Merge pull request #642 from harry0703/dev

feat: remove voice filter

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,81 @@
+name: 🐛 Bug
+description: 出现错误或未按预期工作
+title: "请在此处填写标题"
+labels:
+  - bug
+
+body:
+  - type: markdown
+    attributes:
+      value: |
+        **在提交此问题之前，请确保您已阅读以下文档：[Getting Started (英文)](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#system-requirements-) 或 [快速开始 (中文)](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README.md#%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B-)。**
+
+        **请填写以下信息：**
+  - type: checkboxes
+    attributes:
+      label: 是否已存在类似问题？
+      description: |
+        请务必检查此问题是否已有用户反馈。
+        
+        在提交新问题前，使用 GitHub 的问题搜索框（包括已关闭的问题）或通过 Google、StackOverflow 等工具搜索，确认该问题是否重复。
+        
+        您可能已经可以找到解决问题的方法！
+      options:
+        - label: 我已搜索现有问题
+          required: true
+  - type: textarea
+    attributes:
+      label: 当前行为
+      description: 描述您当前遇到的情况。
+      placeholder: |
+        MoneyPrinterTurbo 未按预期工作。当我执行某个操作时，视频未成功生成/程序报错了...
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 预期行为
+      description: 描述您期望发生的情况。
+      placeholder: |
+        当我执行某个操作时，程序应当...
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 重现步骤
+      description: 描述重现问题的步骤。描述的越详细，越有助于定位和修复问题。
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 堆栈追踪/日志
+      description: |
+        如果您有任何堆栈追踪或日志，请将它们粘贴在此处。（注意不要包含敏感信息）
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Python 版本
+      description: 您遇到此问题时使用的 Python 版本。
+      placeholder: v3.13.0, v3.10.0 等
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: 操作系统
+      description: 您使用 MoneyPrinterTurbo 遇到问题时的操作系统信息。
+      placeholder: macOS 14.1, Windows 11 等
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: MoneyPrinterTurbo 版本
+      description: 您在哪个版本的 MoneyPrinterTurbo 中遇到了此问题？
+      placeholder: v1.2.2 等
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 其他信息
+      description: 您还有什么其他信息想补充吗？例如问题的截图或视频记录。
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1 @@
+blank_issues_enabled: false

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -0,0 +1,38 @@
+name: ✨ 增加功能
+description: 为此项目提出一个新想法
+title: "请在此处填写标题"
+labels:
+  - enhancement
+
+body:
+  - type: checkboxes
+    attributes:
+      label: 是否已存在类似的功能请求？
+      description: 请确保此功能请求是否重复。
+      options:
+        - label: 我已搜索现有的功能请求
+          required: true
+  - type: textarea
+    attributes:
+      label: 痛点
+      description: 请解释您的功能请求。
+      placeholder: 我希望可以实现这一点
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 建议的解决方案
+      description: 请描述您能想到的解决方案。
+      placeholder: 您可以添加这个功能 / 更改这个流程 / 使用某种方法
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 有用的资源
+      description: 请提供一些有助于实现您建议的资源。
+  - type: textarea
+    attributes:
+      label: 其他信息
+      description: 您还有什么其他想补充的信息吗？例如问题的截图或视频记录。
+    validations:
+      required: false

.gitignore

@@ -22,4 +22,7 @@ node_modules
 /sites/docs/.vuepress/dist
 # 模型目录
 /models/
-./models/*
+./models/*
+
+venv/
+.venv

.pdm-python

@@ -0,0 +1 @@
+./MoneyPrinterTurbo/.venv/bin/python

Dockerfile

@@ -1,5 +1,5 @@
 # Use an official Python runtime as a parent image
-FROM python:3.10-slim-bullseye
+FROM python:3.11-slim-bullseye
 
 # Set the working directory in the container
 WORKDIR /MoneyPrinterTurbo
@@ -41,4 +41,4 @@ CMD ["streamlit", "run", "./webui/Main.py","--browser.serverAddress=127.0.0.1","
 ## For Linux or MacOS:
 # docker run -v $(pwd)/config.toml:/MoneyPrinterTurbo/config.toml -v $(pwd)/storage:/MoneyPrinterTurbo/storage -p 8501:8501 moneyprinterturbo
 ## For Windows:
-# docker run -v %cd%/config.toml:/MoneyPrinterTurbo/config.toml -v %cd%/storage:/MoneyPrinterTurbo/storage -p 8501:8501 moneyprinterturbo
+# docker run -v ${PWD}/config.toml:/MoneyPrinterTurbo/config.toml -v ${PWD}/storage:/MoneyPrinterTurbo/storage -p 8501:8501 moneyprinterturbo

README-en.md

@@ -35,9 +35,18 @@ like to express our special thanks to
 **RecCloud (AI-Powered Multimedia Service Platform)** for providing a free `AI Video Generator` service based on this
 project. It allows for online use without deployment, which is very convenient.
 
-https://reccloud.com
+- Chinese version: https://reccloud.cn
+- English version: https://reccloud.com
 
-![](docs/reccloud.com.jpg)
+![](docs/reccloud.cn.jpg)
+
+## Thanks for Sponsorship 🙏
+
+Thanks to Picwish https://picwish.cn for supporting and sponsoring this project, enabling continuous updates and maintenance.
+
+Picwish focuses on the **image processing field**, providing a rich set of **image processing tools** that extremely simplify complex operations, truly making image processing easier.
+
+![picwish.jpg](docs/picwish.jpg)
 
 ## Features 🎯
 
@@ -51,28 +60,26 @@ https://reccloud.com
   satisfactory one
 - [x] Supports setting the **duration of video clips**, facilitating adjustments to material switching frequency
 - [x] Supports video copy in both **Chinese** and **English**
-- [x] Supports **multiple voice** synthesis
+- [x] Supports **multiple voice** synthesis, with **real-time preview** of effects
 - [x] Supports **subtitle generation**, with adjustable `font`, `position`, `color`, `size`, and also
   supports `subtitle outlining`
 - [x] Supports **background music**, either random or specified music files, with adjustable `background music volume`
-- [x] Video material sources are **high-definition** and **royalty-free**
-- [x] Supports integration with various models such as **OpenAI**, **moonshot**, **Azure**, **gpt4free**, **one-api**,
-  **qianwen**, **Google Gemini**, **Ollama** and more
+- [x] Video material sources are **high-definition** and **royalty-free**, and you can also use your own **local materials**
+- [x] Supports integration with various models such as **OpenAI**, **Moonshot**, **Azure**, **gpt4free**, **one-api**,
+  **Qwen**, **Google Gemini**, **Ollama**, **DeepSeek**, **ERNIE** and more
+    - For users in China, it is recommended to use **DeepSeek** or **Moonshot** as the large model provider (directly accessible in China, no VPN needed. Free credits upon registration, generally sufficient for use)
 
 ❓[How to Use the Free OpenAI GPT-3.5 Model?](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#common-questions-)
 
 ### Future Plans 📅
 
-- [ ] Introduce support for GPT-SoVITS dubbing
-- [ ] Enhance voice synthesis with large models for a more natural and emotionally resonant voice output
-- [ ] Incorporate video transition effects to ensure a smoother viewing experience
-- [ ] Improve the relevance of video content
-- [ ] Add options for video length: short, medium, long
-- [ ] Package the application into a one-click launch bundle for Windows and macOS for ease of use
-- [ ] Enable the use of custom materials
-- [ ] Offer voiceover and background music options with real-time preview
-- [ ] Support a wider range of voice synthesis providers, such as OpenAI TTS, Azure TTS
-- [ ] Automate the upload process to the YouTube platform
+- [ ] GPT-SoVITS dubbing support
+- [ ] Optimize voice synthesis using large models for more natural and emotionally rich voice output
+- [ ] Add video transition effects for a smoother viewing experience
+- [ ] Add more video material sources, improve the matching between video materials and script
+- [ ] Add video length options: short, medium, long
+- [ ] Support more voice synthesis providers, such as OpenAI TTS
+- [ ] Automate upload to YouTube platform
 
 ## Video Demos 📺
 
@@ -115,10 +122,27 @@ https://reccloud.com
 - Recommended minimum 4 CPU cores or more, 8G of memory or more, GPU is not required
 - Windows 10 or MacOS 11.0, and their later versions
 
+## Quick Start 🚀
+
+Download the one-click startup package, extract and use directly (the path should not contain **Chinese characters**, **special characters**, or **spaces**)
+
+### Windows
+- Baidu Netdisk (1.2.1 latest version): https://pan.baidu.com/s/1pSNjxTYiVENulTLm6zieMQ?pwd=g36q Extraction code: g36q
+
+After downloading, it is recommended to **double-click** `update.bat` first to update to the **latest code**, then double-click `start.bat` to launch
+
+After launching, the browser will open automatically (if it opens blank, it is recommended to use **Chrome** or **Edge**)
+
+### Other Systems
+
+One-click startup packages have not been created yet. See the **Installation & Deployment** section below. It is recommended to use **docker** for deployment, which is more convenient.
+
 ## Installation & Deployment 📥
 
+### Prerequisites
+
 - Try to avoid using **Chinese paths** to prevent unpredictable issues
-- Ensure your **network** is stable, meaning you can access foreign websites normally
+- Ensure your **network** is stable, VPN needs to be in `global traffic` mode
 
 #### ① Clone the Project
 
@@ -132,11 +156,6 @@ git clone https://github.com/harry0703/MoneyPrinterTurbo.git
 - Follow the instructions in the `config.toml` file to configure `pexels_api_keys` and `llm_provider`, and according to
   the llm_provider's service provider, set up the corresponding API Key
 
-#### ③ Configure Large Language Models (LLM)
-
-- To use `GPT-4.0` or `GPT-3.5`, you need an `API Key` from `OpenAI`. If you don't have one, you can set `llm_provider`
-  to `g4f` (a free-to-use GPT library https://github.com/xtekky/gpt4free)
-
 ### Docker Deployment 🐳
 
 #### ① Launch the Docker Container
@@ -152,6 +171,8 @@ cd MoneyPrinterTurbo
 docker-compose up
 ```
 
+> Note：The latest version of docker will automatically install docker compose in the form of a plug-in, and the start command is adjusted to `docker compose up `
+
 #### ② Access the Web Interface
 
 Open your browser and visit http://0.0.0.0:8501
@@ -162,27 +183,28 @@ Open your browser and visit http://0.0.0.0:8080/docs Or http://0.0.0.0:8080/redo
 
 ### Manual Deployment 📦
 
-#### ① Create a Python Virtual Environment
+> Video tutorials
+>
+> - Complete usage demonstration: https://v.douyin.com/iFhnwsKY/
+> - How to deploy on Windows: https://v.douyin.com/iFyjoW3M
 
-It is recommended to create a Python virtual environment
-using [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)
+#### ① Install Dependencies
+
+It is recommended to use [pdm](https://pdm-project.org/en/latest/#installation)
 
 ```shell
 git clone https://github.com/harry0703/MoneyPrinterTurbo.git
 cd MoneyPrinterTurbo
-conda create -n MoneyPrinterTurbo python=3.10
-conda activate MoneyPrinterTurbo
-pip install -r requirements.txt
+pdm sync
 ```
 
 #### ② Install ImageMagick
 
 ###### Windows:
 
-- Download https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe
+- Download https://imagemagick.org/script/download.php Choose the Windows version, make sure to select the **static library** version, such as ImageMagick-7.1.1-32-Q16-x64-**static**.exe
 - Install the downloaded ImageMagick, **do not change the installation path**
-- Modify the `config.toml` configuration file, set `imagemagick_path` to your actual installation path (if you didn't
-  change the path during installation, just uncomment it)
+- Modify the `config.toml` configuration file, set `imagemagick_path` to your actual installation path
 
 ###### MacOS:
 
@@ -209,14 +231,12 @@ Note that you need to execute the following commands in the `root directory` of
 ###### Windows
 
 ```bat
-conda activate MoneyPrinterTurbo
 webui.bat
 ```
 
 ###### MacOS or Linux
 
 ```shell
-conda activate MoneyPrinterTurbo
 sh webui.sh
 ```
 
@@ -235,13 +255,15 @@ online for a quick experience.
 
 A list of all supported voices can be viewed here: [Voice List](./docs/voice-list.txt)
 
+2024-04-16 v1.1.2 Added 9 new Azure voice synthesis voices that require API KEY configuration. These voices sound more realistic.
+
 ## Subtitle Generation 📜
 
 Currently, there are 2 ways to generate subtitles:
 
-- edge: Faster generation speed, better performance, no specific requirements for computer configuration, but the
+- **edge**: Faster generation speed, better performance, no specific requirements for computer configuration, but the
   quality may be unstable
-- whisper: Slower generation speed, poorer performance, specific requirements for computer configuration, but more
+- **whisper**: Slower generation speed, poorer performance, specific requirements for computer configuration, but more
   reliable quality
 
 You can switch between them by modifying the `subtitle_provider` in the `config.toml` configuration file
@@ -250,18 +272,22 @@ It is recommended to use `edge` mode, and switch to `whisper` mode if the qualit
 satisfactory.
 
 > Note:
-> If left blank, it means no subtitles will be generated.
+>
+> 1. In whisper mode, you need to download a model file from HuggingFace, about 3GB in size, please ensure good internet connectivity
+> 2. If left blank, it means no subtitles will be generated.
 
-**Download whisper**
-- Please ensure a good internet connectivity
-- `whisper` model can be downloaded from HuggingFace: https://huggingface.co/openai/whisper-large-v3/tree/main
+> Since HuggingFace is not accessible in China, you can use the following methods to download the `whisper-large-v3` model file
 
-After downloading the model to local machine, copy the whole folder and put it into the following path: `.\MoneyPrinterTurbo\models`
+Download links:
 
-This is what the final path should look like: `.\MoneyPrinterTurbo\models\whisper-large-v3`
+- Baidu Netdisk: https://pan.baidu.com/s/11h3Q6tsDtjQKTjUu3sc5cA?pwd=xjs9
+- Quark Netdisk: https://pan.quark.cn/s/3ee3d991d64b
+
+After downloading the model, extract it and place the entire directory in `.\MoneyPrinterTurbo\models`,
+The final file path should look like this: `.\MoneyPrinterTurbo\models\whisper-large-v3`
 
 ```
-MoneyPrinterTurbo  
+MoneyPrinterTurbo
   ├─models
   │   └─whisper-large-v3
   │          config.json
@@ -302,6 +328,16 @@ Once successfully started, modify the `config.toml` configuration as follows:
 - Change `openai_base_url` to `http://localhost:3040/v1/`
 - Set `openai_model_name` to `gpt-3.5-turbo`
 
+> Note: This method may be unstable
+
+### ❓AttributeError: 'str' object has no attribute 'choices'
+
+This issue is caused by the large language model not returning a correct response.
+
+It's likely a network issue. Use a **VPN**, or set `openai_base_url` to your proxy, which should solve the problem.
+
+At the same time, it is recommended to use **Moonshot** or **DeepSeek** as the large model provider, as these service providers have faster access and are more stable in China.
+
 ### ❓RuntimeError: No ffmpeg exe could be found
 
 Normally, ffmpeg will be automatically downloaded and detected.
@@ -326,14 +362,14 @@ ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
 [issue 56](https://github.com/harry0703/MoneyPrinterTurbo/issues/56)
 
 ```
-failed to generate audio, maybe the network is not available. 
+failed to generate audio, maybe the network is not available.
 if you are in China, please use a VPN.
 ```
 
 [issue 44](https://github.com/harry0703/MoneyPrinterTurbo/issues/44)
 
 ```
-failed to download videos, maybe the network is not available. 
+failed to download videos, maybe the network is not available.
 if you are in China, please use a VPN.
 ```
 
@@ -353,6 +389,43 @@ For Linux systems, you can manually install it, refer to https://cn.linux-consol
 
 Thanks to [@wangwenqiao666](https://github.com/wangwenqiao666) for their research and exploration
 
+### ❓ImageMagick's security policy prevents operations related to temporary file @/tmp/tmpur5hyyto.txt
+
+You can find these policies in ImageMagick's configuration file policy.xml.
+This file is usually located in /etc/ImageMagick-`X`/ or a similar location in the ImageMagick installation directory.
+Modify the entry containing `pattern="@"`, change `rights="none"` to `rights="read|write"` to allow read and write operations on files.
+
+### ❓OSError: [Errno 24] Too many open files
+
+This issue is caused by the system's limit on the number of open files. You can solve it by modifying the system's file open limit.
+
+Check the current limit:
+
+```shell
+ulimit -n
+```
+
+If it's too low, you can increase it, for example:
+
+```shell
+ulimit -n 10240
+```
+
+### ❓Whisper model download failed, with the following error
+
+LocalEntryNotfoundEror: Cannot find an appropriate cached snapshotfolderfor the specified revision on the local disk and
+outgoing trafic has been disabled.
+To enablerepo look-ups and downloads online, pass 'local files only=False' as input.
+
+or
+
+An error occured while synchronizing the model Systran/faster-whisper-large-v3 from the Hugging Face Hub:
+An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the
+specified revision on the local disk. Please check your internet connection and try again.
+Trying to load the model directly from the local cache, if it exists.
+
+Solution: [Click to see how to manually download the model from netdisk](#subtitle-generation-)
+
 ## Feedback & Suggestions 📢
 
 - You can submit an [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues) or

README.md

@@ -72,10 +72,6 @@
 - [ ] 支持更多的语音合成服务商，比如 OpenAI TTS
 - [ ] 自动上传到YouTube平台
 
-## 交流讨论 💬
-
-<img src="docs/wechat-group.jpg" width="250">
-
 ## 视频演示 📺
 
 ### 竖屏 9:16
@@ -124,16 +120,12 @@
 下载一键启动包，解压直接使用（路径不要有 **中文**、**特殊字符**、**空格**）
 
 ### Windows
-- 百度网盘（1.2.0 最新版本）: https://pan.baidu.com/s/1gVmFSCleHybiIiW-8ETk_A?pwd=dwt8 提取码: dwt8
+- 百度网盘（1.2.1 老版本）: https://pan.baidu.com/s/1pSNjxTYiVENulTLm6zieMQ?pwd=g36q 提取码: g36q
 
 下载后，建议先**双击执行** `update.bat` 更新到**最新代码**，然后双击 `start.bat` 启动
 
 启动后，会自动打开浏览器（如果打开是空白，建议换成 **Chrome** 或者 **Edge** 打开）
 
-### 其他系统
-
-还没有制作一键启动包，看下面的 **安装部署** 部分，建议使用 **docker** 部署，更加方便。
-
 ## 安装部署 📥
 
 ### 前提条件
@@ -147,7 +139,7 @@
 git clone https://github.com/harry0703/MoneyPrinterTurbo.git
 ```
 
-#### ② 修改配置文件
+#### ② 修改配置文件（可选，建议启动后也可以在 WebUI 里面配置）
 
 - 将 `config.example.toml` 文件复制一份，命名为 `config.toml`
 - 按照 `config.toml` 文件中的说明，配置好 `pexels_api_keys` 和 `llm_provider`，并根据 llm_provider 对应的服务商，配置相关的
@@ -169,6 +161,8 @@ cd MoneyPrinterTurbo
 docker-compose up
 ```
 
+> 注意：最新版的docker安装时会自动以插件的形式安装docker compose，启动命令调整为docker compose up
+
 #### ② 访问Web界面
 
 打开浏览器，访问 http://0.0.0.0:8501
@@ -184,16 +178,14 @@ docker-compose up
 - 完整的使用演示：https://v.douyin.com/iFhnwsKY/
 - 如何在Windows上部署：https://v.douyin.com/iFyjoW3M
 
-#### ① 创建虚拟环境
+#### ① 依赖安装
 
-建议使用 [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html) 创建 python 虚拟环境
+建议使用 [pdm](https://pdm-project.org/en/latest/#installation)
 
 ```shell
 git clone https://github.com/harry0703/MoneyPrinterTurbo.git
 cd MoneyPrinterTurbo
-conda create -n MoneyPrinterTurbo python=3.10
-conda activate MoneyPrinterTurbo
-pip install -r requirements.txt
+pdm sync
 ```
 
 #### ② 安装好 ImageMagick
@@ -224,14 +216,12 @@ pip install -r requirements.txt
 ###### Windows
 
 ```bat
-conda activate MoneyPrinterTurbo
 webui.bat
 ```
 
 ###### MacOS or Linux
 
 ```shell
-conda activate MoneyPrinterTurbo
 sh webui.sh
 ```
 
@@ -299,33 +289,6 @@ MoneyPrinterTurbo
 
 ## 常见问题 🤔
 
-### ❓如何使用免费的OpenAI GPT-3.5模型?
-
-[OpenAI宣布ChatGPT里面3.5已经免费了](https://openai.com/blog/start-using-chatgpt-instantly)，有开发者将其封装成了API，可以直接调用
-
-**确保你安装和启动了docker服务**，执行以下命令启动docker服务
-
-```shell
-docker run -p 3040:3040 missuo/freegpt35
-```
-
-启动成功后，修改 `config.toml` 中的配置
-
-- `llm_provider` 设置为 `openai`
-- `openai_api_key` 随便填写一个即可，比如 '123456'
-- `openai_base_url` 改为 `http://localhost:3040/v1/`
-- `openai_model_name` 改为 `gpt-3.5-turbo`
-
-> 注意：该方式稳定性较差
-
-### ❓AttributeError: 'str' object has no attribute 'choices'`
-
-这个问题是由于大模型没有返回正确的回复导致的。
-
-大概率是网络原因， 使用 **VPN**，或者设置 `openai_base_url` 为你的代理 ，应该就可以解决了。
-
-同时建议使用 **Moonshot** 或 **DeepSeek** 作为大模型提供商，这两个服务商在国内访问速度更快，更加稳定。
-
 ### ❓RuntimeError: No ffmpeg exe could be found
 
 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。

app/asgi.py

@@ -4,10 +4,10 @@ import os
 
 from fastapi import FastAPI, Request
 from fastapi.exceptions import RequestValidationError
-from fastapi.responses import JSONResponse
-from loguru import logger
-from fastapi.staticfiles import StaticFiles
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+from fastapi.staticfiles import StaticFiles
+from loguru import logger
 
 from app.config import config
 from app.models.exception import HttpException

app/config/config.py

@@ -1,7 +1,8 @@
 import os
-import socket
-import toml
 import shutil
+import socket
+
+import toml
 from loguru import logger
 
 root_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
@@ -17,7 +18,7 @@ def load_config():
         example_file = f"{root_dir}/config.example.toml"
         if os.path.isfile(example_file):
             shutil.copyfile(example_file, config_file)
-            logger.info(f"copy config.example.toml to config.toml")
+            logger.info("copy config.example.toml to config.toml")
 
     logger.info(f"load config from file: {config_file}")
 
@@ -44,7 +45,9 @@ app = _cfg.get("app", {})
 whisper = _cfg.get("whisper", {})
 proxy = _cfg.get("proxy", {})
 azure = _cfg.get("azure", {})
-ui = _cfg.get("ui", {})
+ui = _cfg.get("ui", {
+    "hide_log": False,
+})
 
 hostname = socket.gethostname()
 
@@ -56,7 +59,7 @@ project_description = _cfg.get(
     "project_description",
     "<a href='https://github.com/harry0703/MoneyPrinterTurbo'>https://github.com/harry0703/MoneyPrinterTurbo</a>",
 )
-project_version = _cfg.get("project_version", "1.2.1")
+project_version = _cfg.get("project_version", "1.2.4")
 reload_debug = False
 
 imagemagick_path = app.get("imagemagick_path", "")

app/controllers/manager/base_manager.py

@@ -1,5 +1,5 @@
 import threading
-from typing import Callable, Any, Dict
+from typing import Any, Callable, Dict
 
 
 class TaskManager:
@@ -33,7 +33,7 @@ class TaskManager:
         try:
             with self.lock:
                 self.current_tasks += 1
-            func(*args, **kwargs)  # 在这里调用函数，传递*args和**kwargs
+            func(*args, **kwargs)  # call the function here, passing *args and **kwargs.
         finally:
             self.task_done()
 

app/controllers/ping.py

@@ -1,5 +1,4 @@
-from fastapi import APIRouter
-from fastapi import Request
+from fastapi import APIRouter, Request
 
 router = APIRouter()
 

app/controllers/v1/base.py

@@ -1,4 +1,4 @@
-from fastapi import APIRouter, Depends
+from fastapi import APIRouter
 
 
 def new_router(dependencies=None):

app/controllers/v1/llm.py

@@ -1,15 +1,16 @@
 from fastapi import Request
+
 from app.controllers.v1.base import new_router
 from app.models.schema import (
-    VideoScriptResponse,
     VideoScriptRequest,
-    VideoTermsResponse,
+    VideoScriptResponse,
     VideoTermsRequest,
+    VideoTermsResponse,
 )
 from app.services import llm
 from app.utils import utils
 
-# 认证依赖项
+# authentication dependency
 # router = new_router(dependencies=[Depends(base.verify_token)])
 router = new_router()
 

app/controllers/v1/video.py

@@ -94,6 +94,22 @@ def create_task(
             task_id=task_id, status_code=400, message=f"{request_id}: {str(e)}"
         )
 
+from fastapi import Query
+
+@router.get("/tasks", response_model=TaskQueryResponse, summary="Get all tasks")
+def get_all_tasks(request: Request, page: int = Query(1, ge=1), page_size: int = Query(10, ge=1)):
+    request_id = base.get_task_id(request)
+    tasks, total = sm.state.get_all_tasks(page, page_size)
+
+    response = {
+        "tasks": tasks,
+        "total": total,
+        "page": page,
+        "page_size": page_size,
+    }
+    return utils.get_response(200, response)
+
+
 
 @router.get(
     "/tasks/{task_id}", response_model=TaskQueryResponse, summary="Query task status"

app/models/exception.py

@@ -11,7 +11,7 @@ class HttpException(Exception):
         self.message = message
         self.status_code = status_code
         self.data = data
-        # 获取异常堆栈信息
+        # Retrieve the exception stack trace information.
         tb_str = traceback.format_exc().strip()
         if not tb_str or tb_str == "NoneType: None":
             msg = f"HttpException: {status_code}, {task_id}, {message}"

app/models/schema.py

@@ -1,6 +1,6 @@
 import warnings
 from enum import Enum
-from typing import Any, List, Optional
+from typing import Any, List, Optional, Union
 
 import pydantic
 from pydantic import BaseModel
@@ -18,6 +18,15 @@ class VideoConcatMode(str, Enum):
     sequential = "sequential"
 
 
+class VideoTransitionMode(str, Enum):
+    none = None
+    shuffle = "Shuffle"
+    fade_in = "FadeIn"
+    fade_out = "FadeOut"
+    slide_in = "SlideIn"
+    slide_out = "SlideOut"
+
+
 class VideoAspect(str, Enum):
     landscape = "16:9"
     portrait = "9:16"
@@ -44,44 +53,6 @@ class MaterialInfo:
     duration: int = 0
 
 
-# VoiceNames = [
-#     # zh-CN
-#     "female-zh-CN-XiaoxiaoNeural",
-#     "female-zh-CN-XiaoyiNeural",
-#     "female-zh-CN-liaoning-XiaobeiNeural",
-#     "female-zh-CN-shaanxi-XiaoniNeural",
-#
-#     "male-zh-CN-YunjianNeural",
-#     "male-zh-CN-YunxiNeural",
-#     "male-zh-CN-YunxiaNeural",
-#     "male-zh-CN-YunyangNeural",
-#
-#     # "female-zh-HK-HiuGaaiNeural",
-#     # "female-zh-HK-HiuMaanNeural",
-#     # "male-zh-HK-WanLungNeural",
-#     #
-#     # "female-zh-TW-HsiaoChenNeural",
-#     # "female-zh-TW-HsiaoYuNeural",
-#     # "male-zh-TW-YunJheNeural",
-#
-#     # en-US
-#     "female-en-US-AnaNeural",
-#     "female-en-US-AriaNeural",
-#     "female-en-US-AvaNeural",
-#     "female-en-US-EmmaNeural",
-#     "female-en-US-JennyNeural",
-#     "female-en-US-MichelleNeural",
-#
-#     "male-en-US-AndrewNeural",
-#     "male-en-US-BrianNeural",
-#     "male-en-US-ChristopherNeural",
-#     "male-en-US-EricNeural",
-#     "male-en-US-GuyNeural",
-#     "male-en-US-RogerNeural",
-#     "male-en-US-SteffanNeural",
-# ]
-
-
 class VideoParams(BaseModel):
     """
     {
@@ -98,15 +69,18 @@ class VideoParams(BaseModel):
     """
 
     video_subject: str
-    video_script: str = ""  # 用于生成视频的脚本
-    video_terms: Optional[str | list] = None  # 用于生成视频的关键词
+    video_script: str = ""  # Script used to generate the video
+    video_terms: Optional[str | list] = None  # Keywords used to generate the video
     video_aspect: Optional[VideoAspect] = VideoAspect.portrait.value
     video_concat_mode: Optional[VideoConcatMode] = VideoConcatMode.random.value
+    video_transition_mode: Optional[VideoTransitionMode] = None
     video_clip_duration: Optional[int] = 5
     video_count: Optional[int] = 1
 
     video_source: Optional[str] = "pexels"
-    video_materials: Optional[List[MaterialInfo]] = None  # 用于生成视频的素材
+    video_materials: Optional[List[MaterialInfo]] = (
+        None  # Materials used to generate the video
+    )
 
     video_language: Optional[str] = ""  # auto detect
 
@@ -122,7 +96,7 @@ class VideoParams(BaseModel):
     custom_position: float = 70.0
     font_name: Optional[str] = "STHeitiMedium.ttc"
     text_fore_color: Optional[str] = "#FFFFFF"
-    text_background_color: Optional[str] = "transparent"
+    text_background_color: Union[bool, str] = True
 
     font_size: int = 60
     stroke_color: Optional[str] = "#000000"
@@ -143,7 +117,7 @@ class SubtitleRequest(BaseModel):
     subtitle_position: Optional[str] = "bottom"
     font_name: Optional[str] = "STHeitiMedium.ttc"
     text_fore_color: Optional[str] = "#FFFFFF"
-    text_background_color: Optional[str] = "transparent"
+    text_background_color: Union[bool, str] = True
     font_size: int = 60
     stroke_color: Optional[str] = "#000000"
     stroke_width: float = 1.5

app/services/llm.py

@@ -1,10 +1,11 @@
+import json
 import logging
 import re
-import json
 from typing import List
+
+import g4f
 from loguru import logger
-from openai import OpenAI
-from openai import AzureOpenAI
+from openai import AzureOpenAI, OpenAI
 from openai.types.chat import ChatCompletion
 
 from app.config import config
@@ -13,243 +14,249 @@ _max_retries = 5
 
 
 def _generate_response(prompt: str) -> str:
-    content = ""
-    llm_provider = config.app.get("llm_provider", "openai")
-    logger.info(f"llm provider: {llm_provider}")
-    if llm_provider == "g4f":
-        model_name = config.app.get("g4f_model_name", "")
-        if not model_name:
-            model_name = "gpt-3.5-turbo-16k-0613"
-        import g4f
-
-        content = g4f.ChatCompletion.create(
-            model=model_name,
-            messages=[{"role": "user", "content": prompt}],
-        )
-    else:
-        api_version = ""  # for azure
-        if llm_provider == "moonshot":
-            api_key = config.app.get("moonshot_api_key")
-            model_name = config.app.get("moonshot_model_name")
-            base_url = "https://api.moonshot.cn/v1"
-        elif llm_provider == "ollama":
-            # api_key = config.app.get("openai_api_key")
-            api_key = "ollama"  # any string works but you are required to have one
-            model_name = config.app.get("ollama_model_name")
-            base_url = config.app.get("ollama_base_url", "")
-            if not base_url:
-                base_url = "http://localhost:11434/v1"
-        elif llm_provider == "openai":
-            api_key = config.app.get("openai_api_key")
-            model_name = config.app.get("openai_model_name")
-            base_url = config.app.get("openai_base_url", "")
-            if not base_url:
-                base_url = "https://api.openai.com/v1"
-        elif llm_provider == "oneapi":
-            api_key = config.app.get("oneapi_api_key")
-            model_name = config.app.get("oneapi_model_name")
-            base_url = config.app.get("oneapi_base_url", "")
-        elif llm_provider == "azure":
-            api_key = config.app.get("azure_api_key")
-            model_name = config.app.get("azure_model_name")
-            base_url = config.app.get("azure_base_url", "")
-            api_version = config.app.get("azure_api_version", "2024-02-15-preview")
-        elif llm_provider == "gemini":
-            api_key = config.app.get("gemini_api_key")
-            model_name = config.app.get("gemini_model_name")
-            base_url = "***"
-        elif llm_provider == "qwen":
-            api_key = config.app.get("qwen_api_key")
-            model_name = config.app.get("qwen_model_name")
-            base_url = "***"
-        elif llm_provider == "cloudflare":
-            api_key = config.app.get("cloudflare_api_key")
-            model_name = config.app.get("cloudflare_model_name")
-            account_id = config.app.get("cloudflare_account_id")
-            base_url = "***"
-        elif llm_provider == "deepseek":
-            api_key = config.app.get("deepseek_api_key")
-            model_name = config.app.get("deepseek_model_name")
-            base_url = config.app.get("deepseek_base_url")
-            if not base_url:
-                base_url = "https://api.deepseek.com"
-        elif llm_provider == "ernie":
-            api_key = config.app.get("ernie_api_key")
-            secret_key = config.app.get("ernie_secret_key")
-            base_url = config.app.get("ernie_base_url")
-            model_name = "***"
-            if not secret_key:
-                raise ValueError(
-                    f"{llm_provider}: secret_key is not set, please set it in the config.toml file."
-                )
+    try:
+        content = ""
+        llm_provider = config.app.get("llm_provider", "openai")
+        logger.info(f"llm provider: {llm_provider}")
+        if llm_provider == "g4f":
+            model_name = config.app.get("g4f_model_name", "")
+            if not model_name:
+                model_name = "gpt-3.5-turbo-16k-0613"
+            content = g4f.ChatCompletion.create(
+                model=model_name,
+                messages=[{"role": "user", "content": prompt}],
+            )
         else:
-            raise ValueError(
-                "llm_provider is not set, please set it in the config.toml file."
-            )
+            api_version = ""  # for azure
+            if llm_provider == "moonshot":
+                api_key = config.app.get("moonshot_api_key")
+                model_name = config.app.get("moonshot_model_name")
+                base_url = "https://api.moonshot.cn/v1"
+            elif llm_provider == "ollama":
+                # api_key = config.app.get("openai_api_key")
+                api_key = "ollama"  # any string works but you are required to have one
+                model_name = config.app.get("ollama_model_name")
+                base_url = config.app.get("ollama_base_url", "")
+                if not base_url:
+                    base_url = "http://localhost:11434/v1"
+            elif llm_provider == "openai":
+                api_key = config.app.get("openai_api_key")
+                model_name = config.app.get("openai_model_name")
+                base_url = config.app.get("openai_base_url", "")
+                if not base_url:
+                    base_url = "https://api.openai.com/v1"
+            elif llm_provider == "oneapi":
+                api_key = config.app.get("oneapi_api_key")
+                model_name = config.app.get("oneapi_model_name")
+                base_url = config.app.get("oneapi_base_url", "")
+            elif llm_provider == "azure":
+                api_key = config.app.get("azure_api_key")
+                model_name = config.app.get("azure_model_name")
+                base_url = config.app.get("azure_base_url", "")
+                api_version = config.app.get("azure_api_version", "2024-02-15-preview")
+            elif llm_provider == "gemini":
+                api_key = config.app.get("gemini_api_key")
+                model_name = config.app.get("gemini_model_name")
+                base_url = "***"
+            elif llm_provider == "qwen":
+                api_key = config.app.get("qwen_api_key")
+                model_name = config.app.get("qwen_model_name")
+                base_url = "***"
+            elif llm_provider == "cloudflare":
+                api_key = config.app.get("cloudflare_api_key")
+                model_name = config.app.get("cloudflare_model_name")
+                account_id = config.app.get("cloudflare_account_id")
+                base_url = "***"
+            elif llm_provider == "deepseek":
+                api_key = config.app.get("deepseek_api_key")
+                model_name = config.app.get("deepseek_model_name")
+                base_url = config.app.get("deepseek_base_url")
+                if not base_url:
+                    base_url = "https://api.deepseek.com"
+            elif llm_provider == "ernie":
+                api_key = config.app.get("ernie_api_key")
+                secret_key = config.app.get("ernie_secret_key")
+                base_url = config.app.get("ernie_base_url")
+                model_name = "***"
+                if not secret_key:
+                    raise ValueError(
+                        f"{llm_provider}: secret_key is not set, please set it in the config.toml file."
+                    )
+            else:
+                raise ValueError(
+                    "llm_provider is not set, please set it in the config.toml file."
+                )
 
-        if not api_key:
-            raise ValueError(
-                f"{llm_provider}: api_key is not set, please set it in the config.toml file."
-            )
-        if not model_name:
-            raise ValueError(
-                f"{llm_provider}: model_name is not set, please set it in the config.toml file."
-            )
-        if not base_url:
-            raise ValueError(
-                f"{llm_provider}: base_url is not set, please set it in the config.toml file."
-            )
+            if not api_key:
+                raise ValueError(
+                    f"{llm_provider}: api_key is not set, please set it in the config.toml file."
+                )
+            if not model_name:
+                raise ValueError(
+                    f"{llm_provider}: model_name is not set, please set it in the config.toml file."
+                )
+            if not base_url:
+                raise ValueError(
+                    f"{llm_provider}: base_url is not set, please set it in the config.toml file."
+                )
 
-        if llm_provider == "qwen":
-            import dashscope
-            from dashscope.api_entities.dashscope_response import GenerationResponse
+            if llm_provider == "qwen":
+                import dashscope
+                from dashscope.api_entities.dashscope_response import GenerationResponse
 
-            dashscope.api_key = api_key
-            response = dashscope.Generation.call(
+                dashscope.api_key = api_key
+                response = dashscope.Generation.call(
+                    model=model_name, messages=[{"role": "user", "content": prompt}]
+                )
+                if response:
+                    if isinstance(response, GenerationResponse):
+                        status_code = response.status_code
+                        if status_code != 200:
+                            raise Exception(
+                                f'[{llm_provider}] returned an error response: "{response}"'
+                            )
+
+                        content = response["output"]["text"]
+                        return content.replace("\n", "")
+                    else:
+                        raise Exception(
+                            f'[{llm_provider}] returned an invalid response: "{response}"'
+                        )
+                else:
+                    raise Exception(f"[{llm_provider}] returned an empty response")
+
+            if llm_provider == "gemini":
+                import google.generativeai as genai
+
+                genai.configure(api_key=api_key, transport="rest")
+
+                generation_config = {
+                    "temperature": 0.5,
+                    "top_p": 1,
+                    "top_k": 1,
+                    "max_output_tokens": 2048,
+                }
+
+                safety_settings = [
+                    {
+                        "category": "HARM_CATEGORY_HARASSMENT",
+                        "threshold": "BLOCK_ONLY_HIGH",
+                    },
+                    {
+                        "category": "HARM_CATEGORY_HATE_SPEECH",
+                        "threshold": "BLOCK_ONLY_HIGH",
+                    },
+                    {
+                        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                        "threshold": "BLOCK_ONLY_HIGH",
+                    },
+                    {
+                        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                        "threshold": "BLOCK_ONLY_HIGH",
+                    },
+                ]
+
+                model = genai.GenerativeModel(
+                    model_name=model_name,
+                    generation_config=generation_config,
+                    safety_settings=safety_settings,
+                )
+
+                try:
+                    response = model.generate_content(prompt)
+                    candidates = response.candidates
+                    generated_text = candidates[0].content.parts[0].text
+                except (AttributeError, IndexError) as e:
+                    print("Gemini Error:", e)
+
+                return generated_text
+
+            if llm_provider == "cloudflare":
+                import requests
+
+                response = requests.post(
+                    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model_name}",
+                    headers={"Authorization": f"Bearer {api_key}"},
+                    json={
+                        "messages": [
+                            {
+                                "role": "system",
+                                "content": "You are a friendly assistant",
+                            },
+                            {"role": "user", "content": prompt},
+                        ]
+                    },
+                )
+                result = response.json()
+                logger.info(result)
+                return result["result"]["response"]
+
+            if llm_provider == "ernie":
+                import requests
+
+                params = {
+                    "grant_type": "client_credentials",
+                    "client_id": api_key,
+                    "client_secret": secret_key,
+                }
+                access_token = (
+                    requests.post(
+                        "https://aip.baidubce.com/oauth/2.0/token", params=params
+                    )
+                    .json()
+                    .get("access_token")
+                )
+                url = f"{base_url}?access_token={access_token}"
+
+                payload = json.dumps(
+                    {
+                        "messages": [{"role": "user", "content": prompt}],
+                        "temperature": 0.5,
+                        "top_p": 0.8,
+                        "penalty_score": 1,
+                        "disable_search": False,
+                        "enable_citation": False,
+                        "response_format": "text",
+                    }
+                )
+                headers = {"Content-Type": "application/json"}
+
+                response = requests.request(
+                    "POST", url, headers=headers, data=payload
+                ).json()
+                return response.get("result")
+
+            if llm_provider == "azure":
+                client = AzureOpenAI(
+                    api_key=api_key,
+                    api_version=api_version,
+                    azure_endpoint=base_url,
+                )
+            else:
+                client = OpenAI(
+                    api_key=api_key,
+                    base_url=base_url,
+                )
+
+            response = client.chat.completions.create(
                 model=model_name, messages=[{"role": "user", "content": prompt}]
             )
             if response:
-                if isinstance(response, GenerationResponse):
-                    status_code = response.status_code
-                    if status_code != 200:
-                        raise Exception(
-                            f'[{llm_provider}] returned an error response: "{response}"'
-                        )
-
-                    content = response["output"]["text"]
-                    return content.replace("\n", "")
+                if isinstance(response, ChatCompletion):
+                    content = response.choices[0].message.content
                 else:
                     raise Exception(
-                        f'[{llm_provider}] returned an invalid response: "{response}"'
+                        f'[{llm_provider}] returned an invalid response: "{response}", please check your network '
+                        f"connection and try again."
                     )
-            else:
-                raise Exception(f"[{llm_provider}] returned an empty response")
-
-        if llm_provider == "gemini":
-            import google.generativeai as genai
-
-            genai.configure(api_key=api_key, transport="rest")
-
-            generation_config = {
-                "temperature": 0.5,
-                "top_p": 1,
-                "top_k": 1,
-                "max_output_tokens": 2048,
-            }
-
-            safety_settings = [
-                {
-                    "category": "HARM_CATEGORY_HARASSMENT",
-                    "threshold": "BLOCK_ONLY_HIGH",
-                },
-                {
-                    "category": "HARM_CATEGORY_HATE_SPEECH",
-                    "threshold": "BLOCK_ONLY_HIGH",
-                },
-                {
-                    "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
-                    "threshold": "BLOCK_ONLY_HIGH",
-                },
-                {
-                    "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
-                    "threshold": "BLOCK_ONLY_HIGH",
-                },
-            ]
-
-            model = genai.GenerativeModel(
-                model_name=model_name,
-                generation_config=generation_config,
-                safety_settings=safety_settings,
-            )
-
-            try:
-                response = model.generate_content(prompt)
-                candidates = response.candidates
-                generated_text = candidates[0].content.parts[0].text
-            except (AttributeError, IndexError) as e:
-                print("Gemini Error:", e)
-
-            return generated_text
-
-        if llm_provider == "cloudflare":
-            import requests
-
-            response = requests.post(
-                f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model_name}",
-                headers={"Authorization": f"Bearer {api_key}"},
-                json={
-                    "messages": [
-                        {"role": "system", "content": "You are a friendly assistant"},
-                        {"role": "user", "content": prompt},
-                    ]
-                },
-            )
-            result = response.json()
-            logger.info(result)
-            return result["result"]["response"]
-
-        if llm_provider == "ernie":
-            import requests
-
-            params = {
-                "grant_type": "client_credentials",
-                "client_id": api_key,
-                "client_secret": secret_key,
-            }
-            access_token = (
-                requests.post("https://aip.baidubce.com/oauth/2.0/token", params=params)
-                .json()
-                .get("access_token")
-            )
-            url = f"{base_url}?access_token={access_token}"
-
-            payload = json.dumps(
-                {
-                    "messages": [{"role": "user", "content": prompt}],
-                    "temperature": 0.5,
-                    "top_p": 0.8,
-                    "penalty_score": 1,
-                    "disable_search": False,
-                    "enable_citation": False,
-                    "response_format": "text",
-                }
-            )
-            headers = {"Content-Type": "application/json"}
-
-            response = requests.request(
-                "POST", url, headers=headers, data=payload
-            ).json()
-            return response.get("result")
-
-        if llm_provider == "azure":
-            client = AzureOpenAI(
-                api_key=api_key,
-                api_version=api_version,
-                azure_endpoint=base_url,
-            )
-        else:
-            client = OpenAI(
-                api_key=api_key,
-                base_url=base_url,
-            )
-
-        response = client.chat.completions.create(
-            model=model_name, messages=[{"role": "user", "content": prompt}]
-        )
-        if response:
-            if isinstance(response, ChatCompletion):
-                content = response.choices[0].message.content
             else:
                 raise Exception(
-                    f'[{llm_provider}] returned an invalid response: "{response}", please check your network '
-                    f"connection and try again."
+                    f"[{llm_provider}] returned an empty response, please check your network connection and try again."
                 )
-        else:
-            raise Exception(
-                f"[{llm_provider}] returned an empty response, please check your network connection and try again."
-            )
 
-    return content.replace("\n", "")
+        return content.replace("\n", "")
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 
 def generate_script(
@@ -295,7 +302,7 @@ Generate a script for a video, depending on the subject of the video.
         paragraphs = response.split("\n\n")
 
         # Select the specified number of paragraphs
-        selected_paragraphs = paragraphs[:paragraph_number]
+        # selected_paragraphs = paragraphs[:paragraph_number]
 
         # Join the selected paragraphs into a single string
         return "\n\n".join(paragraphs)
@@ -319,8 +326,10 @@ Generate a script for a video, depending on the subject of the video.
 
         if i < _max_retries:
             logger.warning(f"failed to generate video script, trying again... {i + 1}")
-
-    logger.success(f"completed: \n{final_script}")
+    if "Error: " in final_script:
+        logger.error(f"failed to generate video script: {final_script}")
+    else:
+        logger.success(f"completed: \n{final_script}")
     return final_script.strip()
 
 
@@ -358,6 +367,9 @@ Please note that you must use English for generating video search terms; Chinese
     for i in range(_max_retries):
         try:
             response = _generate_response(prompt)
+            if "Error: " in response:
+                logger.error(f"failed to generate video script: {response}")
+                return response
             search_terms = json.loads(response)
             if not isinstance(search_terms, list) or not all(
                 isinstance(term, str) for term in search_terms

app/services/material.py

@@ -1,14 +1,14 @@
 import os
 import random
+from typing import List
 from urllib.parse import urlencode
 
 import requests
-from typing import List
 from loguru import logger
 from moviepy.video.io.VideoFileClip import VideoFileClip
 
 from app.config import config
-from app.models.schema import VideoAspect, VideoConcatMode, MaterialInfo
+from app.models.schema import MaterialInfo, VideoAspect, VideoConcatMode
 from app.utils import utils
 
 requested_count = 0
@@ -40,7 +40,10 @@ def search_videos_pexels(
     video_orientation = aspect.name
     video_width, video_height = aspect.to_resolution()
     api_key = get_api_key("pexels_api_keys")
-    headers = {"Authorization": api_key}
+    headers = {
+        "Authorization": api_key,
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36",
+    }
     # Build URL
     params = {"query": search_term, "per_page": 20, "orientation": video_orientation}
     query_url = f"https://api.pexels.com/videos/search?{urlencode(params)}"
@@ -126,7 +129,7 @@ def search_videos_pixabay(
             for video_type in video_files:
                 video = video_files[video_type]
                 w = int(video["width"])
-                h = int(video["height"])
+                # h = int(video["height"])
                 if w >= video_width:
                     item = MaterialInfo()
                     item.provider = "pixabay"
@@ -158,11 +161,19 @@ def save_video(video_url: str, save_dir: str = "") -> str:
         logger.info(f"video already exists: {video_path}")
         return video_path
 
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"
+    }
+
     # if video does not exist, download it
     with open(video_path, "wb") as f:
         f.write(
             requests.get(
-                video_url, proxies=config.proxy, verify=False, timeout=(60, 240)
+                video_url,
+                headers=headers,
+                proxies=config.proxy,
+                verify=False,
+                timeout=(60, 240),
             ).content
         )
 
@@ -177,7 +188,7 @@ def save_video(video_url: str, save_dir: str = "") -> str:
         except Exception as e:
             try:
                 os.remove(video_path)
-            except Exception as e:
+            except Exception:
                 pass
             logger.warning(f"invalid video file: {video_path} => {str(e)}")
     return ""

app/services/state.py

@@ -1,5 +1,6 @@
 import ast
 from abc import ABC, abstractmethod
+
 from app.config import config
 from app.models import const
 
@@ -14,12 +15,23 @@ class BaseState(ABC):
     def get_task(self, task_id: str):
         pass
 
+    @abstractmethod
+    def get_all_tasks(self, page: int, page_size: int):
+        pass
+
 
 # Memory state management
 class MemoryState(BaseState):
     def __init__(self):
         self._tasks = {}
 
+    def get_all_tasks(self, page: int, page_size: int):
+        start = (page - 1) * page_size
+        end = start + page_size
+        tasks = list(self._tasks.values())
+        total = len(tasks)
+        return tasks[start:end], total
+
     def update_task(
         self,
         task_id: str,
@@ -32,6 +44,7 @@ class MemoryState(BaseState):
             progress = 100
 
         self._tasks[task_id] = {
+            "task_id": task_id,
             "state": state,
             "progress": progress,
             **kwargs,
@@ -52,6 +65,28 @@ class RedisState(BaseState):
 
         self._redis = redis.StrictRedis(host=host, port=port, db=db, password=password)
 
+    def get_all_tasks(self, page: int, page_size: int):
+        start = (page - 1) * page_size
+        end = start + page_size
+        tasks = []
+        cursor = 0
+        total = 0
+        while True:
+            cursor, keys = self._redis.scan(cursor, count=page_size)
+            total += len(keys)
+            if total > start:
+                for key in keys[max(0, start - total):end - total]:
+                    task_data = self._redis.hgetall(key)
+                    task = {
+                        k.decode("utf-8"): self._convert_to_original_type(v) for k, v in task_data.items()
+                    }
+                    tasks.append(task)
+                    if len(tasks) >= page_size:
+                        break
+            if cursor == 0 or len(tasks) >= page_size:
+                break
+        return tasks, total
+
     def update_task(
         self,
         task_id: str,
@@ -64,6 +99,7 @@ class RedisState(BaseState):
             progress = 100
 
         fields = {
+            "task_id": task_id,
             "state": state,
             "progress": progress,
             **kwargs,

app/services/subtitle.py

@@ -1,9 +1,9 @@
 import json
 import os.path
 import re
+from timeit import default_timer as timer
 
 from faster_whisper import WhisperModel
-from timeit import default_timer as timer
 from loguru import logger
 
 from app.config import config
@@ -88,7 +88,7 @@ def create(audio_file, subtitle_file: str = ""):
                     is_segmented = True
 
                 seg_end = word.end
-                # 如果包含标点,则断句
+                # If it contains punctuation, then break the sentence.
                 seg_text += word.word
 
                 if utils.str_contains_punctuation(word.word):
@@ -246,7 +246,7 @@ def correct(subtitle_file, video_script):
             script_index += 1
             subtitle_index = next_subtitle_index
 
-    # 处理剩余的脚本行
+    # Process the remaining lines of the script.
     while script_index < len(script_lines):
         logger.warning(f"Extra script line: {script_lines[script_index]}")
         if subtitle_index < len(subtitle_items):

app/services/task.py

@@ -3,7 +3,6 @@ import os.path
 import re
 from os import path
 
-from edge_tts import SubMaker
 from loguru import logger
 
 from app.config import config
@@ -99,7 +98,7 @@ def generate_subtitle(task_id, params, video_script, sub_maker, audio_file):
         return ""
 
     subtitle_path = path.join(utils.task_dir(task_id), "subtitle.srt")
-    subtitle_provider = config.app.get("subtitle_provider", "").strip().lower()
+    subtitle_provider = config.app.get("subtitle_provider", "edge").strip().lower()
     logger.info(f"\n\n## generating subtitle, provider: {subtitle_provider}")
 
     subtitle_fallback = False
@@ -158,13 +157,14 @@ def get_video_materials(task_id, params, video_terms, audio_duration):
 
 
 def generate_final_videos(
-        task_id, params, downloaded_videos, audio_file, subtitle_path
+    task_id, params, downloaded_videos, audio_file, subtitle_path
 ):
     final_video_paths = []
     combined_video_paths = []
     video_concat_mode = (
         params.video_concat_mode if params.video_count == 1 else VideoConcatMode.random
     )
+    video_transition_mode = params.video_transition_mode
 
     _progress = 50
     for i in range(params.video_count):
@@ -179,6 +179,7 @@ def generate_final_videos(
             audio_file=audio_file,
             video_aspect=params.video_aspect,
             video_concat_mode=video_concat_mode,
+            video_transition_mode=video_transition_mode,
             max_clip_duration=params.video_clip_duration,
             threads=params.n_threads,
         )
@@ -212,10 +213,10 @@ def start(task_id, params: VideoParams, stop_at: str = "video"):
 
     if type(params.video_concat_mode) is str:
         params.video_concat_mode = VideoConcatMode(params.video_concat_mode)
-        
+
     # 1. Generate script
     video_script = generate_script(task_id, params)
-    if not video_script:
+    if not video_script or "Error: " in video_script:
         sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
         return
 
@@ -246,7 +247,9 @@ def start(task_id, params: VideoParams, stop_at: str = "video"):
     sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=20)
 
     # 3. Generate audio
-    audio_file, audio_duration, sub_maker = generate_audio(task_id, params, video_script)
+    audio_file, audio_duration, sub_maker = generate_audio(
+        task_id, params, video_script
+    )
     if not audio_file:
         sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
         return
@@ -263,7 +266,9 @@ def start(task_id, params: VideoParams, stop_at: str = "video"):
         return {"audio_file": audio_file, "audio_duration": audio_duration}
 
     # 4. Generate subtitle
-    subtitle_path = generate_subtitle(task_id, params, video_script, sub_maker, audio_file)
+    subtitle_path = generate_subtitle(
+        task_id, params, video_script, sub_maker, audio_file
+    )
 
     if stop_at == "subtitle":
         sm.state.update_task(
@@ -330,6 +335,5 @@ if __name__ == "__main__":
         video_subject="金钱的作用",
         voice_name="zh-CN-XiaoyiNeural-Female",
         voice_rate=1.0,
-
     )
     start(task_id, params, stop_at="video")

app/services/utils/video_effects.py

@@ -0,0 +1,21 @@
+from moviepy import Clip, vfx
+
+
+# FadeIn
+def fadein_transition(clip: Clip, t: float) -> Clip:
+    return clip.with_effects([vfx.FadeIn(t)])
+
+
+# FadeOut
+def fadeout_transition(clip: Clip, t: float) -> Clip:
+    return clip.with_effects([vfx.FadeOut(t)])
+
+
+# SlideIn
+def slidein_transition(clip: Clip, t: float, side: str) -> Clip:
+    return clip.with_effects([vfx.SlideIn(t, side)])
+
+
+# SlideOut
+def slideout_transition(clip: Clip, t: float, side: str) -> Clip:
+    return clip.with_effects([vfx.SlideOut(t, side)])

app/services/video.py

@@ -1,14 +1,32 @@
 import glob
+import os
 import random
 from typing import List
 
 from loguru import logger
-from moviepy.editor import *
+from moviepy import (
+    AudioFileClip,
+    ColorClip,
+    CompositeAudioClip,
+    CompositeVideoClip,
+    ImageClip,
+    TextClip,
+    VideoFileClip,
+    afx,
+    concatenate_videoclips,
+)
 from moviepy.video.tools.subtitles import SubtitlesClip
 from PIL import ImageFont
 
 from app.models import const
-from app.models.schema import MaterialInfo, VideoAspect, VideoConcatMode, VideoParams
+from app.models.schema import (
+    MaterialInfo,
+    VideoAspect,
+    VideoConcatMode,
+    VideoParams,
+    VideoTransitionMode,
+)
+from app.services.utils import video_effects
 from app.utils import utils
 
 
@@ -34,6 +52,7 @@ def combine_videos(
     audio_file: str,
     video_aspect: VideoAspect = VideoAspect.portrait,
     video_concat_mode: VideoConcatMode = VideoConcatMode.random,
+    video_transition_mode: VideoTransitionMode = None,
     max_clip_duration: int = 5,
     threads: int = 2,
 ) -> str:
@@ -60,7 +79,7 @@ def combine_videos(
 
         while start_time < clip_duration:
             end_time = min(start_time + max_clip_duration, clip_duration)
-            split_clip = clip.subclip(start_time, end_time)
+            split_clip = clip.subclipped(start_time, end_time)
             raw_clips.append(split_clip)
             # logger.info(f"splitting from {start_time:.2f} to {end_time:.2f}, clip duration {clip_duration:.2f}, split_clip duration {split_clip.duration:.2f}")
             start_time = end_time
@@ -76,11 +95,11 @@ def combine_videos(
         for clip in raw_clips:
             # Check if clip is longer than the remaining audio
             if (audio_duration - video_duration) < clip.duration:
-                clip = clip.subclip(0, (audio_duration - video_duration))
+                clip = clip.subclipped(0, (audio_duration - video_duration))
             # Only shorten clips if the calculated clip length (req_dur) is shorter than the actual clip to prevent still image
             elif req_dur < clip.duration:
-                clip = clip.subclip(0, req_dur)
-            clip = clip.set_fps(30)
+                clip = clip.subclipped(0, req_dur)
+            clip = clip.with_fps(30)
 
             # Not all videos are same size, so we need to resize them
             clip_w, clip_h = clip.size
@@ -89,28 +108,28 @@ def combine_videos(
                 video_ratio = video_width / video_height
 
                 if clip_ratio == video_ratio:
-                    # 等比例缩放
-                    clip = clip.resize((video_width, video_height))
+                    # Resize proportionally
+                    clip = clip.resized((video_width, video_height))
                 else:
-                    # 等比缩放视频
+                    # Resize proportionally
                     if clip_ratio > video_ratio:
-                        # 按照目标宽度等比缩放
+                        # Resize proportionally based on the target width
                         scale_factor = video_width / clip_w
                     else:
-                        # 按照目标高度等比缩放
+                        # Resize proportionally based on the target height
                         scale_factor = video_height / clip_h
 
                     new_width = int(clip_w * scale_factor)
                     new_height = int(clip_h * scale_factor)
-                    clip_resized = clip.resize(newsize=(new_width, new_height))
+                    clip_resized = clip.resized(new_size=(new_width, new_height))
 
                     background = ColorClip(
                         size=(video_width, video_height), color=(0, 0, 0)
                     )
                     clip = CompositeVideoClip(
                         [
-                            background.set_duration(clip.duration),
-                            clip_resized.set_position("center"),
+                            background.with_duration(clip.duration),
+                            clip_resized.with_position("center"),
                         ]
                     )
 
@@ -118,14 +137,35 @@ def combine_videos(
                     f"resizing video to {video_width} x {video_height}, clip size: {clip_w} x {clip_h}"
                 )
 
+            shuffle_side = random.choice(["left", "right", "top", "bottom"])
+            if video_transition_mode.value == VideoTransitionMode.none.value:
+                clip = clip
+            elif video_transition_mode.value == VideoTransitionMode.fade_in.value:
+                clip = video_effects.fadein_transition(clip, 1)
+            elif video_transition_mode.value == VideoTransitionMode.fade_out.value:
+                clip = video_effects.fadeout_transition(clip, 1)
+            elif video_transition_mode.value == VideoTransitionMode.slide_in.value:
+                clip = video_effects.slidein_transition(clip, 1, shuffle_side)
+            elif video_transition_mode.value == VideoTransitionMode.slide_out.value:
+                clip = video_effects.slideout_transition(clip, 1, shuffle_side)
+            elif video_transition_mode.value == VideoTransitionMode.shuffle.value:
+                transition_funcs = [
+                    lambda c: video_effects.fadein_transition(c, 1),
+                    lambda c: video_effects.fadeout_transition(c, 1),
+                    lambda c: video_effects.slidein_transition(c, 1, shuffle_side),
+                    lambda c: video_effects.slideout_transition(c, 1, shuffle_side),
+                ]
+                shuffle_transition = random.choice(transition_funcs)
+                clip = shuffle_transition(clip)
+
             if clip.duration > max_clip_duration:
-                clip = clip.subclip(0, max_clip_duration)
+                clip = clip.subclipped(0, max_clip_duration)
 
             clips.append(clip)
             video_duration += clip.duration
-
+    clips = [CompositeVideoClip([clip]) for clip in clips]
     video_clip = concatenate_videoclips(clips)
-    video_clip = video_clip.set_fps(30)
+    video_clip = video_clip.with_fps(30)
     logger.info("writing")
     # https://github.com/harry0703/MoneyPrinterTurbo/issues/111#issuecomment-2032354030
     video_clip.write_videofile(
@@ -142,7 +182,7 @@ def combine_videos(
 
 
 def wrap_text(text, max_width, font="Arial", fontsize=60):
-    # 创建字体对象
+    # Create ImageFont
     font = ImageFont.truetype(font, fontsize)
 
     def get_text_size(inner_text):
@@ -231,46 +271,65 @@ def generate_video(
         logger.info(f"using font: {font_path}")
 
     def create_text_clip(subtitle_item):
+        params.font_size = int(params.font_size)
+        params.stroke_width = int(params.stroke_width)
         phrase = subtitle_item[1]
         max_width = video_width * 0.9
         wrapped_txt, txt_height = wrap_text(
             phrase, max_width=max_width, font=font_path, fontsize=params.font_size
         )
+        interline = int(params.font_size * 0.25)
+        size=(int(max_width), int(txt_height + params.font_size * 0.25 + (interline * (wrapped_txt.count("\n") + 1))))
+
         _clip = TextClip(
-            wrapped_txt,
+            text=wrapped_txt,
             font=font_path,
-            fontsize=params.font_size,
+            font_size=params.font_size,
             color=params.text_fore_color,
             bg_color=params.text_background_color,
             stroke_color=params.stroke_color,
             stroke_width=params.stroke_width,
-            print_cmd=False,
+            # interline=interline,
+            # size=size,
         )
         duration = subtitle_item[0][1] - subtitle_item[0][0]
-        _clip = _clip.set_start(subtitle_item[0][0])
-        _clip = _clip.set_end(subtitle_item[0][1])
-        _clip = _clip.set_duration(duration)
+        _clip = _clip.with_start(subtitle_item[0][0])
+        _clip = _clip.with_end(subtitle_item[0][1])
+        _clip = _clip.with_duration(duration)
         if params.subtitle_position == "bottom":
-            _clip = _clip.set_position(("center", video_height * 0.95 - _clip.h))
+            _clip = _clip.with_position(("center", video_height * 0.95 - _clip.h))
         elif params.subtitle_position == "top":
-            _clip = _clip.set_position(("center", video_height * 0.05))
+            _clip = _clip.with_position(("center", video_height * 0.05))
         elif params.subtitle_position == "custom":
-            # 确保字幕完全在屏幕内
-            margin = 10  # 额外的边距，单位为像素
+            # Ensure the subtitle is fully within the screen bounds
+            margin = 10  # Additional margin, in pixels
             max_y = video_height - _clip.h - margin
             min_y = margin
             custom_y = (video_height - _clip.h) * (params.custom_position / 100)
-            custom_y = max(min_y, min(custom_y, max_y))  # 限制 y 值在有效范围内
-            _clip = _clip.set_position(("center", custom_y))
+            custom_y = max(
+                min_y, min(custom_y, max_y)
+            )  # Constrain the y value within the valid range
+            _clip = _clip.with_position(("center", custom_y))
         else:  # center
-            _clip = _clip.set_position(("center", "center"))
+            _clip = _clip.with_position(("center", "center"))
         return _clip
 
     video_clip = VideoFileClip(video_path)
-    audio_clip = AudioFileClip(audio_path).volumex(params.voice_volume)
+    audio_clip = AudioFileClip(audio_path).with_effects(
+        [afx.MultiplyVolume(params.voice_volume)]
+    )
+
+    def make_textclip(text):
+        return TextClip(
+            text=text,
+            font=font_path,
+            font_size=params.font_size,
+        )
 
     if subtitle_path and os.path.exists(subtitle_path):
-        sub = SubtitlesClip(subtitles=subtitle_path, encoding="utf-8")
+        sub = SubtitlesClip(
+            subtitles=subtitle_path, encoding="utf-8", make_textclip=make_textclip
+        )
         text_clips = []
         for item in sub.subtitles:
             clip = create_text_clip(subtitle_item=item)
@@ -280,15 +339,18 @@ def generate_video(
     bgm_file = get_bgm_file(bgm_type=params.bgm_type, bgm_file=params.bgm_file)
     if bgm_file:
         try:
-            bgm_clip = (
-                AudioFileClip(bgm_file).volumex(params.bgm_volume).audio_fadeout(3)
+            bgm_clip = AudioFileClip(bgm_file).with_effects(
+                [
+                    afx.MultiplyVolume(params.bgm_volume),
+                    afx.AudioFadeOut(3),
+                    afx.AudioLoop(duration=video_clip.duration),
+                ]
             )
-            bgm_clip = afx.audio_loop(bgm_clip, duration=video_clip.duration)
             audio_clip = CompositeAudioClip([audio_clip, bgm_clip])
         except Exception as e:
             logger.error(f"failed to add bgm: {str(e)}")
 
-    video_clip = video_clip.set_audio(audio_clip)
+    video_clip = video_clip.with_audio(audio_clip)
     video_clip.write_videofile(
         output_file,
         audio_codec="aac",
@@ -321,25 +383,26 @@ def preprocess_video(materials: List[MaterialInfo], clip_duration=4):
 
         if ext in const.FILE_TYPE_IMAGES:
             logger.info(f"processing image: {material.url}")
-            # 创建一个图片剪辑，并设置持续时间为3秒钟
+            # Create an image clip and set its duration to 3 seconds
             clip = (
                 ImageClip(material.url)
-                .set_duration(clip_duration)
-                .set_position("center")
+                .with_duration(clip_duration)
+                .with_position("center")
             )
-            # 使用resize方法来添加缩放效果。这里使用了lambda函数来使得缩放效果随时间变化。
-            # 假设我们想要从原始大小逐渐放大到120%的大小。
-            # t代表当前时间，clip.duration为视频总时长，这里是3秒。
-            # 注意：1 表示100%的大小，所以1.2表示120%的大小
-            zoom_clip = clip.resize(
+            # Apply a zoom effect using the resize method.
+            # A lambda function is used to make the zoom effect dynamic over time.
+            # The zoom effect starts from the original size and gradually scales up to 120%.
+            # t represents the current time, and clip.duration is the total duration of the clip (3 seconds).
+            # Note: 1 represents 100% size, so 1.2 represents 120% size.
+            zoom_clip = clip.resized(
                 lambda t: 1 + (clip_duration * 0.03) * (t / clip.duration)
             )
 
-            # 如果需要，可以创建一个包含缩放剪辑的复合视频剪辑
-            # （这在您想要在视频中添加其他元素时非常有用）
+            # Optionally, create a composite video clip containing the zoomed clip.
+            # This is useful when you want to add other elements to the video.
             final_clip = CompositeVideoClip([zoom_clip])
 
-            # 输出视频
+            # Output the video to a file.
             video_file = f"{material.url}.mp4"
             final_clip.write_videofile(video_file, fps=30, logger=None)
             final_clip.close()

app/services/voice.py

@@ -2,11 +2,13 @@ import asyncio
 import os
 import re
 from datetime import datetime
+from typing import Union
 from xml.sax.saxutils import unescape
+
+import edge_tts
+from edge_tts import SubMaker, submaker
 from edge_tts.submaker import mktimestamp
 from loguru import logger
-from edge_tts import submaker, SubMaker
-import edge_tts
 from moviepy.video.tools import subtitles
 
 from app.config import config
@@ -14,8 +16,6 @@ from app.utils import utils
 
 
 def get_all_azure_voices(filter_locals=None) -> list[str]:
-    if filter_locals is None:
-        filter_locals = ["zh-CN", "en-US", "zh-HK", "zh-TW", "vi-VN"]
     voices_str = """
 Name: af-ZA-AdriNeural
 Gender: Female
@@ -302,21 +302,33 @@ Gender: Female
 Name: en-US-AnaNeural
 Gender: Female
 
+Name: en-US-AndrewMultilingualNeural
+Gender: Male
+
 Name: en-US-AndrewNeural
 Gender: Male
 
 Name: en-US-AriaNeural
 Gender: Female
 
+Name: en-US-AvaMultilingualNeural
+Gender: Female
+
 Name: en-US-AvaNeural
 Gender: Female
 
+Name: en-US-BrianMultilingualNeural
+Gender: Male
+
 Name: en-US-BrianNeural
 Gender: Male
 
 Name: en-US-ChristopherNeural
 Gender: Male
 
+Name: en-US-EmmaMultilingualNeural
+Gender: Female
+
 Name: en-US-EmmaNeural
 Gender: Female
 
@@ -602,12 +614,24 @@ Gender: Male
 Name: it-IT-ElsaNeural
 Gender: Female
 
-Name: it-IT-GiuseppeNeural
+Name: it-IT-GiuseppeMultilingualNeural
 Gender: Male
 
 Name: it-IT-IsabellaNeural
 Gender: Female
 
+Name: iu-Cans-CA-SiqiniqNeural
+Gender: Female
+
+Name: iu-Cans-CA-TaqqiqNeural
+Gender: Male
+
+Name: iu-Latn-CA-SiqiniqNeural
+Gender: Female
+
+Name: iu-Latn-CA-TaqqiqNeural
+Gender: Male
+
 Name: ja-JP-KeitaNeural
 Gender: Male
 
@@ -644,7 +668,7 @@ Gender: Male
 Name: kn-IN-SapnaNeural
 Gender: Female
 
-Name: ko-KR-HyunsuNeural
+Name: ko-KR-HyunsuMultilingualNeural
 Gender: Male
 
 Name: ko-KR-InJoonNeural
@@ -758,7 +782,7 @@ Gender: Male
 Name: pt-BR-FranciscaNeural
 Gender: Female
 
-Name: pt-BR-ThalitaNeural
+Name: pt-BR-ThalitaMultilingualNeural
 Gender: Female
 
 Name: pt-PT-DuarteNeural
@@ -988,27 +1012,20 @@ Name: zh-CN-XiaoxiaoMultilingualNeural-V2
 Gender: Female
     """.strip()
     voices = []
-    name = ""
-    for line in voices_str.split("\n"):
-        line = line.strip()
-        if not line:
-            continue
-        if line.startswith("Name: "):
-            name = line[6:].strip()
-        if line.startswith("Gender: "):
-            gender = line[8:].strip()
-            if name and gender:
-                # voices.append({
-                #     "name": name,
-                #     "gender": gender,
-                # })
-                if filter_locals:
-                    for filter_local in filter_locals:
-                        if name.lower().startswith(filter_local.lower()):
-                            voices.append(f"{name}-{gender}")
-                else:
-                    voices.append(f"{name}-{gender}")
-                name = ""
+    # 定义正则表达式模式，用于匹配 Name 和 Gender 行
+    pattern = re.compile(r"Name:\s*(.+)\s*Gender:\s*(.+)\s*", re.MULTILINE)
+    # 使用正则表达式查找所有匹配项
+    matches = pattern.findall(voices_str)
+
+    for name, gender in matches:
+        # 应用过滤条件
+        if filter_locals and any(
+            name.lower().startswith(fl.lower()) for fl in filter_locals
+        ):
+            voices.append(f"{name}-{gender}")
+        elif not filter_locals:
+            voices.append(f"{name}-{gender}")
+
     voices.sort()
     return voices
 
@@ -1030,7 +1047,7 @@ def is_azure_v2_voice(voice_name: str):
 
 def tts(
     text: str, voice_name: str, voice_rate: float, voice_file: str
-) -> [SubMaker, None]:
+) -> Union[SubMaker, None]:
     if is_azure_v2_voice(voice_name):
         return azure_tts_v2(text, voice_name, voice_file)
     return azure_tts_v1(text, voice_name, voice_rate, voice_file)
@@ -1048,7 +1065,7 @@ def convert_rate_to_percent(rate: float) -> str:
 
 def azure_tts_v1(
     text: str, voice_name: str, voice_rate: float, voice_file: str
-) -> [SubMaker, None]:
+) -> Union[SubMaker, None]:
     voice_name = parse_voice_name(voice_name)
     text = text.strip()
     rate_str = convert_rate_to_percent(voice_rate)
@@ -1071,7 +1088,7 @@ def azure_tts_v1(
 
             sub_maker = asyncio.run(_do())
             if not sub_maker or not sub_maker.subs:
-                logger.warning(f"failed, sub_maker is None or sub_maker.subs is None")
+                logger.warning("failed, sub_maker is None or sub_maker.subs is None")
                 continue
 
             logger.info(f"completed, output file: {voice_file}")
@@ -1081,7 +1098,7 @@ def azure_tts_v1(
     return None
 
 
-def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None]:
+def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> Union[SubMaker, None]:
     voice_name = is_azure_v2_voice(voice_name)
     if not voice_name:
         logger.error(f"invalid voice name: {voice_name}")

app/utils/utils.py

@@ -1,12 +1,12 @@
+import json
 import locale
 import os
-import platform
 import threading
 from typing import Any
-from loguru import logger
-import json
 from uuid import uuid4
+
 import urllib3
+from loguru import logger
 
 from app.models import const
 
@@ -26,33 +26,33 @@ def get_response(status: int, data: Any = None, message: str = ""):
 
 def to_json(obj):
     try:
-        # 定义一个辅助函数来处理不同类型的对象
+        # Define a helper function to handle different types of objects
         def serialize(o):
-            # 如果对象是可序列化类型，直接返回
+            # If the object is a serializable type, return it directly
             if isinstance(o, (int, float, bool, str)) or o is None:
                 return o
-            # 如果对象是二进制数据，转换为base64编码的字符串
+            # If the object is binary data, convert it to a base64-encoded string
             elif isinstance(o, bytes):
                 return "*** binary data ***"
-            # 如果对象是字典，递归处理每个键值对
+            # If the object is a dictionary, recursively process each key-value pair
             elif isinstance(o, dict):
                 return {k: serialize(v) for k, v in o.items()}
-            # 如果对象是列表或元组，递归处理每个元素
+            # If the object is a list or tuple, recursively process each element
             elif isinstance(o, (list, tuple)):
                 return [serialize(item) for item in o]
-            # 如果对象是自定义类型，尝试返回其__dict__属性
+            # If the object is a custom type, attempt to return its __dict__ attribute
             elif hasattr(o, "__dict__"):
                 return serialize(o.__dict__)
-            # 其他情况返回None（或者可以选择抛出异常）
+            # Return None for other cases (or choose to raise an exception)
             else:
                 return None
 
-        # 使用serialize函数处理输入对象
+        # Use the serialize function to process the input object
         serialized_obj = serialize(obj)
 
-        # 序列化处理后的对象为JSON字符串
+        # Serialize the processed object into a JSON string
         return json.dumps(serialized_obj, ensure_ascii=False, indent=4)
-    except Exception as e:
+    except Exception:
         return None
 
 
@@ -94,7 +94,7 @@ def task_dir(sub_dir: str = ""):
 
 
 def font_dir(sub_dir: str = ""):
-    d = resource_dir(f"fonts")
+    d = resource_dir("fonts")
     if sub_dir:
         d = os.path.join(d, sub_dir)
     if not os.path.exists(d):
@@ -103,7 +103,7 @@ def font_dir(sub_dir: str = ""):
 
 
 def song_dir(sub_dir: str = ""):
-    d = resource_dir(f"songs")
+    d = resource_dir("songs")
     if sub_dir:
         d = os.path.join(d, sub_dir)
     if not os.path.exists(d):
@@ -112,7 +112,7 @@ def song_dir(sub_dir: str = ""):
 
 
 def public_dir(sub_dir: str = ""):
-    d = resource_dir(f"public")
+    d = resource_dir("public")
     if sub_dir:
         d = os.path.join(d, sub_dir)
     if not os.path.exists(d):
@@ -182,7 +182,7 @@ def split_string_by_punctuations(s):
             next_char = s[i + 1]
 
         if char == "." and previous_char.isdigit() and next_char.isdigit():
-            # 取现1万，按2.5%收取手续费, 2.5 中的 . 不能作为换行标记
+            # # In the case of "withdraw 10,000, charged at 2.5% fee", the dot in "2.5" should not be treated as a line break marker
             txt += char
             continue
 
@@ -210,7 +210,7 @@ def get_system_locale():
         # en_US, en_GB return en
         language_code = loc[0].split("_")[0]
         return language_code
-    except Exception as e:
+    except Exception:
         return "en"
 
 

config.example.toml

@@ -1,194 +1,200 @@
 [app]
+video_source = "pexels" # "pexels" or "pixabay"
 
-    video_source = "pexels"  # "pexels" or "pixabay"
-    # Pexels API Key
-    # Register at https://www.pexels.com/api/ to get your API key.
-    # You can use multiple keys to avoid rate limits.
-    # For example: pexels_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
-    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
-    pexels_api_keys = []
+# 是否隐藏配置面板
+hide_config = false
 
-    # Pixabay API Key
-    # Register at https://pixabay.com/api/docs/ to get your API key.
-    # You can use multiple keys to avoid rate limits.
-    # For example: pixabay_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
-    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
-    pixabay_api_keys = []
+# Pexels API Key
+# Register at https://www.pexels.com/api/ to get your API key.
+# You can use multiple keys to avoid rate limits.
+# For example: pexels_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
+# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
+pexels_api_keys = []
 
-    # 如果你没有 OPENAI API Key，可以使用 g4f 代替，或者使用国内的 Moonshot API
-    # If you don't have an OPENAI API Key, you can use g4f instead
+# Pixabay API Key
+# Register at https://pixabay.com/api/docs/ to get your API key.
+# You can use multiple keys to avoid rate limits.
+# For example: pixabay_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
+# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
+pixabay_api_keys = []
 
-    # 支持的提供商 (Supported providers):
-    #   openai
-    #   moonshot (月之暗面)
-    #   oneapi
-    #   g4f
-    #   azure
-    #   qwen (通义千问)
-    #   gemini
-    llm_provider="openai"
+# 支持的提供商 (Supported providers):
+#   openai
+#   moonshot    (月之暗面)
+#   azure
+#   qwen        (通义千问)
+#   deepseek
+#   gemini
+#   ollama
+#   g4f
+#   oneapi
+#   cloudflare
+#   ernie       (文心一言)
+llm_provider = "openai"
 
-    ########## Ollama Settings
-    # No need to set it unless you want to use your own proxy
-    ollama_base_url = ""
-    # Check your available models at https://ollama.com/library
-    ollama_model_name = ""
+########## Ollama Settings
+# No need to set it unless you want to use your own proxy
+ollama_base_url = ""
+# Check your available models at https://ollama.com/library
+ollama_model_name = ""
 
-    ########## OpenAI API Key
-    # Get your API key at https://platform.openai.com/api-keys
-    openai_api_key = ""
-    # No need to set it unless you want to use your own proxy
-    openai_base_url = ""
-    # Check your available models at https://platform.openai.com/account/limits
-    openai_model_name = "gpt-4-turbo"
+########## OpenAI API Key
+# Get your API key at https://platform.openai.com/api-keys
+openai_api_key = ""
+# No need to set it unless you want to use your own proxy
+openai_base_url = ""
+# Check your available models at https://platform.openai.com/account/limits
+openai_model_name = "gpt-4o-mini"
 
-    ########## Moonshot API Key
-    # Visit https://platform.moonshot.cn/console/api-keys to get your API key.
-    moonshot_api_key=""
-    moonshot_base_url = "https://api.moonshot.cn/v1"
-    moonshot_model_name = "moonshot-v1-8k"
+########## Moonshot API Key
+# Visit https://platform.moonshot.cn/console/api-keys to get your API key.
+moonshot_api_key = ""
+moonshot_base_url = "https://api.moonshot.cn/v1"
+moonshot_model_name = "moonshot-v1-8k"
 
-    ########## OneAPI API Key
-    # Visit https://github.com/songquanpeng/one-api to get your API key
-    oneapi_api_key=""
-    oneapi_base_url=""
-    oneapi_model_name=""
+########## OneAPI API Key
+# Visit https://github.com/songquanpeng/one-api to get your API key
+oneapi_api_key = ""
+oneapi_base_url = ""
+oneapi_model_name = ""
 
-    ########## G4F
-    # Visit https://github.com/xtekky/gpt4free to get more details
-    # Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py
-    g4f_model_name = "gpt-3.5-turbo"
+########## G4F
+# Visit https://github.com/xtekky/gpt4free to get more details
+# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py
+g4f_model_name = "gpt-3.5-turbo"
 
-    ########## Azure API Key
-    # Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details
-    # API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference
-    azure_api_key = ""
-    azure_base_url=""
-    azure_model_name="gpt-35-turbo" # replace with your model deployment name
-    azure_api_version = "2024-02-15-preview"
+########## Azure API Key
+# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details
+# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference
+azure_api_key = ""
+azure_base_url = ""
+azure_model_name = "gpt-35-turbo"        # replace with your model deployment name
+azure_api_version = "2024-02-15-preview"
 
-    ########## Gemini API Key
-    gemini_api_key=""
-    gemini_model_name = "gemini-1.0-pro"
+########## Gemini API Key
+gemini_api_key = ""
+gemini_model_name = "gemini-1.0-pro"
 
-    ########## Qwen API Key
-    # Visit https://dashscope.console.aliyun.com/apiKey to get your API key
-    # Visit below links to get more details
-    # https://tongyi.aliyun.com/qianwen/
-    # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction
-    qwen_api_key = ""
-    qwen_model_name = "qwen-max"
+########## Qwen API Key
+# Visit https://dashscope.console.aliyun.com/apiKey to get your API key
+# Visit below links to get more details
+# https://tongyi.aliyun.com/qianwen/
+# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction
+qwen_api_key = ""
+qwen_model_name = "qwen-max"
 
 
-    ########## DeepSeek API Key
-    # Visit https://platform.deepseek.com/api_keys to get your API key
-    deepseek_api_key = ""
-    deepseek_base_url = "https://api.deepseek.com"
-    deepseek_model_name = "deepseek-chat"
+########## DeepSeek API Key
+# Visit https://platform.deepseek.com/api_keys to get your API key
+deepseek_api_key = ""
+deepseek_base_url = "https://api.deepseek.com"
+deepseek_model_name = "deepseek-chat"
 
-    # Subtitle Provider, "edge" or "whisper"
-    # If empty, the subtitle will not be generated
-    subtitle_provider = "edge"
+# Subtitle Provider, "edge" or "whisper"
+# If empty, the subtitle will not be generated
+subtitle_provider = "edge"
 
-    #
-    # ImageMagick
-    #
-    # Once you have installed it, ImageMagick will be automatically detected, except on Windows!
-    # On Windows, for example "C:\Program Files (x86)\ImageMagick-7.1.1-Q16-HDRI\magick.exe"
-    # Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe
+#
+# ImageMagick
+#
+# Once you have installed it, ImageMagick will be automatically detected, except on Windows!
+# On Windows, for example "C:\Program Files (x86)\ImageMagick-7.1.1-Q16-HDRI\magick.exe"
+# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe
 
-    # imagemagick_path = "C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16\\magick.exe"
+# imagemagick_path = "C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16\\magick.exe"
 
 
-    #
-    # FFMPEG
-    #
-    # 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。
-    # 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：
-    #   RuntimeError: No ffmpeg exe could be found.
-    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
-    # 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/
+#
+# FFMPEG
+#
+# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。
+# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：
+#   RuntimeError: No ffmpeg exe could be found.
+#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
+# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/
 
-    # Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.
-    # However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:
-    #   RuntimeError: No ffmpeg exe could be found.
-    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
-    # In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/
+# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.
+# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:
+#   RuntimeError: No ffmpeg exe could be found.
+#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
+# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/
 
-    # ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
-    #########################################################################################
+# ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
+#########################################################################################
 
-    # 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口
-    # 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
-    # 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名
-    # 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
-    # endpoint="https://xxxx.com"
+# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口
+# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
+# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名
+# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
+# endpoint="https://xxxx.com"
 
-    # When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.
-    # For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
-    # If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.
-    # For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
-    # endpoint="https://xxxx.com"
-    endpoint=""
+# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.
+# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
+# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.
+# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
+# endpoint="https://xxxx.com"
+endpoint = ""
 
 
-    # Video material storage location
-    # material_directory = ""                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project
-    # material_directory = "/user/harry/videos"  # Indicates that video materials will be downloaded to a specified folder
-    # material_directory = "task"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials
+# Video material storage location
+# material_directory = ""                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project
+# material_directory = "/user/harry/videos"  # Indicates that video materials will be downloaded to a specified folder
+# material_directory = "task"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials
 
-    # 视频素材存放位置
-    # material_directory = ""                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos
-    # material_directory = "/user/harry/videos"  #表示将视频素材下载到指定的文件夹中
-    # material_directory = "task"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材
+# 视频素材存放位置
+# material_directory = ""                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos
+# material_directory = "/user/harry/videos"  #表示将视频素材下载到指定的文件夹中
+# material_directory = "task"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材
 
-    material_directory = ""
+material_directory = ""
 
-    # Used for state management of the task
-    enable_redis = false
-    redis_host = "localhost"
-    redis_port = 6379
-    redis_db = 0
-    redis_password = ""
+# Used for state management of the task
+enable_redis = false
+redis_host = "localhost"
+redis_port = 6379
+redis_db = 0
+redis_password = ""
 
-    # 文生视频时的最大并发任务数
-    max_concurrent_tasks = 5
-
-    # webui界面是否显示配置项
-    # webui hide baisc config panel
-    hide_config = false
+# 文生视频时的最大并发任务数
+max_concurrent_tasks = 5
 
 
 [whisper]
-    # Only effective when subtitle_provider is "whisper"
+# Only effective when subtitle_provider is "whisper"
 
-    # Run on GPU with FP16
-    # model = WhisperModel(model_size, device="cuda", compute_type="float16")
+# Run on GPU with FP16
+# model = WhisperModel(model_size, device="cuda", compute_type="float16")
 
-    # Run on GPU with INT8
-    # model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
+# Run on GPU with INT8
+# model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
 
-    # Run on CPU with INT8
-    # model = WhisperModel(model_size, device="cpu", compute_type="int8")
+# Run on CPU with INT8
+# model = WhisperModel(model_size, device="cpu", compute_type="int8")
 
-    # recommended model_size: "large-v3"
-    model_size="large-v3"
-    # if you want to use GPU, set device="cuda"
-    device="CPU"
-    compute_type="int8"
+# recommended model_size: "large-v3"
+model_size = "large-v3"
+# if you want to use GPU, set device="cuda"
+device = "CPU"
+compute_type = "int8"
 
 
 [proxy]
-    ### Use a proxy to access the Pexels API
-    ### Format: "http://<username>:<password>@<proxy>:<port>"
-    ### Example: "http://user:pass@proxy:1234"
-    ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies
+### Use a proxy to access the Pexels API
+### Format: "http://<username>:<password>@<proxy>:<port>"
+### Example: "http://user:pass@proxy:1234"
+### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies
 
-    # http = "http://10.10.1.10:3128"
-    # https = "http://10.10.1.10:1080"
+# http = "http://10.10.1.10:3128"
+# https = "http://10.10.1.10:1080"
 
 [azure]
-    # Azure Speech API Key
-    # Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices
-    speech_key=""
-    speech_region=""
+# Azure Speech API Key
+# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices
+speech_key = ""
+speech_region = ""
+
+[ui]
+# UI related settings
+# 是否隐藏日志信息
+# Whether to hide logs in the UI
+hide_log = false

docker-compose.yml

@@ -6,7 +6,7 @@ services:
     build:
       context: .
       dockerfile: Dockerfile
-    container_name: "webui"
+    container_name: "moneyprinterturbo-webui"
     ports:
       - "8501:8501"
     command: [ "streamlit", "run", "./webui/Main.py","--browser.serverAddress=127.0.0.1","--server.enableCORS=True","--browser.gatherUsageStats=False" ]
@@ -16,7 +16,7 @@ services:
     build:
       context: .
       dockerfile: Dockerfile
-    container_name: "api"
+    container_name: "moneyprinterturbo-api"
     ports:
       - "8080:8080"
     command: [ "python3", "main.py" ]

pyproject.toml

@@ -0,0 +1,32 @@
+[project]
+name = "MoneyPrinterTurbo"
+version = "1.2.3"
+description = "Default template for PDM package"
+authors = [
+    {name = "yyhhyyyyyy", email = "yyhhyyyyyy8@gmail.com"},
+]
+dependencies = [
+    "moviepy==2.1.1",
+    "streamlit==1.40.2",
+    "edge-tts==6.1.19",
+    "fastapi==0.115.6",
+    "uvicorn==0.32.1",
+    "openai==1.56.1",
+    "faster-whisper==1.1.0",
+    "loguru==0.7.2",
+    "google-generativeai==0.8.3",
+    "dashscope==1.20.14",
+    "g4f==0.3.8.1",
+    "azure-cognitiveservices-speech==1.41.1",
+    "redis==5.2.0",
+    "python-multipart==0.0.19",
+    "streamlit-authenticator==0.4.1",
+    "pyyaml",
+]
+requires-python = "==3.11.*"
+readme = "README.md"
+license = {text = "MIT"}
+
+
+[tool.pdm]
+distribution = false

requirements.txt

@@ -1,26 +1,15 @@
-requests~=2.31.0
-moviepy~=2.0.0.dev2
-openai~=1.13.3
-faster-whisper~=1.0.1
-edge_tts~=6.1.10
-uvicorn~=0.27.1
-fastapi~=0.110.0
-tomli~=2.0.1
-streamlit~=1.33.0
-loguru~=0.7.2
-aiohttp~=3.9.3
-urllib3~=2.2.1
-pillow~=10.3.0
-pydantic~=2.6.3
-g4f~=0.3.0.4
-dashscope~=1.15.0
-google.generativeai~=0.4.1
-python-multipart~=0.0.9
-redis==5.0.3
-# if you use pillow~=10.3.0, you will get "PIL.Image' has no attribute 'ANTIALIAS'" error when resize video
-# please install opencv-python to fix "PIL.Image' has no attribute 'ANTIALIAS'" error
-opencv-python~=4.9.0.80
-# for azure speech
-# https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/9-more-realistic-ai-voices-for-conversations-now-generally/ba-p/4099471
-azure-cognitiveservices-speech~=1.37.0
-git-changelog~=2.5.2
+moviepy==2.1.2
+streamlit==1.45.0
+edge_tts==6.1.19
+fastapi==0.115.6
+uvicorn==0.32.1
+openai==1.56.1
+faster-whisper==1.1.0
+loguru==0.7.3
+google.generativeai==0.8.3
+dashscope==1.20.14
+g4f==0.5.2.2
+azure-cognitiveservices-speech==1.41.1
+redis==5.2.0
+python-multipart==0.0.19
+pyyaml

webui/Main.py

@@ -1,5 +1,10 @@
 import os
+import platform
 import sys
+from uuid import uuid4
+
+import streamlit as st
+from loguru import logger
 
 # Add the root directory of the project to the system path to allow importing modules from the project
 root_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
@@ -9,12 +14,17 @@ if root_dir not in sys.path:
     print(sys.path)
     print("")
 
-import os
-import platform
-from uuid import uuid4
-
-import streamlit as st
-from loguru import logger
+from app.config import config
+from app.models.schema import (
+    MaterialInfo,
+    VideoAspect,
+    VideoConcatMode,
+    VideoParams,
+    VideoTransitionMode,
+)
+from app.services import llm, voice
+from app.services import task as tm
+from app.utils import utils
 
 st.set_page_config(
     page_title="MoneyPrinterTurbo",
@@ -30,18 +40,61 @@ st.set_page_config(
     },
 )
 
-from app.config import config
-from app.models.const import FILE_TYPE_IMAGES, FILE_TYPE_VIDEOS
-from app.models.schema import MaterialInfo, VideoAspect, VideoConcatMode, VideoParams
-from app.services import llm, voice
-from app.services import task as tm
-from app.utils import utils
 
-hide_streamlit_style = """
-<style>#root > div:nth-child(1) > div > div > div > div > section > div {padding-top: 0rem;}</style>
+streamlit_style = """
+<style>
+h1 {
+    padding-top: 0 !important; 
+}
+</style>
 """
-st.markdown(hide_streamlit_style, unsafe_allow_html=True)
-st.title(f"MoneyPrinterTurbo v{config.project_version}")
+st.markdown(streamlit_style, unsafe_allow_html=True)
+
+# 定义资源目录
+font_dir = os.path.join(root_dir, "resource", "fonts")
+song_dir = os.path.join(root_dir, "resource", "songs")
+i18n_dir = os.path.join(root_dir, "webui", "i18n")
+config_file = os.path.join(root_dir, "webui", ".streamlit", "webui.toml")
+system_locale = utils.get_system_locale()
+
+
+if "video_subject" not in st.session_state:
+    st.session_state["video_subject"] = ""
+if "video_script" not in st.session_state:
+    st.session_state["video_script"] = ""
+if "video_terms" not in st.session_state:
+    st.session_state["video_terms"] = ""
+if "ui_language" not in st.session_state:
+    st.session_state["ui_language"] = config.ui.get("language", system_locale)
+
+# 加载语言文件
+locales = utils.load_locales(i18n_dir)
+
+# 创建一个顶部栏，包含标题和语言选择
+title_col, lang_col = st.columns([3, 1])
+
+with title_col:
+    st.title(f"MoneyPrinterTurbo v{config.project_version}")
+
+with lang_col:
+    display_languages = []
+    selected_index = 0
+    for i, code in enumerate(locales.keys()):
+        display_languages.append(f"{code} - {locales[code].get('Language')}")
+        if code == st.session_state.get("ui_language", ""):
+            selected_index = i
+
+    selected_language = st.selectbox(
+        "Language / 语言",
+        options=display_languages,
+        index=selected_index,
+        key="top_language_selector",
+        label_visibility="collapsed",
+    )
+    if selected_language:
+        code = selected_language.split(" - ")[0].strip()
+        st.session_state["ui_language"] = code
+        config.ui["language"] = code
 
 support_locales = [
     "zh-CN",
@@ -54,23 +107,6 @@ support_locales = [
     "th-TH",
 ]
 
-font_dir = os.path.join(root_dir, "resource", "fonts")
-song_dir = os.path.join(root_dir, "resource", "songs")
-i18n_dir = os.path.join(root_dir, "webui", "i18n")
-config_file = os.path.join(root_dir, "webui", ".streamlit", "webui.toml")
-system_locale = utils.get_system_locale()
-# print(f"******** system locale: {system_locale} ********")
-
-if "video_subject" not in st.session_state:
-    st.session_state["video_subject"] = ""
-if "video_script" not in st.session_state:
-    st.session_state["video_script"] = ""
-if "video_terms" not in st.session_state:
-    st.session_state["video_terms"] = ""
-if "ui_language" not in st.session_state:
-    st.session_state["ui_language"] = config.ui.get("language", system_locale)
-
-
 def get_all_fonts():
     fonts = []
     for root, dirs, files in os.walk(font_dir):
@@ -161,48 +197,32 @@ def tr(key):
     loc = locales.get(st.session_state["ui_language"], {})
     return loc.get("Translation", {}).get(key, key)
 
-
-st.write(tr("Get Help"))
-
-llm_provider = config.app.get("llm_provider", "").lower()
-
+ # 创建基础设置折叠框
 if not config.app.get("hide_config", False):
     with st.expander(tr("Basic Settings"), expanded=False):
         config_panels = st.columns(3)
         left_config_panel = config_panels[0]
         middle_config_panel = config_panels[1]
         right_config_panel = config_panels[2]
-        with left_config_panel:
-            display_languages = []
-            selected_index = 0
-            for i, code in enumerate(locales.keys()):
-                display_languages.append(f"{code} - {locales[code].get('Language')}")
-                if code == st.session_state["ui_language"]:
-                    selected_index = i
 
-            selected_language = st.selectbox(
-                tr("Language"), options=display_languages, index=selected_index
+        # 左侧面板 - 日志设置
+        with left_config_panel:
+            # 是否隐藏配置面板
+            hide_config = st.checkbox(
+                tr("Hide Basic Settings"), value=config.app.get("hide_config", False)
             )
-            if selected_language:
-                code = selected_language.split(" - ")[0].strip()
-                st.session_state["ui_language"] = code
-                config.ui["language"] = code
+            config.app["hide_config"] = hide_config
 
             # 是否禁用日志显示
             hide_log = st.checkbox(
-                tr("Hide Log"), value=config.app.get("hide_log", False)
+                tr("Hide Log"), value=config.ui.get("hide_log", False)
             )
             config.ui["hide_log"] = hide_log
 
+        # 中间面板 - LLM 设置
+        
         with middle_config_panel:
-            #   openai
-            #   moonshot (月之暗面)
-            #   oneapi
-            #   g4f
-            #   azure
-            #   qwen (通义千问)
-            #   gemini
-            #   ollama
+            st.write(tr("LLM Settings"))
             llm_providers = [
                 "OpenAI",
                 "Moonshot",
@@ -249,36 +269,36 @@ if not config.app.get("hide_config", False):
 
                 with llm_helper:
                     tips = """
-                           ##### Ollama配置说明
-                           - **API Key**: 随便填写，比如 123
-                           - **Base Url**: 一般为 http://localhost:11434/v1
-                              - 如果 `MoneyPrinterTurbo` 和 `Ollama` **不在同一台机器上**，需要填写 `Ollama` 机器的IP地址
-                              - 如果 `MoneyPrinterTurbo` 是 `Docker` 部署，建议填写 `http://host.docker.internal:11434/v1`
-                           - **Model Name**: 使用 `ollama list` 查看，比如 `qwen:7b`
-                           """
+                            ##### Ollama配置说明
+                            - **API Key**: 随便填写，比如 123
+                            - **Base Url**: 一般为 http://localhost:11434/v1
+                                - 如果 `MoneyPrinterTurbo` 和 `Ollama` **不在同一台机器上**，需要填写 `Ollama` 机器的IP地址
+                                - 如果 `MoneyPrinterTurbo` 是 `Docker` 部署，建议填写 `http://host.docker.internal:11434/v1`
+                            - **Model Name**: 使用 `ollama list` 查看，比如 `qwen:7b`
+                            """
 
             if llm_provider == "openai":
                 if not llm_model_name:
                     llm_model_name = "gpt-3.5-turbo"
                 with llm_helper:
                     tips = """
-                           ##### OpenAI 配置说明
-                           > 需要VPN开启全局流量模式
-                           - **API Key**: [点击到官网申请](https://platform.openai.com/api-keys)
-                           - **Base Url**: 可以留空
-                           - **Model Name**: 填写**有权限**的模型，[点击查看模型列表](https://platform.openai.com/settings/organization/limits)
-                           """
+                            ##### OpenAI 配置说明
+                            > 需要VPN开启全局流量模式
+                            - **API Key**: [点击到官网申请](https://platform.openai.com/api-keys)
+                            - **Base Url**: 可以留空
+                            - **Model Name**: 填写**有权限**的模型，[点击查看模型列表](https://platform.openai.com/settings/organization/limits)
+                            """
 
             if llm_provider == "moonshot":
                 if not llm_model_name:
                     llm_model_name = "moonshot-v1-8k"
                 with llm_helper:
                     tips = """
-                           ##### Moonshot 配置说明
-                           - **API Key**: [点击到官网申请](https://platform.moonshot.cn/console/api-keys)
-                           - **Base Url**: 固定为 https://api.moonshot.cn/v1
-                           - **Model Name**: 比如 moonshot-v1-8k，[点击查看模型列表](https://platform.moonshot.cn/docs/intro#%E6%A8%A1%E5%9E%8B%E5%88%97%E8%A1%A8)
-                           """
+                            ##### Moonshot 配置说明
+                            - **API Key**: [点击到官网申请](https://platform.moonshot.cn/console/api-keys)
+                            - **Base Url**: 固定为 https://api.moonshot.cn/v1
+                            - **Model Name**: 比如 moonshot-v1-8k，[点击查看模型列表](https://platform.moonshot.cn/docs/intro#%E6%A8%A1%E5%9E%8B%E5%88%97%E8%A1%A8)
+                            """
             if llm_provider == "oneapi":
                 if not llm_model_name:
                     llm_model_name = (
@@ -297,32 +317,32 @@ if not config.app.get("hide_config", False):
                     llm_model_name = "qwen-max"
                 with llm_helper:
                     tips = """
-                           ##### 通义千问Qwen 配置说明
-                           - **API Key**: [点击到官网申请](https://dashscope.console.aliyun.com/apiKey)
-                           - **Base Url**: 留空
-                           - **Model Name**: 比如 qwen-max，[点击查看模型列表](https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction#3ef6d0bcf91wy)
-                           """
+                            ##### 通义千问Qwen 配置说明
+                            - **API Key**: [点击到官网申请](https://dashscope.console.aliyun.com/apiKey)
+                            - **Base Url**: 留空
+                            - **Model Name**: 比如 qwen-max，[点击查看模型列表](https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction#3ef6d0bcf91wy)
+                            """
 
             if llm_provider == "g4f":
                 if not llm_model_name:
                     llm_model_name = "gpt-3.5-turbo"
                 with llm_helper:
                     tips = """
-                           ##### gpt4free 配置说明
-                           > [GitHub开源项目](https://github.com/xtekky/gpt4free)，可以免费使用GPT模型，但是**稳定性较差**
-                           - **API Key**: 随便填写，比如 123
-                           - **Base Url**: 留空
-                           - **Model Name**: 比如 gpt-3.5-turbo，[点击查看模型列表](https://github.com/xtekky/gpt4free/blob/main/g4f/models.py#L308)
-                           """
+                            ##### gpt4free 配置说明
+                            > [GitHub开源项目](https://github.com/xtekky/gpt4free)，可以免费使用GPT模型，但是**稳定性较差**
+                            - **API Key**: 随便填写，比如 123
+                            - **Base Url**: 留空
+                            - **Model Name**: 比如 gpt-3.5-turbo，[点击查看模型列表](https://github.com/xtekky/gpt4free/blob/main/g4f/models.py#L308)
+                            """
             if llm_provider == "azure":
                 with llm_helper:
                     tips = """
-                           ##### Azure 配置说明
-                           > [点击查看如何部署模型](https://learn.microsoft.com/zh-cn/azure/ai-services/openai/how-to/create-resource)
-                           - **API Key**: [点击到Azure后台创建](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/OpenAI)
-                           - **Base Url**: 留空
-                           - **Model Name**: 填写你实际的部署名
-                           """
+                            ##### Azure 配置说明
+                            > [点击查看如何部署模型](https://learn.microsoft.com/zh-cn/azure/ai-services/openai/how-to/create-resource)
+                            - **API Key**: [点击到Azure后台创建](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/OpenAI)
+                            - **Base Url**: 留空
+                            - **Model Name**: 填写你实际的部署名
+                            """
 
             if llm_provider == "gemini":
                 if not llm_model_name:
@@ -332,10 +352,10 @@ if not config.app.get("hide_config", False):
                     tips = """
                             ##### Gemini 配置说明
                             > 需要VPN开启全局流量模式
-                           - **API Key**: [点击到官网申请](https://ai.google.dev/)
-                           - **Base Url**: 留空
-                           - **Model Name**: 比如 gemini-1.0-pro
-                           """
+                            - **API Key**: [点击到官网申请](https://ai.google.dev/)
+                            - **Base Url**: 留空
+                            - **Model Name**: 比如 gemini-1.0-pro
+                            """
 
             if llm_provider == "deepseek":
                 if not llm_model_name:
@@ -344,20 +364,20 @@ if not config.app.get("hide_config", False):
                     llm_base_url = "https://api.deepseek.com"
                 with llm_helper:
                     tips = """
-                           ##### DeepSeek 配置说明
-                           - **API Key**: [点击到官网申请](https://platform.deepseek.com/api_keys)
-                           - **Base Url**: 固定为 https://api.deepseek.com
-                           - **Model Name**: 固定为 deepseek-chat
-                           """
+                            ##### DeepSeek 配置说明
+                            - **API Key**: [点击到官网申请](https://platform.deepseek.com/api_keys)
+                            - **Base Url**: 固定为 https://api.deepseek.com
+                            - **Model Name**: 固定为 deepseek-chat
+                            """
 
             if llm_provider == "ernie":
                 with llm_helper:
                     tips = """
-                           ##### 百度文心一言 配置说明
-                           - **API Key**: [点击到官网申请](https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application)
-                           - **Secret Key**: [点击到官网申请](https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application)
-                           - **Base Url**: 填写 **请求地址** [点击查看文档](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/jlil56u11#%E8%AF%B7%E6%B1%82%E8%AF%B4%E6%98%8E)
-                           """
+                            ##### 百度文心一言 配置说明
+                            - **API Key**: [点击到官网申请](https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application)
+                            - **Secret Key**: [点击到官网申请](https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application)
+                            - **Base Url**: 填写 **请求地址** [点击查看文档](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/jlil56u11#%E8%AF%B7%E6%B1%82%E8%AF%B4%E6%98%8E)
+                            """
 
             if tips and config.ui["language"] == "zh":
                 st.warning(
@@ -400,32 +420,36 @@ if not config.app.get("hide_config", False):
                 if st_llm_account_id:
                     config.app[f"{llm_provider}_account_id"] = st_llm_account_id
 
+        # 右侧面板 - API 密钥设置
         with right_config_panel:
 
-            def get_keys_from_config(cfg_key):
-                api_keys = config.app.get(cfg_key, [])
-                if isinstance(api_keys, str):
-                    api_keys = [api_keys]
-                api_key = ", ".join(api_keys)
-                return api_key
+                def get_keys_from_config(cfg_key):
+                    api_keys = config.app.get(cfg_key, [])
+                    if isinstance(api_keys, str):
+                        api_keys = [api_keys]
+                    api_key = ", ".join(api_keys)
+                    return api_key
 
-            def save_keys_to_config(cfg_key, value):
-                value = value.replace(" ", "")
-                if value:
-                    config.app[cfg_key] = value.split(",")
+                def save_keys_to_config(cfg_key, value):
+                    value = value.replace(" ", "")
+                    if value:
+                        config.app[cfg_key] = value.split(",")
 
-            pexels_api_key = get_keys_from_config("pexels_api_keys")
-            pexels_api_key = st.text_input(
-                tr("Pexels API Key"), value=pexels_api_key, type="password"
-            )
-            save_keys_to_config("pexels_api_keys", pexels_api_key)
+                st.write(tr("Video Source Settings"))
 
-            pixabay_api_key = get_keys_from_config("pixabay_api_keys")
-            pixabay_api_key = st.text_input(
-                tr("Pixabay API Key"), value=pixabay_api_key, type="password"
-            )
-            save_keys_to_config("pixabay_api_keys", pixabay_api_key)
+                pexels_api_key = get_keys_from_config("pexels_api_keys")
+                pexels_api_key = st.text_input(
+                    tr("Pexels API Key"), value=pexels_api_key, type="password"
+                )
+                save_keys_to_config("pexels_api_keys", pexels_api_key)
 
+                pixabay_api_key = get_keys_from_config("pixabay_api_keys")
+                pixabay_api_key = st.text_input(
+                    tr("Pixabay API Key"), value=pixabay_api_key, type="password"
+                )
+                save_keys_to_config("pixabay_api_keys", pixabay_api_key)
+
+llm_provider = config.app.get("llm_provider", "").lower()
 panel = st.columns(3)
 left_panel = panel[0]
 middle_panel = panel[1]
@@ -438,7 +462,9 @@ with left_panel:
     with st.container(border=True):
         st.write(tr("Video Script Settings"))
         params.video_subject = st.text_input(
-            tr("Video Subject"), value=st.session_state["video_subject"]
+            tr("Video Subject"),
+            value=st.session_state["video_subject"],
+            key="video_subject_input",
         ).strip()
 
         video_languages = [
@@ -450,8 +476,12 @@ with left_panel:
         selected_index = st.selectbox(
             tr("Script Language"),
             index=0,
-            options=range(len(video_languages)),  # 使用索引作为内部选项值
-            format_func=lambda x: video_languages[x][0],  # 显示给用户的是标签
+            options=range(
+                len(video_languages)
+            ),  # Use the index as the internal option value
+            format_func=lambda x: video_languages[x][
+                0
+            ],  # The label is displayed to the user
         )
         params.video_language = video_languages[selected_index][1]
 
@@ -463,9 +493,13 @@ with left_panel:
                     video_subject=params.video_subject, language=params.video_language
                 )
                 terms = llm.generate_terms(params.video_subject, script)
-                st.session_state["video_script"] = script
-                st.session_state["video_terms"] = ", ".join(terms)
-
+                if "Error: " in script:
+                    st.error(tr(script))
+                elif "Error: " in terms:
+                    st.error(tr(terms))
+                else:
+                    st.session_state["video_script"] = script
+                    st.session_state["video_terms"] = ", ".join(terms)
         params.video_script = st.text_area(
             tr("Video Script"), value=st.session_state["video_script"], height=280
         )
@@ -476,10 +510,13 @@ with left_panel:
 
             with st.spinner(tr("Generating Video Keywords")):
                 terms = llm.generate_terms(params.video_subject, params.video_script)
-                st.session_state["video_terms"] = ", ".join(terms)
+                if "Error: " in terms:
+                    st.error(tr(terms))
+                else:
+                    st.session_state["video_terms"] = ", ".join(terms)
 
         params.video_terms = st.text_area(
-            tr("Video Keywords"), value=st.session_state["video_terms"], height=50
+            tr("Video Keywords"), value=st.session_state["video_terms"]
         )
 
 with middle_panel:
@@ -513,7 +550,6 @@ with middle_panel:
         config.app["video_source"] = params.video_source
 
         if params.video_source == "local":
-            _supported_types = FILE_TYPE_VIDEOS + FILE_TYPE_IMAGES
             uploaded_files = st.file_uploader(
                 "Upload Local Files",
                 type=["mp4", "mov", "avi", "flv", "mkv", "jpg", "jpeg", "png"],
@@ -523,21 +559,48 @@ with middle_panel:
         selected_index = st.selectbox(
             tr("Video Concat Mode"),
             index=1,
-            options=range(len(video_concat_modes)),  # 使用索引作为内部选项值
-            format_func=lambda x: video_concat_modes[x][0],  # 显示给用户的是标签
+            options=range(
+                len(video_concat_modes)
+            ),  # Use the index as the internal option value
+            format_func=lambda x: video_concat_modes[x][
+                0
+            ],  # The label is displayed to the user
         )
         params.video_concat_mode = VideoConcatMode(
             video_concat_modes[selected_index][1]
         )
 
+        # 视频转场模式
+        video_transition_modes = [
+            (tr("None"), VideoTransitionMode.none.value),
+            (tr("Shuffle"), VideoTransitionMode.shuffle.value),
+            (tr("FadeIn"), VideoTransitionMode.fade_in.value),
+            (tr("FadeOut"), VideoTransitionMode.fade_out.value),
+            (tr("SlideIn"), VideoTransitionMode.slide_in.value),
+            (tr("SlideOut"), VideoTransitionMode.slide_out.value),
+        ]
+        selected_index = st.selectbox(
+            tr("Video Transition Mode"),
+            options=range(len(video_transition_modes)),
+            format_func=lambda x: video_transition_modes[x][0],
+            index=0,
+        )
+        params.video_transition_mode = VideoTransitionMode(
+            video_transition_modes[selected_index][1]
+        )
+
         video_aspect_ratios = [
             (tr("Portrait"), VideoAspect.portrait.value),
             (tr("Landscape"), VideoAspect.landscape.value),
         ]
         selected_index = st.selectbox(
             tr("Video Ratio"),
-            options=range(len(video_aspect_ratios)),  # 使用索引作为内部选项值
-            format_func=lambda x: video_aspect_ratios[x][0],  # 显示给用户的是标签
+            options=range(
+                len(video_aspect_ratios)
+            ),  # Use the index as the internal option value
+            format_func=lambda x: video_aspect_ratios[x][
+                0
+            ],  # The label is displayed to the user
         )
         params.video_aspect = VideoAspect(video_aspect_ratios[selected_index][1])
 
@@ -555,7 +618,7 @@ with middle_panel:
         # tts_providers = ['edge', 'azure']
         # tts_provider = st.selectbox(tr("TTS Provider"), tts_providers)
 
-        voices = voice.get_all_azure_voices(filter_locals=support_locales)
+        voices = voice.get_all_azure_voices(filter_locals=None)
         friendly_names = {
             v: v.replace("Female", tr("Female"))
             .replace("Male", tr("Male"))
@@ -621,10 +684,15 @@ with middle_panel:
             saved_azure_speech_region = config.azure.get("speech_region", "")
             saved_azure_speech_key = config.azure.get("speech_key", "")
             azure_speech_region = st.text_input(
-                tr("Speech Region"), value=saved_azure_speech_region
+                tr("Speech Region"),
+                value=saved_azure_speech_region,
+                key="azure_speech_region_input",
             )
             azure_speech_key = st.text_input(
-                tr("Speech Key"), value=saved_azure_speech_key, type="password"
+                tr("Speech Key"),
+                value=saved_azure_speech_key,
+                type="password",
+                key="azure_speech_key_input",
             )
             config.azure["speech_region"] = azure_speech_region
             config.azure["speech_key"] = azure_speech_key
@@ -649,15 +717,21 @@ with middle_panel:
         selected_index = st.selectbox(
             tr("Background Music"),
             index=1,
-            options=range(len(bgm_options)),  # 使用索引作为内部选项值
-            format_func=lambda x: bgm_options[x][0],  # 显示给用户的是标签
+            options=range(
+                len(bgm_options)
+            ),  # Use the index as the internal option value
+            format_func=lambda x: bgm_options[x][
+                0
+            ],  # The label is displayed to the user
         )
-        # 获取选择的背景音乐类型
+        # Get the selected background music type
         params.bgm_type = bgm_options[selected_index][1]
 
-        # 根据选择显示或隐藏组件
+        # Show or hide components based on the selection
         if params.bgm_type == "custom":
-            custom_bgm_file = st.text_input(tr("Custom Background Music File"))
+            custom_bgm_file = st.text_input(
+                tr("Custom Background Music File"), key="custom_bgm_file_input"
+            )
             if custom_bgm_file and os.path.exists(custom_bgm_file):
                 params.bgm_file = custom_bgm_file
                 # st.write(f":red[已选择自定义背景音乐]：**{custom_bgm_file}**")
@@ -697,7 +771,9 @@ with right_panel:
 
         if params.subtitle_position == "custom":
             custom_position = st.text_input(
-                tr("Custom Position (% from top)"), value="70.0"
+                tr("Custom Position (% from top)"),
+                value="70.0",
+                key="custom_position_input",
             )
             try:
                 params.custom_position = float(custom_position)
@@ -734,11 +810,6 @@ if start_button:
         scroll_to_bottom()
         st.stop()
 
-    if llm_provider != "g4f" and not config.app.get(f"{llm_provider}_api_key", ""):
-        st.error(tr("Please Enter the LLM API Key"))
-        scroll_to_bottom()
-        st.stop()
-
     if params.video_source not in ["pexels", "pixabay", "local"]:
         st.error(tr("Please Select a Valid Video Source"))
         scroll_to_bottom()
@@ -805,4 +876,4 @@ if start_button:
     logger.info(tr("Video Generation Completed"))
     scroll_to_bottom()
 
-config.save_config()
+config.save_config()

webui/i18n/de.json

@@ -1,6 +1,14 @@
 {
-  "Language": "German",
+  "Language": "Deutsch",
   "Translation": {
+    "Login Required": "Anmeldung erforderlich",
+    "Please login to access settings": "Bitte melden Sie sich an, um auf die Einstellungen zuzugreifen",
+    "Username": "Benutzername",
+    "Password": "Passwort",
+    "Login": "Anmelden",
+    "Login Error": "Anmeldefehler",
+    "Incorrect username or password": "Falscher Benutzername oder Passwort",
+    "Please enter your username and password": "Bitte geben Sie Ihren Benutzernamen und Ihr Passwort ein",
     "Video Script Settings": "**Drehbuch / Topic des Videos**",
     "Video Subject": "Worum soll es in dem Video gehen? (Geben Sie ein Keyword an, :red[Dank KI wird automatisch ein Drehbuch generieren])",
     "Script Language": "Welche Sprache soll zum Generieren von Drehbüchern  verwendet werden? :red[KI generiert anhand dieses Begriffs das Drehbuch]",
@@ -10,12 +18,19 @@
     "Generate Video Keywords": "Klicken Sie, um KI zum Generieren zu verwenden [Video Keywords] basierend auf dem **Drehbuch**",
     "Please Enter the Video Subject": "Bitte geben Sie zuerst das Drehbuch an",
     "Generating Video Script and Keywords": "KI generiert ein Drehbuch und Schlüsselwörter...",
-    "Generating Video Keywords": "AI is generating video keywords...",
+    "Generating Video Keywords": "KI generiert Video-Schlüsselwörter...",
     "Video Keywords": "Video Schlüsselwörter (:blue[① Optional, KI generiert ② Verwende **, (Kommas)** zur Trennung der Wörter, in englischer Sprache])",
     "Video Settings": "**Video Einstellungen**",
     "Video Concat Mode": "Videoverkettungsmodus",
     "Random": "Zufällige Verkettung (empfohlen)",
     "Sequential": "Sequentielle Verkettung",
+    "Video Transition Mode": "Video Übergangsmodus",
+    "None": "Kein Übergang",
+    "Shuffle": "Zufällige Übergänge",
+    "FadeIn": "FadeIn",
+    "FadeOut": "FadeOut",
+    "SlideIn": "SlideIn",
+    "SlideOut": "SlideOut",
     "Video Ratio": "Video-Seitenverhältnis",
     "Portrait": "Portrait 9:16",
     "Landscape": "Landschaft 16:9",
@@ -23,8 +38,8 @@
     "Number of Videos Generated Simultaneously": "Anzahl der parallel generierten Videos",
     "Audio Settings": "**Audio Einstellungen**",
     "Speech Synthesis": "Sprachausgabe",
-    "Speech Region": "Region(:red[Required，[Get Region](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
-    "Speech Key": "API Key(:red[Required，[Get API Key](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Region": "Region(:red[Erforderlich，[Region abrufen](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Key": "API-Schlüssel(:red[Erforderlich，[API-Schlüssel abrufen](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
     "Speech Volume": "Lautstärke der Sprachausgabe",
     "Speech Rate": "Lesegeschwindigkeit (1,0 bedeutet 1x)",
     "Male": "Männlich",
@@ -54,26 +69,31 @@
     "Video Generation Completed": "Video erfolgreich generiert",
     "Video Generation Failed": "Video Generierung fehlgeschlagen",
     "You can download the generated video from the following links": "Sie können das generierte Video über die folgenden Links herunterladen",
-    "Basic Settings": "**Grunde Instellungen**",
-    "Pexels API Key": "Pexels API Key ([Get API Key](https://www.pexels.com/api/))",
-    "Pixabay API Key": "Pixabay API Key ([Get API Key](https://pixabay.com/api/docs/#api_search_videos))",
-    "Language": "Language",
-    "LLM Provider": "LLM Provider",
-    "API Key": "API Key (:red[Required])",
-    "Base Url": "Base Url",
-    "Model Name": "Model Name",
-    "Please Enter the LLM API Key": "Please Enter the **LLM API Key**",
-    "Please Enter the Pexels API Key": "Please Enter the **Pexels API Key**",
-    "Please Enter the Pixabay API Key": "Please Enter the **Pixabay API Key**",
-    "Get Help": "If you need help, or have any questions, you can join discord for help: https://harryai.cc",
-    "Video Source": "Video Source",
-    "TikTok": "TikTok (TikTok support is coming soon)",
-    "Bilibili": "Bilibili (Bilibili support is coming soon)",
-    "Xiaohongshu": "Xiaohongshu (Xiaohongshu support is coming soon)",
-    "Local file": "Local file",
-    "Play Voice": "Play Voice",
-    "Voice Example": "This is an example text for testing speech synthesis",
-    "Synthesizing Voice": "Synthesizing voice, please wait...",
-    "TTS Provider": "Select the voice synthesis provider"
+    "Basic Settings": "**Grundeinstellungen** (:blue[Klicken zum Erweitern])",
+    "Language": "Sprache",
+    "Pexels API Key": "Pexels API-Schlüssel ([API-Schlüssel abrufen](https://www.pexels.com/api/))",
+    "Pixabay API Key": "Pixabay API-Schlüssel ([API-Schlüssel abrufen](https://pixabay.com/api/docs/#api_search_videos))",
+    "LLM Provider": "KI-Modellanbieter",
+    "API Key": "API-Schlüssel (:red[Erforderlich])",
+    "Base Url": "Basis-URL",
+    "Account ID": "Konto-ID (Aus dem Cloudflare-Dashboard)",
+    "Model Name": "Modellname",
+    "Please Enter the LLM API Key": "Bitte geben Sie den **KI-Modell API-Schlüssel** ein",
+    "Please Enter the Pexels API Key": "Bitte geben Sie den **Pexels API-Schlüssel** ein",
+    "Please Enter the Pixabay API Key": "Bitte geben Sie den **Pixabay API-Schlüssel** ein",
+    "Get Help": "Wenn Sie Hilfe benötigen oder Fragen haben, können Sie dem Discord beitreten: https://harryai.cc",
+    "Video Source": "Videoquelle",
+    "TikTok": "TikTok (TikTok-Unterstützung kommt bald)",
+    "Bilibili": "Bilibili (Bilibili-Unterstützung kommt bald)",
+    "Xiaohongshu": "Xiaohongshu (Xiaohongshu-Unterstützung kommt bald)",
+    "Local file": "Lokale Datei",
+    "Play Voice": "Sprachausgabe abspielen",
+    "Voice Example": "Dies ist ein Beispieltext zum Testen der Sprachsynthese",
+    "Synthesizing Voice": "Sprachsynthese läuft, bitte warten...",
+    "TTS Provider": "Sprachsynthese-Anbieter auswählen",
+    "Hide Log": "Protokoll ausblenden",
+    "Hide Basic Settings": "Basis-Einstellungen ausblenden\n\nWenn diese Option deaktiviert ist, wird die Basis-Einstellungen-Leiste nicht auf der Seite angezeigt.\n\nWenn Sie sie erneut anzeigen möchten, setzen Sie `hide_config = false` in `config.toml`",
+    "LLM Settings": "**LLM-Einstellungen**",
+    "Video Source Settings": "**Videoquellen-Einstellungen**"
   }
 }

webui/i18n/en.json

@@ -1,6 +1,14 @@
 {
   "Language": "English",
   "Translation": {
+    "Login Required": "Login Required",
+    "Please login to access settings": "Please login to access settings",
+    "Username": "Username",
+    "Password": "Password",
+    "Login": "Login",
+    "Login Error": "Login Error",
+    "Incorrect username or password": "Incorrect username or password",
+    "Please enter your username and password": "Please enter your username and password",
     "Video Script Settings": "**Video Script Settings**",
     "Video Subject": "Video Subject (Provide a keyword, :red[AI will automatically generate] video script)",
     "Script Language": "Language for Generating Video Script (AI will automatically output based on the language of your subject)",
@@ -16,6 +24,13 @@
     "Video Concat Mode": "Video Concatenation Mode",
     "Random": "Random Concatenation (Recommended)",
     "Sequential": "Sequential Concatenation",
+    "Video Transition Mode": "Video Transition Mode",
+    "None": "None",
+    "Shuffle": "Shuffle",
+    "FadeIn": "FadeIn",
+    "FadeOut": "FadeOut",
+    "SlideIn": "SlideIn",
+    "SlideOut": "SlideOut",
     "Video Ratio": "Video Aspect Ratio",
     "Portrait": "Portrait 9:16",
     "Landscape": "Landscape 16:9",
@@ -76,6 +91,9 @@
     "Voice Example": "This is an example text for testing speech synthesis",
     "Synthesizing Voice": "Synthesizing voice, please wait...",
     "TTS Provider": "Select the voice synthesis provider",
-    "Hide Log": "Hide Log"
+    "Hide Log": "Hide Log",
+    "Hide Basic Settings": "Hide Basic Settings\n\nHidden, the basic settings panel will not be displayed on the page.\n\nIf you need to display it again, please set `hide_config = false` in `config.toml`",
+    "LLM Settings": "**LLM Settings**",
+    "Video Source Settings": "**Video Source Settings**"
   }
 }

webui/i18n/pt.json

@@ -0,0 +1,99 @@
+{
+  "Language": "Português Brasileiro",
+  "Translation": {
+    "Login Required": "Login Necessário",
+    "Please login to access settings": "Por favor, faça login para acessar as configurações",
+    "Username": "Nome de usuário",
+    "Password": "Senha",
+    "Login": "Entrar",
+    "Login Error": "Erro de Login",
+    "Incorrect username or password": "Nome de usuário ou senha incorretos",
+    "Please enter your username and password": "Por favor, digite seu nome de usuário e senha",
+    "Video Script Settings": "**Configurações do Roteiro do Vídeo**",
+    "Video Subject": "Tema do Vídeo (Forneça uma palavra-chave, :red[a IA irá gerar automaticamente] o roteiro do vídeo)",
+    "Script Language": "Idioma para Gerar o Roteiro do Vídeo (a IA irá gerar automaticamente com base no idioma do seu tema)",
+    "Generate Video Script and Keywords": "Clique para usar a IA para gerar o [Roteiro do Vídeo] e as [Palavras-chave do Vídeo] com base no **tema**",
+    "Auto Detect": "Detectar Automaticamente",
+    "Video Script": "Roteiro do Vídeo (:blue[① Opcional, gerado pela IA  ② Pontuação adequada ajuda na geração de legendas])",
+    "Generate Video Keywords": "Clique para usar a IA para gerar [Palavras-chave do Vídeo] com base no **roteiro**",
+    "Please Enter the Video Subject": "Por favor, insira o Roteiro do Vídeo primeiro",
+    "Generating Video Script and Keywords": "A IA está gerando o roteiro do vídeo e as palavras-chave...",
+    "Generating Video Keywords": "A IA está gerando as palavras-chave do vídeo...",
+    "Video Keywords": "Palavras-chave do Vídeo (:blue[① Opcional, gerado pela IA ② Use **vírgulas em inglês** para separar, somente em inglês])",
+    "Video Settings": "**Configurações do Vídeo**",
+    "Video Concat Mode": "Modo de Concatenação de Vídeo",
+    "Random": "Concatenação Aleatória (Recomendado)",
+    "Sequential": "Concatenação Sequencial",
+    "Video Transition Mode": "Modo de Transição de Vídeo",
+    "None": "Nenhuma Transição",
+    "Shuffle": "Transição Aleatória",
+    "FadeIn": "FadeIn",
+    "FadeOut": "FadeOut",
+    "SlideIn": "SlideIn",
+    "SlideOut": "SlideOut",
+    "Video Ratio": "Proporção do Vídeo",
+    "Portrait": "Retrato 9:16",
+    "Landscape": "Paisagem 16:9",
+    "Clip Duration": "Duração Máxima dos Clipes de Vídeo (segundos)",
+    "Number of Videos Generated Simultaneously": "Número de Vídeos Gerados Simultaneamente",
+    "Audio Settings": "**Configurações de Áudio**",
+    "Speech Synthesis": "Voz de Síntese de Fala",
+    "Speech Region": "Região(:red[Obrigatório，[Obter Região](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Key": "Chave da API(:red[Obrigatório，[Obter Chave da API](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Volume": "Volume da Fala (1.0 representa 100%)",
+    "Speech Rate": "Velocidade da Fala (1.0 significa velocidade 1x)",
+    "Male": "Masculino",
+    "Female": "Feminino",
+    "Background Music": "Música de Fundo",
+    "No Background Music": "Sem Música de Fundo",
+    "Random Background Music": "Música de Fundo Aleatória",
+    "Custom Background Music": "Música de Fundo Personalizada",
+    "Custom Background Music File": "Por favor, insira o caminho do arquivo para a música de fundo personalizada:",
+    "Background Music Volume": "Volume da Música de Fundo (0.2 representa 20%, a música de fundo não deve ser muito alta)",
+    "Subtitle Settings": "**Configurações de Legendas**",
+    "Enable Subtitles": "Ativar Legendas (Se desmarcado, as configurações abaixo não terão efeito)",
+    "Font": "Fonte da Legenda",
+    "Position": "Posição da Legenda",
+    "Top": "Superior",
+    "Center": "Centralizar",
+    "Bottom": "Inferior (Recomendado)",
+    "Custom": "Posição personalizada (70, indicando 70% abaixo do topo)",
+    "Font Size": "Tamanho da Fonte da Legenda",
+    "Font Color": "Cor da Fonte da Legenda",
+    "Stroke Color": "Cor do Contorno da Legenda",
+    "Stroke Width": "Largura do Contorno da Legenda",
+    "Generate Video": "Gerar Vídeo",
+    "Video Script and Subject Cannot Both Be Empty": "O Tema do Vídeo e o Roteiro do Vídeo não podem estar ambos vazios",
+    "Generating Video": "Gerando vídeo, por favor aguarde...",
+    "Start Generating Video": "Começar a Gerar Vídeo",
+    "Video Generation Completed": "Geração do Vídeo Concluída",
+    "Video Generation Failed": "Falha na Geração do Vídeo",
+    "You can download the generated video from the following links": "Você pode baixar o vídeo gerado a partir dos seguintes links",
+    "Basic Settings": "**Configurações Básicas** (:blue[Clique para expandir])",
+    "Language": "Idioma",
+    "Pexels API Key": "Chave da API do Pexels ([Obter Chave da API](https://www.pexels.com/api/))",
+    "Pixabay API Key": "Chave da API do Pixabay ([Obter Chave da API](https://pixabay.com/api/docs/#api_search_videos))",
+    "LLM Provider": "Provedor LLM",
+    "API Key": "Chave da API (:red[Obrigatório])",
+    "Base Url": "URL Base",
+    "Account ID": "ID da Conta (Obter no painel do Cloudflare)",
+    "Model Name": "Nome do Modelo",
+    "Please Enter the LLM API Key": "Por favor, insira a **Chave da API LLM**",
+    "Please Enter the Pexels API Key": "Por favor, insira a **Chave da API do Pexels**",
+    "Please Enter the Pixabay API Key": "Por favor, insira a **Chave da API do Pixabay**",
+    "Get Help": "Se precisar de ajuda ou tiver alguma dúvida, você pode entrar no discord para obter ajuda: https://harryai.cc",
+    "Video Source": "Fonte do Vídeo",
+    "TikTok": "TikTok (Suporte para TikTok em breve)",
+    "Bilibili": "Bilibili (Suporte para Bilibili em breve)",
+    "Xiaohongshu": "Xiaohongshu (Suporte para Xiaohongshu em breve)",
+    "Local file": "Arquivo local",
+    "Play Voice": "Reproduzir Voz",
+    "Voice Example": "Este é um exemplo de texto para testar a síntese de fala",
+    "Synthesizing Voice": "Sintetizando voz, por favor aguarde...",
+    "TTS Provider": "Selecione o provedor de síntese de voz",
+    "Hide Log": "Ocultar Log",
+    "Hide Basic Settings": "Ocultar Configurações Básicas\n\nOculto, o painel de configurações básicas não será exibido na página.\n\nSe precisar exibi-lo novamente, defina `hide_config = false` em `config.toml`",
+    "LLM Settings": "**Configurações do LLM**",
+    "Video Source Settings": "**Configurações da Fonte do Vídeo**"
+  }
+}

webui/i18n/vi.json

@@ -1,6 +1,14 @@
 {
   "Language": "Tiếng Việt",
   "Translation": {
+    "Login Required": "Yêu cầu đăng nhập",
+    "Please login to access settings": "Vui lòng đăng nhập để truy cập cài đặt",
+    "Username": "Tên đăng nhập",
+    "Password": "Mật khẩu",
+    "Login": "Đăng nhập",
+    "Login Error": "Lỗi đăng nhập",
+    "Incorrect username or password": "Tên đăng nhập hoặc mật khẩu không chính xác",
+    "Please enter your username and password": "Vui lòng nhập tên đăng nhập và mật khẩu của bạn",
     "Video Script Settings": "**Cài Đặt Kịch Bản Video**",
     "Video Subject": "Chủ Đề Video (Cung cấp một từ khóa, :red[AI sẽ tự động tạo ra] kịch bản video)",
     "Script Language": "Ngôn Ngữ cho Việc Tạo Kịch Bản Video (AI sẽ tự động xuất ra dựa trên ngôn ngữ của chủ đề của bạn)",
@@ -16,6 +24,13 @@
     "Video Concat Mode": "Chế Độ Nối Video",
     "Random": "Nối Ngẫu Nhiên (Được Khuyến Nghị)",
     "Sequential": "Nối Theo Thứ Tự",
+    "Video Transition Mode": "Chế Độ Chuyển Đổi Video",
+    "None": "Không Có Chuyển Đổi",
+    "Shuffle": "Chuyển Đổi Ngẫu Nhiên",
+    "FadeIn": "FadeIn",
+    "FadeOut": "FadeOut",
+    "SlideIn": "SlideIn",
+    "SlideOut": "SlideOut",
     "Video Ratio": "Tỷ Lệ Khung Hình Video",
     "Portrait": "Dọc 9:16",
     "Landscape": "Ngang 16:9",
@@ -54,10 +69,10 @@
     "Video Generation Completed": "Hoàn Tất Tạo Video",
     "Video Generation Failed": "Tạo Video Thất Bại",
     "You can download the generated video from the following links": "Bạn có thể tải video được tạo ra từ các liên kết sau",
-    "Pexels API Key": "Khóa API Pexels ([Lấy Khóa API](https://www.pexels.com/api/))",
-    "Pixabay API Key": "Pixabay API Key ([Get API Key](https://pixabay.com/api/docs/#api_search_videos))",
     "Basic Settings": "**Cài Đặt Cơ Bản** (:blue[Nhấp để mở rộng])",
     "Language": "Ngôn Ngữ",
+    "Pexels API Key": "Khóa API Pexels ([Lấy Khóa API](https://www.pexels.com/api/))",
+    "Pixabay API Key": "Khóa API Pixabay ([Lấy Khóa API](https://pixabay.com/api/docs/#api_search_videos))",
     "LLM Provider": "Nhà Cung Cấp LLM",
     "API Key": "Khóa API (:red[Bắt Buộc])",
     "Base Url": "Url Cơ Bản",
@@ -65,16 +80,20 @@
     "Model Name": "Tên Mô Hình",
     "Please Enter the LLM API Key": "Vui lòng Nhập **Khóa API LLM**",
     "Please Enter the Pexels API Key": "Vui lòng Nhập **Khóa API Pexels**",
-    "Please Enter the Pixabay API Key": "Vui lòng Nhập **Pixabay API Key**",
+    "Please Enter the Pixabay API Key": "Vui lòng Nhập **Khóa API Pixabay**",
     "Get Help": "Nếu bạn cần giúp đỡ hoặc có bất kỳ câu hỏi nào, bạn có thể tham gia discord để được giúp đỡ: https://harryai.cc",
-    "Video Source": "Video Source",
-    "TikTok": "TikTok (TikTok support is coming soon)",
-    "Bilibili": "Bilibili (Bilibili support is coming soon)",
-    "Xiaohongshu": "Xiaohongshu (Xiaohongshu support is coming soon)",
-    "Local file": "Local file",
-    "Play Voice": "Play Voice",
-    "Voice Example": "This is an example text for testing speech synthesis",
-    "Synthesizing Voice": "Synthesizing voice, please wait...",
-    "TTS Provider": "Select the voice synthesis provider"
+    "Video Source": "Nguồn Video",
+    "TikTok": "TikTok (Hỗ trợ TikTok sắp ra mắt)",
+    "Bilibili": "Bilibili (Hỗ trợ Bilibili sắp ra mắt)",
+    "Xiaohongshu": "Xiaohongshu (Hỗ trợ Xiaohongshu sắp ra mắt)",
+    "Local file": "Tệp cục bộ",
+    "Play Voice": "Phát Giọng Nói",
+    "Voice Example": "Đây là văn bản mẫu để kiểm tra tổng hợp giọng nói",
+    "Synthesizing Voice": "Đang tổng hợp giọng nói, vui lòng đợi...",
+    "TTS Provider": "Chọn nhà cung cấp tổng hợp giọng nói",
+    "Hide Log": "Ẩn Nhật Ký",
+    "Hide Basic Settings": "Ẩn Cài Đặt Cơ Bản\n\nẨn, thanh cài đặt cơ bản sẽ không hiển thị trên trang web.\n\nNếu bạn muốn hiển thị lại, vui lòng đặt `hide_config = false` trong `config.toml`",
+    "LLM Settings": "**Cài Đặt LLM**",
+    "Video Source Settings": "**Cài Đặt Nguồn Video**"
   }
-}
+}

webui/i18n/zh.json

@@ -1,6 +1,14 @@
 {
   "Language": "简体中文",
   "Translation": {
+    "Login Required": "需要登录",
+    "Please login to access settings": "请登录后访问配置设置 (:gray[默认用户名: admin, 密码: admin, 您可以在 config.toml 中修改])",
+    "Username": "用户名",
+    "Password": "密码",
+    "Login": "登录",
+    "Login Error": "登录错误",
+    "Incorrect username or password": "用户名或密码不正确",
+    "Please enter your username and password": "请输入用户名和密码",
     "Video Script Settings": "**文案设置**",
     "Video Subject": "视频主题（给定一个关键词，:red[AI自动生成]视频文案）",
     "Script Language": "生成视频脚本的语言（一般情况AI会自动根据你输入的主题语言输出）",
@@ -16,6 +24,13 @@
     "Video Concat Mode": "视频拼接模式",
     "Random": "随机拼接（推荐）",
     "Sequential": "顺序拼接",
+    "Video Transition Mode": "视频转场模式",
+    "None": "无转场",
+    "Shuffle": "随机转场",
+    "FadeIn": "渐入",
+    "FadeOut": "渐出",
+    "SlideIn": "滑动入",
+    "SlideOut": "滑动出",
     "Video Ratio": "视频比例",
     "Portrait": "竖屏 9:16（抖音视频）",
     "Landscape": "横屏 16:9（西瓜视频）",
@@ -76,6 +91,9 @@
     "Voice Example": "这是一段测试语音合成的示例文本",
     "Synthesizing Voice": "语音合成中，请稍候...",
     "TTS Provider": "语音合成提供商",
-    "Hide Log": "隐藏日志"
+    "Hide Log": "隐藏日志",
+    "Hide Basic Settings": "隐藏基础设置\n\n隐藏后，基础设置面板将不会显示在页面中。\n\n如需要再次显示，请在 `config.toml` 中设置 `hide_config = false`",
+    "LLM Settings": "**大模型设置**",
+    "Video Source Settings": "**视频源设置**"
   }
 }