Merge pull request #369 from harry0703/dev

update version to 1.1.9

.github/workflows/gh-pages.yml

@@ -0,0 +1,33 @@
+name: gp-pages
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'sites/**'
+
+jobs:
+  build-deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+      - name: Set-up Node
+        uses: actions/setup-node@v1
+        with:
+          node-version: "18.15.0"
+      - name: Install pnpm
+        run: npm install -g pnpm
+      - name: Install dependencies
+        run: pnpm i
+        working-directory: ./sites
+      - name: Build gh-pages
+        run: pnpm docs:build
+        working-directory: ./sites
+      - name: Deploy to gh-pages
+        uses: crazy-max/ghaction-github-pages@v1
+        with:
+          target_branch: gh-pages
+          build_dir: sites/docs/.vuepress/dist
+        env:
+          GITHUB_TOKEN: ${{ secrets.MY_TOKEN }}

.gitignore

@@ -11,4 +11,12 @@
 .vscode
 /**/.streamlit
 __pycache__
-logs/
+logs/
+
+node_modules
+# VuePress 默认临时文件目录
+/sites/docs/.vuepress/.temp
+# VuePress 默认缓存目录
+/sites/docs/.vuepress/.cache
+# VuePress 默认构建生成的静态文件目录
+/sites/docs/.vuepress/dist

CHANGELOG.md

@@ -0,0 +1,22 @@
+<!-- insertion marker -->
+## [1.1.2](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/releases/tag/1.1.2) - 2024-04-18
+
+<small>[Compare with first commit](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/compare/d4f7b53b841e65da658e3d77822f9923286ddab6...1.1.2)</small>
+
+### Features
+
+- add support for maximum concurrency of /api/v1/videos ([abe12ab](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/abe12abd7b78997651468ad5dd656985066f8bd9) by kevin.zhang).
+- add task deletion endpoint ([d57434e](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/d57434e0d31c8195dbcd3c86ff2763af96736cdf) by kevin.zhang).
+- add redis support for task state management ([3d45348](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/3d453486627234937c7bfe6f176890360074696b) by kevin.zhang).
+- enable cors to allow play video through mounted videos url ([3b1871d](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/3b1871d591873594bb4aa8dc17a1253b3a7563a3) by kevin.zhang).
+- add /api/v1/get_bgm_list and /api/v1/upload_bgm_file ([6d8911f](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/6d8911f5bf496e7c5dd718309a302df88d11817b) by cathy).
+- return combined videos in /api/v1/tasks response ([28199c9](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/28199c93b78f67e9a6bf50f290f1591078f63da8) by cathy).
+- add Dockerfile ([f3b3c7f](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/f3b3c7fb47b01ed4ecba44eaebf29f5d6d2cb7b5) by kevin.zhang).
+
+### Bug Fixes
+
+- response parsing bug for gemini ([ee7306d](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/ee7306d216ea41e40855bbca396cacb094d572db) by elf-mouse).
+
+### Code Refactoring
+
+- Streaming MP4 files in the browser using video html element instead of waiting for the entire file to download before playing ([d13a3cf](https://github.com/KevinZhang19870314/MoneyPrinterTurbo/commit/d13a3cf6e911d1573c62b1f6459c3c0b7a1bc18d) by kevin.zhang).

Dockerfile

@@ -1,9 +1,12 @@
 # Use an official Python runtime as a parent image
-FROM python:3.10-slim
+FROM python:3.10-slim-bullseye
 
 # Set the working directory in the container
 WORKDIR /MoneyPrinterTurbo
 
+# 设置/MoneyPrinterTurbo目录权限为777
+RUN chmod 777 /MoneyPrinterTurbo
+
 ENV PYTHONPATH="/MoneyPrinterTurbo"
 
 # Install system dependencies
@@ -16,12 +19,15 @@ RUN apt-get update && apt-get install -y \
 # Fix security policy for ImageMagick
 RUN sed -i '/<policy domain="path" rights="none" pattern="@\*"/d' /etc/ImageMagick-6/policy.xml
 
-# Copy the current directory contents into the container at /MoneyPrinterTurbo
+# Copy only the requirements.txt first to leverage Docker cache
-COPY . .
+COPY requirements.txt ./
 
 # Install Python dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
+# Now copy the rest of the codebase into the image
+COPY . .
+
 # Expose the port the app runs on
 EXPOSE 8501
 

README-en.md

@@ -10,9 +10,9 @@
 
 <h3>English | <a href="README.md">简体中文</a></h3>
 
-
+<div align="center">
-> Thanks to [RootFTW](https://github.com/Root-FTW) for the translation
+  <a href="https://trendshift.io/repositories/8731" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8731" alt="harry0703%2FMoneyPrinterTurbo | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-
+</div>
 
 Simply provide a <b>topic</b> or <b>keyword</b> for a video, and it will automatically generate the video copy, video
 materials, video subtitles, and video background music before synthesizing a high-definition short video.
@@ -59,8 +59,7 @@ https://reccloud.com
 - [x] Supports integration with various models such as **OpenAI**, **moonshot**, **Azure**, **gpt4free**, **one-api**,
   **qianwen**, **Google Gemini**, **Ollama** and more
 
- ❓[How to Use the Free OpenAI GPT-3.5 Model?](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#common-questions-)
+❓[How to Use the Free OpenAI GPT-3.5 Model?](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#common-questions-)
-
 
 ### Future Plans 📅
 
@@ -111,6 +110,11 @@ https://reccloud.com
 </tbody>
 </table>
 
+## System Requirements 📦
+
+- 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
+
 ## Installation & Deployment 📥
 
 - Try to avoid using **Chinese paths** to prevent unpredictable issues
@@ -245,8 +249,28 @@ You can switch between them by modifying the `subtitle_provider` in the `config.
 It is recommended to use `edge` mode, and switch to `whisper` mode if the quality of the subtitles generated is not
 satisfactory.
 
+> Note:
 > 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
+
+After downloading the model to local machine, copy the whole folder and put it into the following path: `.\MoneyPrinterTurbo\models`
+
+This is what the final path should look like: `.\MoneyPrinterTurbo\models\whisper-large-v3`
+
+```
+MoneyPrinterTurbo  
+  ├─models
+  │   └─whisper-large-v3
+  │          config.json
+  │          model.bin
+  │          preprocessor_config.json
+  │          tokenizer.json
+  │          vocabulary.json
+```
+
 ## Background Music 🎵
 
 Background music for videos is located in the project's `resource/songs` directory.
@@ -261,12 +285,16 @@ own fonts.
 ## Common Questions 🤔
 
 ### ❓How to Use the Free OpenAI GPT-3.5 Model?
-[OpenAI has announced that ChatGPT with 3.5 is now free](https://openai.com/blog/start-using-chatgpt-instantly), and developers have wrapped it into an API for direct usage.
+
+[OpenAI has announced that ChatGPT with 3.5 is now free](https://openai.com/blog/start-using-chatgpt-instantly), and
+developers have wrapped it into an API for direct usage.
 
 **Ensure you have Docker installed and running**. Execute the following command to start the Docker service:
+
 ```shell
 docker run -p 3040:3040 missuo/freegpt35
 ```
+
 Once successfully started, modify the `config.toml` configuration as follows:
 
 - Set `llm_provider` to `openai`
@@ -341,4 +369,4 @@ Click to view the [`LICENSE`](LICENSE) file
 
 ## Star History
 
-[![Star History Chart](https://api.star-history.com/svg?repos=harry0703/MoneyPrinterTurbo&type=Date)](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=harry0703/MoneyPrinterTurbo&type=Date)](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)

README.md

@@ -9,6 +9,9 @@
 </p>
 <br>
 <h3>简体中文 | <a href="README-en.md">English</a></h3>
+<div align="center">
+  <a href="https://trendshift.io/repositories/8731" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8731" alt="harry0703%2FMoneyPrinterTurbo | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</div>
 <br>
 只需提供一个视频 <b>主题</b> 或 <b>关键词</b> ，就可以全自动生成视频文案、视频素材、视频字幕、视频背景音乐，然后合成一个高清的短视频。
 <br>
@@ -26,7 +29,6 @@
 ## 特别感谢 🙏
 
 由于该项目的 **部署** 和 **使用**，对于一些小白用户来说，还是 **有一定的门槛**，在此特别感谢
-
 **录咖（AI智能 多媒体服务平台）** 网站基于该项目，提供的免费`AI视频生成器`服务，可以不用部署，直接在线使用，非常方便。
 
 - 中文版：https://reccloud.cn
@@ -34,6 +36,14 @@
 
 ![](docs/reccloud.cn.jpg)
 
+## 感谢赞助 🙏
+
+感谢佐糖 https://picwish.cn 对该项目的支持和赞助，使得该项目能够持续的更新和维护。
+
+佐糖专注于**图像处理领域**，提供丰富的**图像处理工具**，将复杂操作极致简化，真正实现让图像处理更简单。
+
+![picwish.jpg](docs/picwish.jpg)
+
 ## 功能特性 🎯
 
 - [x] 完整的 **MVC架构**，代码 **结构清晰**，易于维护，支持 `API` 和 `Web界面`
@@ -42,15 +52,15 @@
     - [x] 竖屏 9:16，`1080x1920`
     - [x] 横屏 16:9，`1920x1080`
 - [x] 支持 **批量视频生成**，可以一次生成多个视频，然后选择一个最满意的
-- [x] 支持 **视频片段时长**设置，方便调节素材切换频率
+- [x] 支持 **视频片段时长** 设置，方便调节素材切换频率
 - [x] 支持 **中文** 和 **英文** 视频文案
-- [x] 支持 **多种语音** 合成
+- [x] 支持 **多种语音** 合成，可 **实时试听** 效果
 - [x] 支持 **字幕生成**，可以调整 `字体`、`位置`、`颜色`、`大小`，同时支持`字幕描边`设置
 - [x] 支持 **背景音乐**，随机或者指定音乐文件，可设置`背景音乐音量`
-- [x] 视频素材来源 **高清**，而且 **无版权**
+- [x] 视频素材来源 **高清**，而且 **无版权**，也可以使用自己的 **本地素材**
-- [x] 支持 **OpenAI**、**moonshot**、**Azure**、**gpt4free**、**one-api**、**通义千问**、**Google Gemini**、**Ollama** 等多种模型接入
+- [x] 支持 **OpenAI**、**Moonshot**、**Azure**、**gpt4free**、**one-api**、**通义千问**、**Google Gemini**、**Ollama**、
-
+  **DeepSeek** 等多种模型接入
- ❓[如何使用免费的 **OpenAI GPT-3.5** 模型?](https://github.com/harry0703/MoneyPrinterTurbo?tab=readme-ov-file#%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98-)
+    - 中国用户建议使用 **DeepSeek** 或 **Moonshot** 作为大模型提供商（国内可直接访问，不需要VPN。注册就送额度，基本够用）
 
 ### 后期计划 📅
 
@@ -59,15 +69,12 @@
 - [ ] 增加视频转场效果，使其看起来更加的流畅
 - [ ] 增加更多视频素材来源，优化视频素材和文案的匹配度
 - [ ] 增加视频长度选项：短、中、长
-- [ ] 打包成一键启动包（Windows，macOS），方便使用
+- [ ] 支持更多的语音合成服务商，比如 OpenAI TTS
-- [ ] 增加免费网络代理，让访问OpenAI和素材下载不再受限
-- [ ] 可以使用自己的素材
-- [ ] 朗读声音和背景音乐，提供实时试听
-- [ ] 支持更多的语音合成服务商，比如 OpenAI TTS, Azure TTS
 - [ ] 自动上传到YouTube平台
 
 ## 交流讨论 💬
-<img src="docs/wechat-03.jpg" width="300">
+
+<img src="docs/wechat-group.jpg" width="250">
 
 ## 视频演示 📺
 
@@ -77,12 +84,14 @@
 <thead>
 <tr>
 <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《如何增加生活的乐趣》</th>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《金钱的作用》<br>更真实的合成声音</th>
 <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《生命的意义是什么》</th>
 </tr>
 </thead>
 <tbody>
 <tr>
 <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/a84d33d5-27a2-4aba-8fd0-9fb2bd91c6a6"></video></td>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/af2f3b0b-002e-49fe-b161-18ba91c055e8"></video></td>
 <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/112c9564-d52b-4472-99ad-970b75f66476"></video></td>
 </tr>
 </tbody>
@@ -106,16 +115,30 @@
 </table>
 
 ## 配置要求 📦
+
 - 建议最低 CPU 4核或以上，内存 8G 或以上，显卡非必须
 - Windows 10 或 MacOS 11.0 以上系统
 
+## 快速开始 🚀
+
+下载一键启动包，解压直接使用（路径不要有 **中文** 和 **空格**）
+
+### Windows
+
+- 百度网盘: https://pan.baidu.com/s/1jKF1mgsjfN8fBk6uTEHArQ?pwd=jrp7 提取码: jrp7
+
+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 📥
 
-> 不想部署的可以直接下载安装包，解压直接使用
-- **Windows** 版本下载地址
-  - 百度网盘: https://pan.baidu.com/s/1BB3SGtAFTytzFLS5t2d8Gg?pwd=5bry
-
 ### 前提条件
+
 - 尽量不要使用 **中文路径**，避免出现一些无法预料的问题
 - 请确保你的 **网络** 是正常的，VPN需要打开`全局流量`模式
 
@@ -131,14 +154,6 @@ git clone https://github.com/harry0703/MoneyPrinterTurbo.git
 - 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
   API Key
 
-#### ③ 配置大模型(LLM)
-
-- 如果要使用 `GPT-4.0` 或 `GPT-3.5`，需要有 `OpenAI` 的 `API Key`，如果没有，可以将 `llm_provider` 设置为 `g4f` (
-  一个免费使用GPT的开源库 https://github.com/xtekky/gpt4free ，但是该免费的服务，稳定性较差，有时候可以用，有时候用不了)
-- 或者可以使用到 [月之暗面](https://platform.moonshot.cn/console/api-keys) 申请。注册就送
-  15元体验金，可以对话1500次左右。然后设置 `llm_provider="moonshot"` 和 `moonshot_api_key`
-- 也可以使用 通义千问，具体请看配置文件里面的注释说明
-
 ### Docker部署 🐳
 
 #### ① 启动Docker
@@ -146,6 +161,7 @@ git clone https://github.com/harry0703/MoneyPrinterTurbo.git
 如果未安装 Docker，请先安装 https://www.docker.com/products/docker-desktop/
 
 如果是Windows系统，请参考微软的文档：
+
 1. https://learn.microsoft.com/zh-cn/windows/wsl/install
 2. https://learn.microsoft.com/zh-cn/windows/wsl/tutorials/wsl-containers
 
@@ -183,29 +199,24 @@ pip install -r requirements.txt
 
 #### ② 安装好 ImageMagick
 
-###### Windows:
+- Windows:
+    - 下载 https://imagemagick.org/script/download.php 选择Windows版本，切记一定要选择 **静态库** 版本，比如
+      ImageMagick-7.1.1-32-Q16-x64-**static**.exe
+    - 安装下载好的 ImageMagick，**注意不要修改安装路径**
+    - 修改 `配置文件 config.toml` 中的 `imagemagick_path` 为你的 **实际安装路径**
 
-- 下载 https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-30-Q16-x64-static.exe
+- MacOS:
-- 安装下载好的 ImageMagick，注意不要修改安装路径
+  ```shell
-- 修改 `配置文件 config.toml` 中的 `imagemagick_path` 为你的实际安装路径（如果安装的时候没有修改路径，直接取消注释即可）
+  brew install imagemagick
-
+  ````
-###### MacOS:
+- Ubuntu
-
+  ```shell
-```shell
+  sudo apt-get install imagemagick
-brew install imagemagick
+  ```
-````
+- CentOS
-
+  ```shell
-###### Ubuntu
+  sudo yum install ImageMagick
-
+  ```
-```shell
-sudo apt-get install imagemagick
-```
-
-###### CentOS
-
-```shell
-sudo yum install ImageMagick
-```
 
 #### ③ 启动Web界面 🌐
 
@@ -224,7 +235,8 @@ webui.bat
 conda activate MoneyPrinterTurbo
 sh webui.sh
 ```
-启动后，会自动打开浏览器
+
+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）
 
 #### ④ 启动API服务 🚀
 
@@ -238,6 +250,8 @@ python main.py
 
 所有支持的声音列表，可以查看：[声音列表](./docs/voice-list.txt)
 
+2024-04-16 v1.1.2 新增了9种Azure的语音合成声音，需要配置API KEY，该声音合成的更加真实。
+
 ## 字幕生成 📜
 
 当前支持2种字幕生成方式：
@@ -250,17 +264,20 @@ python main.py
 建议使用 `edge` 模式，如果生成的字幕质量不好，再切换到 `whisper` 模式
 
 > 注意：
+
 1. whisper 模式下需要到 HuggingFace 下载一个模型文件，大约 3GB 左右，请确保网络通畅
 2. 如果留空，表示不生成字幕。
 
 > 由于国内无法访问 HuggingFace，可以使用以下方法下载 `whisper-large-v3` 的模型文件
 
 下载地址：
+
 - 百度网盘: https://pan.baidu.com/s/11h3Q6tsDtjQKTjUu3sc5cA?pwd=xjs9
 - 夸克网盘：https://pan.quark.cn/s/3ee3d991d64b
 
 模型下载后解压，整个目录放到 `.\MoneyPrinterTurbo\models` 里面，
 最终的文件路径应该是这样: `.\MoneyPrinterTurbo\models\whisper-large-v3`
+
 ```
 MoneyPrinterTurbo  
   ├─models
@@ -284,25 +301,32 @@ 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 OpenAI 或者其他 LLM，没有返回正确的回复导致的。
+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。
@@ -321,52 +345,14 @@ Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variabl
 ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
 ```
 
-### ❓生成音频时报错或下载视频报错
-
-[issue 56](https://github.com/harry0703/MoneyPrinterTurbo/issues/56)
-
-```
-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. 
-if you are in China, please use a VPN.
-```
-
-这个大概率是网络原因，无法访问境外的服务，请使用VPN解决。
-
-### ❓ImageMagick is not installed on your computer
-
-[issue 33](https://github.com/harry0703/MoneyPrinterTurbo/issues/33)
-
-1. 按照 `示例配置` 里面提供的 `下载地址`
-   ，安装 https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe, 用静态库
-2. 不要安装在中文路径里面，避免出现一些无法预料的问题
-
-[issue 54](https://github.com/harry0703/MoneyPrinterTurbo/issues/54#issuecomment-2017842022)
-
-如果是linux系统，可以手动安装，参考 https://cn.linux-console.net/?p=16978
-
-感谢 [@wangwenqiao666](https://github.com/wangwenqiao666)的研究探索
-
 ### ❓ImageMagick的安全策略阻止了与临时文件@/tmp/tmpur5hyyto.txt相关的操作
 
-[issue 92](https://github.com/harry0703/MoneyPrinterTurbo/issues/92)
-
 可以在ImageMagick的配置文件policy.xml中找到这些策略。
 这个文件通常位于 /etc/ImageMagick-`X`/ 或 ImageMagick 安装目录的类似位置。
 修改包含`pattern="@"`的条目，将`rights="none"`更改为`rights="read|write"`以允许对文件的读写操作。
 
-感谢 [@chenhengzh](https://github.com/chenhengzh)的研究探索
-
 ### ❓OSError: [Errno 24] Too many open files
 
-[issue 100](https://github.com/harry0703/MoneyPrinterTurbo/issues/100)
-
 这个问题是由于系统打开文件数限制导致的，可以通过修改系统的文件打开数限制来解决。
 
 查看当前限制
@@ -381,26 +367,20 @@ ulimit -n
 ulimit -n 10240
 ```
 
-### ❓AttributeError: module 'PIL.Image' has no attribute 'ANTIALIAS'
+### ❓Whisper 模型下载失败，出现如下错误
 
-[issue 101](https://github.com/harry0703/MoneyPrinterTurbo/issues/101),
+LocalEntryNotfoundEror: Cannot find an appropriate cached snapshotfolderfor the specified revision on the local disk and
-[issue 83](https://github.com/harry0703/MoneyPrinterTurbo/issues/83),
+outgoing trafic has been disabled.
-[issue 70](https://github.com/harry0703/MoneyPrinterTurbo/issues/70)
+To enablerepo look-ups and downloads online, pass 'local files only=False' as input.
 
-先看下当前的 Pillow 版本是多少
+或者
 
-```shell
+An error occured while synchronizing the model Systran/faster-whisper-large-v3 from the Hugging Face Hub:
-pip list |grep Pillow
+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.
 
-如果是 10.x 的版本，可以尝试下降级看看，有用户反馈降级后正常
+解决方法：[点击查看如何从网盘手动下载模型](#%E5%AD%97%E5%B9%95%E7%94%9F%E6%88%90-)
-
-```shell
-pip uninstall Pillow
-pip install Pillow==9.5.0
-# 或者降级到 8.4.0
-pip install Pillow==8.4.0
-```
 
 ## 反馈建议 📢
 
@@ -416,7 +396,6 @@ pip install Pillow==8.4.0
 
 点击查看 [`LICENSE`](LICENSE) 文件
 
-
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=harry0703/MoneyPrinterTurbo&type=Date)](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)

app/config/config.py

@@ -34,8 +34,6 @@ def load_config():
 def save_config():
     with open(config_file, "w", encoding="utf-8") as f:
         _cfg["app"] = app
-        _cfg["whisper"] = whisper
-        _cfg["pexels"] = pexels
         _cfg["azure"] = azure
         _cfg["ui"] = ui
         f.write(toml.dumps(_cfg))
@@ -44,7 +42,7 @@ def save_config():
 _cfg = load_config()
 app = _cfg.get("app", {})
 whisper = _cfg.get("whisper", {})
-pexels = _cfg.get("pexels", {})
+proxy = _cfg.get("proxy", {})
 azure = _cfg.get("azure", {})
 ui = _cfg.get("ui", {})
 
@@ -56,7 +54,7 @@ listen_port = _cfg.get("listen_port", 8080)
 project_name = _cfg.get("project_name", "MoneyPrinterTurbo")
 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", "1.1.2")
+project_version = _cfg.get("project_version", "1.1.9")
 reload_debug = False
 
 imagemagick_path = app.get("imagemagick_path", "")

app/controllers/manager/base_manager.py

@@ -0,0 +1,57 @@
+import threading
+from typing import Callable, Any, Dict
+
+
+class TaskManager:
+    def __init__(self, max_concurrent_tasks: int):
+        self.max_concurrent_tasks = max_concurrent_tasks
+        self.current_tasks = 0
+        self.lock = threading.Lock()
+        self.queue = self.create_queue()
+
+    def create_queue(self):
+        raise NotImplementedError()
+
+    def add_task(self, func: Callable, *args: Any, **kwargs: Any):
+        with self.lock:
+            if self.current_tasks < self.max_concurrent_tasks:
+                print(f"add task: {func.__name__}, current_tasks: {self.current_tasks}")
+                self.execute_task(func, *args, **kwargs)
+            else:
+                print(f"enqueue task: {func.__name__}, current_tasks: {self.current_tasks}")
+                self.enqueue({"func": func, "args": args, "kwargs": kwargs})
+
+    def execute_task(self, func: Callable, *args: Any, **kwargs: Any):
+        thread = threading.Thread(target=self.run_task, args=(func, *args), kwargs=kwargs)
+        thread.start()
+
+    def run_task(self, func: Callable, *args: Any, **kwargs: Any):
+        try:
+            with self.lock:
+                self.current_tasks += 1
+            func(*args, **kwargs)  # 在这里调用函数，传递*args和**kwargs
+        finally:
+            self.task_done()
+
+    def check_queue(self):
+        with self.lock:
+            if self.current_tasks < self.max_concurrent_tasks and not self.is_queue_empty():
+                task_info = self.dequeue()
+                func = task_info['func']
+                args = task_info.get('args', ())
+                kwargs = task_info.get('kwargs', {})
+                self.execute_task(func, *args, **kwargs)
+
+    def task_done(self):
+        with self.lock:
+            self.current_tasks -= 1
+        self.check_queue()
+
+    def enqueue(self, task: Dict):
+        raise NotImplementedError()
+
+    def dequeue(self):
+        raise NotImplementedError()
+
+    def is_queue_empty(self):
+        raise NotImplementedError()

app/controllers/manager/memory_manager.py

@@ -0,0 +1,18 @@
+from queue import Queue
+from typing import Dict
+
+from app.controllers.manager.base_manager import TaskManager
+
+
+class InMemoryTaskManager(TaskManager):
+    def create_queue(self):
+        return Queue()
+
+    def enqueue(self, task: Dict):
+        self.queue.put(task)
+
+    def dequeue(self):
+        return self.queue.get()
+
+    def is_queue_empty(self):
+        return self.queue.empty()

app/controllers/manager/redis_manager.py

@@ -0,0 +1,48 @@
+import json
+from typing import Dict
+
+import redis
+
+from app.controllers.manager.base_manager import TaskManager
+from app.models.schema import VideoParams
+from app.services import task as tm
+
+FUNC_MAP = {
+    'start': tm.start,
+    # 'start_test': tm.start_test
+}
+
+
+class RedisTaskManager(TaskManager):
+    def __init__(self, max_concurrent_tasks: int, redis_url: str):
+        self.redis_client = redis.Redis.from_url(redis_url)
+        super().__init__(max_concurrent_tasks)
+
+    def create_queue(self):
+        return "task_queue"
+
+    def enqueue(self, task: Dict):
+        task_with_serializable_params = task.copy()
+
+        if 'params' in task['kwargs'] and isinstance(task['kwargs']['params'], VideoParams):
+            task_with_serializable_params['kwargs']['params'] = task['kwargs']['params'].dict()
+
+        # 将函数对象转换为其名称
+        task_with_serializable_params['func'] = task['func'].__name__
+        self.redis_client.rpush(self.queue, json.dumps(task_with_serializable_params))
+
+    def dequeue(self):
+        task_json = self.redis_client.lpop(self.queue)
+        if task_json:
+            task_info = json.loads(task_json)
+            # 将函数名称转换回函数对象
+            task_info['func'] = FUNC_MAP[task_info['func']]
+
+            if 'params' in task_info['kwargs'] and isinstance(task_info['kwargs']['params'], dict):
+                task_info['kwargs']['params'] = VideoParams(**task_info['kwargs']['params'])
+
+            return task_info
+        return None
+
+    def is_queue_empty(self):
+        return self.redis_client.llen(self.queue) == 0

app/controllers/v1/video.py

@@ -10,6 +10,8 @@ from loguru import logger
 
 from app.config import config
 from app.controllers import base
+from app.controllers.manager.memory_manager import InMemoryTaskManager
+from app.controllers.manager.redis_manager import RedisTaskManager
 from app.controllers.v1.base import new_router
 from app.models.exception import HttpException
 from app.models.schema import TaskVideoRequest, TaskQueryResponse, TaskResponse, TaskQueryRequest, \
@@ -22,6 +24,35 @@ from app.utils import utils
 # router = new_router(dependencies=[Depends(base.verify_token)])
 router = new_router()
 
+_enable_redis = config.app.get("enable_redis", False)
+_redis_host = config.app.get("redis_host", "localhost")
+_redis_port = config.app.get("redis_port", 6379)
+_redis_db = config.app.get("redis_db", 0)
+_redis_password = config.app.get("redis_password", None)
+_max_concurrent_tasks = config.app.get("max_concurrent_tasks", 5)
+
+redis_url = f"redis://:{_redis_password}@{_redis_host}:{_redis_port}/{_redis_db}"
+# 根据配置选择合适的任务管理器
+if _enable_redis:
+    task_manager = RedisTaskManager(max_concurrent_tasks=_max_concurrent_tasks, redis_url=redis_url)
+else:
+    task_manager = InMemoryTaskManager(max_concurrent_tasks=_max_concurrent_tasks)
+
+# @router.post("/videos-test", response_model=TaskResponse, summary="Generate a short video")
+# async def create_video_test(request: Request, body: TaskVideoRequest):
+#     task_id = utils.get_uuid()
+#     request_id = base.get_task_id(request)
+#     try:
+#         task = {
+#             "task_id": task_id,
+#             "request_id": request_id,
+#             "params": body.dict(),
+#         }
+#         task_manager.add_task(tm.start_test, task_id=task_id, params=body)
+#         return utils.get_response(200, task)
+#     except ValueError as e:
+#         raise HttpException(task_id=task_id, status_code=400, message=f"{request_id}: {str(e)}")
+
 
 @router.post("/videos", response_model=TaskResponse, summary="Generate a short video")
 def create_video(background_tasks: BackgroundTasks, request: Request, body: TaskVideoRequest):
@@ -34,7 +65,8 @@ def create_video(background_tasks: BackgroundTasks, request: Request, body: Task
             "params": body.dict(),
         }
         sm.state.update_task(task_id)
-        background_tasks.add_task(tm.start, task_id=task_id, params=body)
+        # background_tasks.add_task(tm.start, task_id=task_id, params=body)
+        task_manager.add_task(tm.start, task_id=task_id, params=body)
         logger.success(f"video created: {utils.to_json(task)}")
         return utils.get_response(200, task)
     except ValueError as e:

app/models/const.py

@@ -6,3 +6,6 @@ PUNCTUATIONS = [
 TASK_STATE_FAILED = -1
 TASK_STATE_COMPLETE = 1
 TASK_STATE_PROCESSING = 4
+
+FILE_TYPE_VIDEOS = ['mp4', 'mov', 'mkv', 'webm']
+FILE_TYPE_IMAGES = ['jpg', 'jpeg', 'png', 'bmp']

app/models/schema.py

@@ -1,6 +1,7 @@
 from enum import Enum
-from typing import Any, Optional
+from typing import Any, Optional, List
 
+import pydantic
 from pydantic import BaseModel
 import warnings
 
@@ -28,6 +29,11 @@ class VideoAspect(str, Enum):
         return 1080, 1920
 
 
+class _Config:
+    arbitrary_types_allowed = True
+
+
+@pydantic.dataclasses.dataclass(config=_Config)
 class MaterialInfo:
     provider: str = "pexels"
     url: str = ""
@@ -73,7 +79,7 @@ class MaterialInfo:
 # ]
 
 
-class VideoParams:
+class VideoParams(BaseModel):
     """
     {
       "video_subject": "",
@@ -95,6 +101,9 @@ class VideoParams:
     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_language: Optional[str] = ""  # auto detect
 
     voice_name: Optional[str] = ""

app/services/llm.py

@@ -9,6 +9,8 @@ from openai.types.chat import ChatCompletion
 
 from app.config import config
 
+_max_retries = 5
+
 
 def _generate_response(prompt: str) -> str:
     content = ""
@@ -64,6 +66,12 @@ def _generate_response(prompt: str) -> str:
             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"
         else:
             raise ValueError("llm_provider is not set, please set it in the config.toml file.")
 
@@ -213,11 +221,8 @@ Generate a script for a video, depending on the subject of the video.
 
     final_script = ""
     logger.info(f"subject: {video_subject}")
-    logger.debug(f"prompt: \n{prompt}")
-    response = _generate_response(prompt=prompt)
 
-    # Return the generated script
+    def format_response(response):
-    if response:
         # Clean the script
         # Remove asterisks, hashes
         response = response.replace("*", "")
@@ -234,15 +239,30 @@ Generate a script for a video, depending on the subject of the video.
         selected_paragraphs = paragraphs[:paragraph_number]
 
         # Join the selected paragraphs into a single string
-        final_script = "\n\n".join(selected_paragraphs)
+        return "\n\n".join(selected_paragraphs)
 
-        # Print to console the number of paragraphs used
+    for i in range(_max_retries):
-        # logger.info(f"number of paragraphs used: {len(selected_paragraphs)}")
+        try:
-    else:
+            response = _generate_response(prompt=prompt)
-        logging.error("gpt returned an empty response")
+            if response:
+                final_script = format_response(response)
+            else:
+                logging.error("gpt returned an empty response")
+
+            # g4f may return an error message
+            if final_script and "当日额度已消耗完" in final_script:
+                raise ValueError(final_script)
+
+            if final_script:
+                break
+        except Exception as e:
+            logger.error(f"failed to generate script: {e}")
+
+        if i < _max_retries:
+            logger.warning(f"failed to generate video script, trying again... {i + 1}")
 
     logger.success(f"completed: \n{final_script}")
-    return final_script
+    return final_script.strip()
 
 
 def generate_terms(video_subject: str, video_script: str, amount: int = 5) -> List[str]:
@@ -273,25 +293,28 @@ Please note that you must use English for generating video search terms; Chinese
 """.strip()
 
     logger.info(f"subject: {video_subject}")
-    logger.debug(f"prompt: \n{prompt}")
+
-    response = _generate_response(prompt)
     search_terms = []
+    for i in range(_max_retries):
+        try:
+            response = _generate_response(prompt)
+            search_terms = json.loads(response)
+            if not isinstance(search_terms, list) or not all(isinstance(term, str) for term in search_terms):
+                logger.error("response is not a list of strings.")
+                continue
 
-    try:
+        except Exception as e:
-        search_terms = json.loads(response)
+            match = re.search(r'\[.*]', response)
-        if not isinstance(search_terms, list) or not all(isinstance(term, str) for term in search_terms):
+            if match:
-            raise ValueError("response is not a list of strings.")
+                try:
+                    search_terms = json.loads(match.group())
+                except json.JSONDecodeError:
+                    pass
 
-    except (json.JSONDecodeError, ValueError):
+        if search_terms and len(search_terms) > 0:
-        # logger.warning(f"gpt returned an unformatted response. attempting to clean...")
+            break
-        # Attempt to extract list-like string and convert to list
+        if i < _max_retries:
-        match = re.search(r'\["(?:[^"\\]|\\.)*"(?:,\s*"[^"\\]*")*\]', response)
+            logger.warning(f"failed to generate video terms, trying again... {i + 1}")
-        if match:
-            try:
-                search_terms = json.loads(match.group())
-            except json.JSONDecodeError:
-                logger.error(f"could not parse response: {response}")
-                return []
 
     logger.success(f"completed: \n{search_terms}")
     return search_terms
@@ -300,8 +323,8 @@ Please note that you must use English for generating video search terms; Chinese
 if __name__ == "__main__":
     video_subject = "生命的意义是什么"
     script = generate_script(video_subject=video_subject, language="zh-CN", paragraph_number=1)
-    # print("######################")
+    print("######################")
-    # print(script)
+    print(script)
-    # search_terms = generate_terms(video_subject=video_subject, video_script=script, amount=5)
+    search_terms = generate_terms(video_subject=video_subject, video_script=script, amount=5)
-    # print("######################")
+    print("######################")
-    # print(search_terms)
+    print(search_terms)

app/services/material.py

@@ -14,33 +14,33 @@ from app.utils import utils
 requested_count = 0
 
 
-def round_robin_api_key():
+def get_api_key(cfg_key: str):
-    pexels_api_keys = config.app.get("pexels_api_keys")
+    api_keys = config.app.get(cfg_key)
-    if not pexels_api_keys:
+    if not api_keys:
         raise ValueError(
-            f"\n\n##### pexels_api_keys is not set #####\n\nPlease set it in the config.toml file: {config.config_file}\n\n{utils.to_json(config.app)}")
+            f"\n\n##### {cfg_key} is not set #####\n\nPlease set it in the config.toml file: {config.config_file}\n\n"
+            f"{utils.to_json(config.app)}")
 
     # if only one key is provided, return it
-    if isinstance(pexels_api_keys, str):
+    if isinstance(api_keys, str):
-        return pexels_api_keys
+        return api_keys
 
     global requested_count
     requested_count += 1
-    return pexels_api_keys[requested_count % len(pexels_api_keys)]
+    return api_keys[requested_count % len(api_keys)]
 
 
-def search_videos(search_term: str,
+def search_videos_pexels(search_term: str,
-                  minimum_duration: int,
+                         minimum_duration: int,
-                  video_aspect: VideoAspect = VideoAspect.portrait,
+                         video_aspect: VideoAspect = VideoAspect.portrait,
-                  ) -> List[MaterialInfo]:
+                         ) -> List[MaterialInfo]:
     aspect = VideoAspect(video_aspect)
     video_orientation = aspect.name
     video_width, video_height = aspect.to_resolution()
-
+    api_key = get_api_key("pexels_api_keys")
     headers = {
-        "Authorization": round_robin_api_key()
+        "Authorization": api_key
     }
-    proxies = config.pexels.get("proxies", None)
     # Build URL
     params = {
         "query": search_term,
@@ -48,10 +48,10 @@ def search_videos(search_term: str,
         "orientation": video_orientation
     }
     query_url = f"https://api.pexels.com/videos/search?{urlencode(params)}"
-    logger.info(f"searching videos: {query_url}, with proxies: {proxies}")
+    logger.info(f"searching videos: {query_url}, with proxies: {config.proxy}")
 
     try:
-        r = requests.get(query_url, headers=headers, proxies=proxies, verify=False)
+        r = requests.get(query_url, headers=headers, proxies=config.proxy, verify=False, timeout=(30, 60))
         response = r.json()
         video_items = []
         if "videos" not in response:
@@ -83,6 +83,59 @@ def search_videos(search_term: str,
     return []
 
 
+def search_videos_pixabay(search_term: str,
+                          minimum_duration: int,
+                          video_aspect: VideoAspect = VideoAspect.portrait,
+                          ) -> List[MaterialInfo]:
+    aspect = VideoAspect(video_aspect)
+
+    video_width, video_height = aspect.to_resolution()
+
+    api_key = get_api_key("pixabay_api_keys")
+    # Build URL
+    params = {
+        "q": search_term,
+        "video_type": "all",  # Accepted values: "all", "film", "animation"
+        "per_page": 50,
+        "key": api_key
+    }
+    query_url = f"https://pixabay.com/api/videos/?{urlencode(params)}"
+    logger.info(f"searching videos: {query_url}, with proxies: {config.proxy}")
+
+    try:
+        r = requests.get(query_url, proxies=config.proxy, verify=False, timeout=(30, 60))
+        response = r.json()
+        video_items = []
+        if "hits" not in response:
+            logger.error(f"search videos failed: {response}")
+            return video_items
+        videos = response["hits"]
+        # loop through each video in the result
+        for v in videos:
+            duration = v["duration"]
+            # check if video has desired minimum duration
+            if duration < minimum_duration:
+                continue
+            video_files = v["videos"]
+            # loop through each url to determine the best quality
+            for video_type in video_files:
+                video = video_files[video_type]
+                w = int(video["width"])
+                h = int(video["height"])
+                if w >= video_width:
+                    item = MaterialInfo()
+                    item.provider = "pixabay"
+                    item.url = video["url"]
+                    item.duration = duration
+                    video_items.append(item)
+                    break
+        return video_items
+    except Exception as e:
+        logger.error(f"search videos failed: {str(e)}")
+
+    return []
+
+
 def save_video(video_url: str, save_dir: str = "") -> str:
     if not save_dir:
         save_dir = utils.storage_dir("cache_videos")
@@ -101,9 +154,8 @@ def save_video(video_url: str, save_dir: str = "") -> str:
         return video_path
 
     # if video does not exist, download it
-    proxies = config.pexels.get("proxies", None)
     with open(video_path, "wb") as f:
-        f.write(requests.get(video_url, proxies=proxies, verify=False, timeout=(60, 240)).content)
+        f.write(requests.get(video_url, proxies=config.proxy, verify=False, timeout=(60, 240)).content)
 
     if os.path.exists(video_path) and os.path.getsize(video_path) > 0:
         try:
@@ -124,6 +176,7 @@ def save_video(video_url: str, save_dir: str = "") -> str:
 
 def download_videos(task_id: str,
                     search_terms: List[str],
+                    source: str = "pexels",
                     video_aspect: VideoAspect = VideoAspect.portrait,
                     video_contact_mode: VideoConcatMode = VideoConcatMode.random,
                     audio_duration: float = 0.0,
@@ -132,8 +185,11 @@ def download_videos(task_id: str,
     valid_video_items = []
     valid_video_urls = []
     found_duration = 0.0
+    search_videos = search_videos_pexels
+    if source == "pixabay":
+        search_videos = search_videos_pixabay
+
     for search_term in search_terms:
-        # logger.info(f"searching videos for '{search_term}'")
         video_items = search_videos(search_term=search_term,
                                     minimum_duration=max_clip_duration,
                                     video_aspect=video_aspect)
@@ -178,4 +234,4 @@ def download_videos(task_id: str,
 
 
 if __name__ == "__main__":
-    download_videos("test123", ["cat"], audio_duration=100)
+    download_videos("test123", ["Money Exchange Medium"], audio_duration=100, source="pixabay")

app/services/subtitle.py

@@ -24,9 +24,18 @@ def create(audio_file, subtitle_file: str = ""):
             model_path = model_size
 
         logger.info(f"loading model: {model_path}, device: {device}, compute_type: {compute_type}")
-        model = WhisperModel(model_size_or_path=model_path,
+        try:
-                             device=device,
+            model = WhisperModel(model_size_or_path=model_path,
-                             compute_type=compute_type)
+                                 device=device,
+                                 compute_type=compute_type)
+        except Exception as e:
+            logger.error(f"failed to load model: {e} \n\n"
+                         f"********************************************\n"
+                         f"this may be caused by network issue. \n"
+                         f"please download the model manually and put it in the 'models' folder. \n"
+                         f"see [README.md FAQ](https://github.com/harry0703/MoneyPrinterTurbo) for more details.\n"
+                         f"********************************************\n\n")
+            return None
 
     logger.info(f"start, output file: {subtitle_file}")
     if not subtitle_file:
@@ -120,6 +129,9 @@ def create(audio_file, subtitle_file: str = ""):
 
 
 def file_to_subtitles(filename):
+    if not filename or not os.path.isfile(filename):
+        return []
+
     times_texts = []
     current_times = None
     current_text = ""

app/services/task.py

@@ -44,6 +44,11 @@ def start(task_id, params: VideoParams):
     else:
         logger.debug(f"video script: \n{video_script}")
 
+    if not video_script:
+        sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
+        logger.error("failed to generate video script.")
+        return
+
     sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=10)
 
     logger.info("\n\n## generating video terms")
@@ -60,6 +65,11 @@ def start(task_id, params: VideoParams):
 
         logger.debug(f"video terms: {utils.to_json(video_terms)}")
 
+    if not video_terms:
+        sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
+        logger.error("failed to generate video terms.")
+        return
+
     script_file = path.join(utils.task_dir(task_id), f"script.json")
     script_data = {
         "script": video_script,
@@ -78,7 +88,11 @@ def start(task_id, params: VideoParams):
     if sub_maker is None:
         sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
         logger.error(
-            "failed to generate audio, maybe the network is not available. if you are in China, please use a VPN.")
+            """failed to generate audio:
+1. check if the language of the voice matches the language of the video script.
+2. check if the network is available. If you are in China, it is recommended to use a VPN and enable the global traffic mode.
+        """.strip()
+        )
         return
 
     audio_duration = voice.get_audio_duration(sub_maker)
@@ -110,14 +124,29 @@ def start(task_id, params: VideoParams):
 
     sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=40)
 
-    logger.info("\n\n## downloading videos")
+    downloaded_videos = []
-    downloaded_videos = material.download_videos(task_id=task_id,
+    if params.video_source == "local":
-                                                 search_terms=video_terms,
+        logger.info("\n\n## preprocess local materials")
-                                                 video_aspect=params.video_aspect,
+        materials = video.preprocess_video(materials=params.video_materials, clip_duration=max_clip_duration)
-                                                 video_contact_mode=params.video_concat_mode,
+        print(materials)
-                                                 audio_duration=audio_duration * params.video_count,
+
-                                                 max_clip_duration=max_clip_duration,
+        if not materials:
-                                                 )
+            sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
+            logger.error("no valid materials found, please check the materials and try again.")
+            return
+        for material_info in materials:
+            print(material_info)
+            downloaded_videos.append(material_info.url)
+    else:
+        logger.info(f"\n\n## downloading videos from {params.video_source}")
+        downloaded_videos = material.download_videos(task_id=task_id,
+                                                     search_terms=video_terms,
+                                                     source=params.video_source,
+                                                     video_aspect=params.video_aspect,
+                                                     video_contact_mode=params.video_concat_mode,
+                                                     audio_duration=audio_duration * params.video_count,
+                                                     max_clip_duration=max_clip_duration,
+                                                     )
     if not downloaded_videos:
         sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
         logger.error(
@@ -173,3 +202,8 @@ def start(task_id, params: VideoParams):
     }
     sm.state.update_task(task_id, state=const.TASK_STATE_COMPLETE, progress=100, **kwargs)
     return kwargs
+
+# def start_test(task_id, params: VideoParams):
+#     print(f"start task {task_id} \n")
+#     time.sleep(5)
+#     print(f"task {task_id} finished \n")

app/services/video.py

@@ -1,12 +1,13 @@
 import glob
 import random
 from typing import List
-from PIL import ImageFont
+from PIL import ImageFont, Image
 from loguru import logger
 from moviepy.editor import *
 from moviepy.video.tools.subtitles import SubtitlesClip
 
-from app.models.schema import VideoAspect, VideoParams, VideoConcatMode
+from app.models import const
+from app.models.schema import VideoAspect, VideoParams, VideoConcatMode, MaterialInfo
 from app.utils import utils
 
 
@@ -48,14 +49,29 @@ def combine_videos(combined_video_path: str,
 
     clips = []
     video_duration = 0
+
+    raw_clips = []
+    for video_path in video_paths:
+        clip = VideoFileClip(video_path).without_audio()
+        clip_duration = clip.duration
+        start_time = 0
+
+        while start_time < clip_duration:
+            end_time = min(start_time + max_clip_duration, clip_duration)
+            split_clip = clip.subclip(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
+            if video_concat_mode.value == VideoConcatMode.sequential.value:
+                break
+
+    # random video_paths order
+    if video_concat_mode.value == VideoConcatMode.random.value:
+        random.shuffle(raw_clips)
+
     # Add downloaded clips over and over until the duration of the audio (max_duration) has been reached
     while video_duration < audio_duration:
-        # random video_paths order
+        for clip in raw_clips:
-        if video_concat_mode.value == VideoConcatMode.random.value:
-            random.shuffle(video_paths)
-
-        for video_path in video_paths:
-            clip = VideoFileClip(video_path).without_audio()
             # Check if clip is longer than the remaining audio
             if (audio_duration - video_duration) < clip.duration:
                 clip = clip.subclip(0, (audio_duration - video_duration))
@@ -268,55 +284,101 @@ def generate_video(video_path: str,
     logger.success(f"completed")
 
 
+def preprocess_video(materials: List[MaterialInfo], clip_duration=4):
+    for material in materials:
+        if not material.url:
+            continue
+
+        ext = utils.parse_extension(material.url)
+        try:
+            clip = VideoFileClip(material.url)
+        except Exception as e:
+            clip = ImageClip(material.url)
+
+        width = clip.size[0]
+        height = clip.size[1]
+        if width < 480 or height < 480:
+            logger.warning(f"video is too small, width: {width}, height: {height}")
+            continue
+
+        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
+            clip = ImageClip(material.url).set_duration(clip_duration).set_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(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）
+            final_clip = CompositeVideoClip([zoom_clip])
+
+            # 输出视频
+            video_file = f"{material.url}.mp4"
+            final_clip.write_videofile(video_file, fps=30, logger=None)
+            final_clip.close()
+            material.url = video_file
+            logger.success(f"completed: {video_file}")
+    return materials
+
+
 if __name__ == "__main__":
-    txt_en = "Here's your guide to travel hacks for budget-friendly adventures"
+    m = MaterialInfo()
-    txt_zh = "测试长字段这是您的旅行技巧指南帮助您进行预算友好的冒险"
+    m.url = "/Users/harry/Downloads/IMG_2915.JPG"
-    font = utils.resource_dir() + "/fonts/STHeitiMedium.ttc"
+    m.provider = "local"
-    for txt in [txt_en, txt_zh]:
+    materials = preprocess_video([m], clip_duration=4)
-        t, h = wrap_text(text=txt, max_width=1000, font=font, fontsize=60)
+    print(materials)
-        print(t)
 
-    task_id = "aa563149-a7ea-49c2-b39f-8c32cc225baf"
+    # txt_en = "Here's your guide to travel hacks for budget-friendly adventures"
-    task_dir = utils.task_dir(task_id)
+    # txt_zh = "测试长字段这是您的旅行技巧指南帮助您进行预算友好的冒险"
-    video_file = f"{task_dir}/combined-1.mp4"
+    # font = utils.resource_dir() + "/fonts/STHeitiMedium.ttc"
-    audio_file = f"{task_dir}/audio.mp3"
+    # for txt in [txt_en, txt_zh]:
-    subtitle_file = f"{task_dir}/subtitle.srt"
+    #     t, h = wrap_text(text=txt, max_width=1000, font=font, fontsize=60)
-    output_file = f"{task_dir}/final.mp4"
+    #     print(t)
-
-    # video_paths = []
-    # for file in os.listdir(utils.storage_dir("test")):
-    #     if file.endswith(".mp4"):
-    #         video_paths.append(os.path.join(utils.storage_dir("test"), file))
     #
-    # combine_videos(combined_video_path=video_file,
+    # task_id = "aa563149-a7ea-49c2-b39f-8c32cc225baf"
-    #                audio_file=audio_file,
+    # task_dir = utils.task_dir(task_id)
-    #                video_paths=video_paths,
+    # video_file = f"{task_dir}/combined-1.mp4"
-    #                video_aspect=VideoAspect.portrait,
+    # audio_file = f"{task_dir}/audio.mp3"
-    #                video_concat_mode=VideoConcatMode.random,
+    # subtitle_file = f"{task_dir}/subtitle.srt"
-    #                max_clip_duration=5,
+    # output_file = f"{task_dir}/final.mp4"
-    #                threads=2)
+    #
-
+    # # video_paths = []
-    cfg = VideoParams()
+    # # for file in os.listdir(utils.storage_dir("test")):
-    cfg.video_aspect = VideoAspect.portrait
+    # #     if file.endswith(".mp4"):
-    cfg.font_name = "STHeitiMedium.ttc"
+    # #         video_paths.append(os.path.join(utils.storage_dir("test"), file))
-    cfg.font_size = 60
+    # #
-    cfg.stroke_color = "#000000"
+    # # combine_videos(combined_video_path=video_file,
-    cfg.stroke_width = 1.5
+    # #                audio_file=audio_file,
-    cfg.text_fore_color = "#FFFFFF"
+    # #                video_paths=video_paths,
-    cfg.text_background_color = "transparent"
+    # #                video_aspect=VideoAspect.portrait,
-    cfg.bgm_type = "random"
+    # #                video_concat_mode=VideoConcatMode.random,
-    cfg.bgm_file = ""
+    # #                max_clip_duration=5,
-    cfg.bgm_volume = 1.0
+    # #                threads=2)
-    cfg.subtitle_enabled = True
+    #
-    cfg.subtitle_position = "bottom"
+    # cfg = VideoParams()
-    cfg.n_threads = 2
+    # cfg.video_aspect = VideoAspect.portrait
-    cfg.paragraph_number = 1
+    # cfg.font_name = "STHeitiMedium.ttc"
-
+    # cfg.font_size = 60
-    cfg.voice_volume = 1.0
+    # cfg.stroke_color = "#000000"
-
+    # cfg.stroke_width = 1.5
-    generate_video(video_path=video_file,
+    # cfg.text_fore_color = "#FFFFFF"
-                   audio_path=audio_file,
+    # cfg.text_background_color = "transparent"
-                   subtitle_path=subtitle_file,
+    # cfg.bgm_type = "random"
-                   output_file=output_file,
+    # cfg.bgm_file = ""
-                   params=cfg
+    # cfg.bgm_volume = 1.0
-                   )
+    # cfg.subtitle_enabled = True
+    # cfg.subtitle_position = "bottom"
+    # cfg.n_threads = 2
+    # cfg.paragraph_number = 1
+    #
+    # cfg.voice_volume = 1.0
+    #
+    # generate_video(video_path=video_file,
+    #                audio_path=audio_file,
+    #                subtitle_path=subtitle_file,
+    #                output_file=output_file,
+    #                params=cfg
+    #                )

app/services/voice.py

@@ -15,7 +15,7 @@ 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"]
+        filter_locals = ["zh-CN", "en-US", "zh-HK", "zh-TW", "vi-VN"]
     voices_str = """
 Name: af-ZA-AdriNeural
 Gender: Female
@@ -1023,7 +1023,6 @@ def parse_voice_name(name: str):
 
 def is_azure_v2_voice(voice_name: str):
     voice_name = parse_voice_name(voice_name)
-    print(voice_name)
     if voice_name.endswith("-V2"):
         return voice_name.replace("-V2", "").strip()
     return ""
@@ -1036,6 +1035,7 @@ def tts(text: str, voice_name: str, voice_file: str) -> [SubMaker, None]:
 
 
 def azure_tts_v1(text: str, voice_name: str, voice_file: str) -> [SubMaker, None]:
+    voice_name = parse_voice_name(voice_name)
     text = text.strip()
     for i in range(3):
         try:

app/utils/utils.py

@@ -67,10 +67,13 @@ def root_dir():
     return os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
 
 
-def storage_dir(sub_dir: str = ""):
+def storage_dir(sub_dir: str = "", create: bool = False):
     d = os.path.join(root_dir(), "storage")
     if sub_dir:
         d = os.path.join(d, sub_dir)
+    if create and not os.path.exists(d):
+        os.makedirs(d)
+
     return d
 
 
@@ -219,3 +222,7 @@ def load_locales(i18n_dir):
                 with open(os.path.join(root, file), "r", encoding="utf-8") as f:
                     _locales[lang] = json.loads(f.read())
     return _locales
+
+
+def parse_extension(filename):
+    return os.path.splitext(filename)[1].strip().lower().replace(".", "")

changelog.py

@@ -0,0 +1,17 @@
+from git_changelog.cli import build_and_render
+
+# 运行这段脚本自动生成CHANGELOG.md文件
+
+build_and_render(
+    repository=".",
+    output="CHANGELOG.md",
+    convention="angular",
+    provider="github",
+    template="keepachangelog",
+    parse_trailers=True,
+    parse_refs=False,
+    sections=["build", "deps", "feat", "fix", "refactor"],
+    versioning="pep440",
+    bump="1.1.2",   # 指定bump版本
+    in_place=True,
+)

config.example.toml

@@ -1,4 +1,6 @@
 [app]
+
+    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.
@@ -6,6 +8,13 @@
     # 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 = []
 
+    # 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 = []
+
     # 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
 
@@ -31,7 +40,7 @@
     # 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-preview"
+    openai_model_name = "gpt-4-turbo"
 
     ########## Moonshot API Key
     # Visit https://platform.moonshot.cn/console/api-keys to get your API key.
@@ -48,7 +57,7 @@
     ########## 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-16k-0613"
+    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
@@ -68,9 +77,15 @@
     # https://tongyi.aliyun.com/qianwen/
     # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction
     qwen_api_key = ""
-    qwen_model_name = "qwen-max" 
+    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"
+
     # Subtitle Provider, "edge" or "whisper"
     # If empty, the subtitle will not be generated
     subtitle_provider = "edge"
@@ -134,6 +149,15 @@
     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
+
 
 [whisper]
     # Only effective when subtitle_provider is "whisper"
@@ -153,15 +177,15 @@
     device="CPU"
     compute_type="int8"
 
-[pexels]
+
-    video_concat_mode="sequential" # "random" or "sequential"
+[proxy]
-    [pexels.proxies]
+    ### Use a proxy to access the Pexels API
-        ### Use a proxy to access the Pexels API
+    ### Format: "http://<username>:<password>@<proxy>:<port>"
-        ### Format: "http://<username>:<password>@<proxy>:<port>"
+    ### Example: "http://user:pass@proxy:1234"
-        ### Example: "http://user:pass@proxy:1234"
+    ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies
-        ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies
+
-        # http = "http://10.10.1.10:3128"
+    # http = "http://10.10.1.10:3128"
-        # https = "http://10.10.1.10:1080"
+    # https = "http://10.10.1.10:1080"
 
 [azure]
     # Azure Speech API Key

requirements.txt

@@ -6,20 +6,21 @@ edge_tts~=6.1.10
 uvicorn~=0.27.1
 fastapi~=0.110.0
 tomli~=2.0.1
-streamlit~=1.32.0
+streamlit~=1.33.0
 loguru~=0.7.2
 aiohttp~=3.9.3
 urllib3~=2.2.1
-pillow~=9.5.0
+pillow~=10.3.0
 pydantic~=2.6.3
-g4f~=0.2.5.4
+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
+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
+azure-cognitiveservices-speech~=1.37.0
+git-changelog~=2.5.2

sites/docs/.vuepress/config.ts

@@ -0,0 +1,208 @@
+import { viteBundler } from "@vuepress/bundler-vite";
+import { defaultTheme } from "@vuepress/theme-default";
+import { defineUserConfig } from "vuepress";
+
+const base = "MoneyPrinterTurbo";
+const isProd = process.env.NODE_ENV === "production";
+
+export default defineUserConfig({
+  lang: "zh-CN",
+  base: `/${base}/`,
+  bundler: viteBundler(),
+  theme: defaultTheme({
+    repo: "harry0703/MoneyPrinterTurbo",
+    docsDir: "sites/docs",
+    colorModeSwitch: true,
+    locales: {
+      "/": {
+        // navbar
+        navbar: [
+          { text: "Guide", link: "/guide/" },
+          // { text: "Components", link: "/components/" },
+        ],
+        selectLanguageText: "Languages",
+        selectLanguageName: "English",
+        selectLanguageAriaLabel: "Select language",
+        // sidebar
+        sidebar: {
+          "/guide/": [
+            {
+              text: "Guide",
+              children: [
+                { text: "Get Started", link: "/guide/README.md" }, 
+                { text: "Video Demonstration", link: "/guide/video-demonstration.md" },
+                { text: "Features", link: "/guide/features.md" },
+                { text: "Speech Synthesis", link: "/guide/speech-synthesis.md" },
+                { text: "Subtitle Generation", link: "/guide/subtitle-generation.md" },
+                { text: "Background Music", link: "/guide/background-music.md" },
+                { text: "Subtitle Font", link: "/guide/subtitle-font.md" },
+              ],
+            },
+            {
+              text: "Others",
+              children: [
+                { text: "FAQ", link: "/guide/faq.md" },
+                { text: "Feedback", link: "/guide/feedback.md" },
+                { text: "Reference Project", link: "/guide/reference-project.md" },
+              ],
+            },
+          ],
+          // "/components/": getComponentsSidebar("Components", "Advanced"),
+        },
+        // page meta
+        editLinkText: "Edit this page on GitHub",
+      },
+      "/zh/": {
+        // navbar
+        navbar: [
+          { text: "指南", link: "/zh/guide/" },
+          // { text: "组件", link: "/zh/components/" },
+        ],
+        selectLanguageText: "选择语言",
+        selectLanguageName: "简体中文",
+        selectLanguageAriaLabel: "选择语言",
+        // sidebar
+        sidebar: {
+          "/zh/guide/": [
+            {
+              text: "指南",
+              children: [
+                { text: "快速开始", link: "/zh/guide/README.md" }, 
+                { text: "配置要求", link: "/zh/guide/configuration-requirements.md" },
+                { text: "视频演示", link: "/zh/guide/video-demonstration.md" },
+                { text: "功能", link: "/zh/guide/features.md" },
+                { text: "语音合成", link: "/zh/guide/speech-synthesis.md" },
+                { text: "字幕生成", link: "/zh/guide/subtitle-generation.md" },
+                { text: "背景音乐", link: "/zh/guide/background-music.md" },
+                { text: "字幕字体", link: "/zh/guide/subtitle-font.md" },
+              ],
+            },
+            {
+              text: "其他",
+              children: [
+                { text: "常见问题", link: "/zh/guide/faq.md" },
+                { text: "反馈建议", link: "/zh/guide/feedback.md" },
+                { text: "参考项目", link: "/zh/guide/reference-project.md" },
+                { text: "特别感谢", link: "/zh/guide/special-thanks.md" }, 
+                { text: "感谢赞助", link: "/zh/guide/thanks-for-sponsoring" },
+              ],
+            },
+          ],
+          // "/zh/others/": getComponentsSidebar("组件", "高级"),
+        },
+        // page meta
+        editLinkText: "在 GitHub 上编辑此页",
+        lastUpdatedText: "上次更新",
+        contributorsText: "贡献者",
+        // custom containers
+        tip: "提示",
+        warning: "注意",
+        danger: "警告",
+        // 404 page
+        notFound: [
+          "这里什么都没有",
+          "我们怎么到这来了？",
+          "这是一个 404 页面",
+          "看起来我们进入了错误的链接",
+        ],
+        backToHome: "返回首页",
+      },
+    },
+    themePlugins: {
+      // only enable git plugin in production mode
+      git: isProd,
+    },
+  }),
+  locales: {
+    "/": {
+      lang: "en-US",
+      title: "MoneyPrinterTurbo",
+      description: "Generate short videos with one click using AI LLM.",
+    },
+    "/zh/": {
+      lang: "zh-CN",
+      title: "MoneyPrinterTurbo",
+      description: "利用AI大模型，一键生成高清短视频。",
+    },
+  },
+  head: [
+    [
+      "link",
+      {
+        rel: "icon",
+        type: "image/png",
+        sizes: "16x16",
+        href: `/${base}/icons/favicon-16x16.png`,
+      },
+    ],
+    [
+      "link",
+      {
+        rel: "icon",
+        type: "image/png",
+        sizes: "32x32",
+        href: `/${base}/icons/favicon-32x32.png`,
+      },
+    ],
+    ["meta", { name: "application-name", content: "MoneyPrinterTurbo" }],
+    [
+      "meta",
+      { name: "apple-mobile-web-app-title", content: "MoneyPrinterTurbo" },
+    ],
+    ["meta", { name: "apple-mobile-web-app-capable", content: "yes" }],
+    [
+      "meta",
+      { name: "apple-mobile-web-app-status-bar-style", content: "black" },
+    ],
+    [
+      "link",
+      {
+        rel: "apple-touch-icon",
+        href: `/${base}/icons/apple-touch-icon-152x152.png`,
+      },
+    ],
+    [
+      "link",
+      {
+        rel: "mask-icon",
+        href: "/${base}/icons/safari-pinned-tab.svg",
+        color: "#3eaf7c",
+      },
+    ],
+    [
+      "meta",
+      {
+        name: "msapplication-TileImage",
+        content: "/${base}/icons/msapplication-icon-144x144.png",
+      },
+    ],
+    ["meta", { name: "msapplication-TileColor", content: "#000000" }],
+    ["meta", { name: "theme-color", content: "#3eaf7c" }],
+  ],
+});
+
+function getGuideSidebar(groupA: string, groupB: string) {
+  return [
+    {
+      text: groupA,
+      children: ["README.md", { text: "特别感谢", link: "/zh/guide/special-thanks.md" }, "2.md"],
+    },
+    {
+      text: groupB,
+      children: ["custom-validator.md", "1.md", "2.md", "3.md"],
+    },
+  ];
+}
+
+function getComponentsSidebar(groupA: string, groupB: string) {
+  return [
+    {
+      text: groupA,
+      children: ["README.md", "1.md", "2.md"],
+    },
+    {
+      text: groupB,
+      children: ["custom-components.md"],
+    },
+  ];
+}

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sites/docs/.vuepress/public/manifest.webmanifest

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+{
+  "name": "VuePress",
+  "short_name": "VuePress",
+  "description": "Vue-powered Static Site Generator",
+  "start_url": "/index.html",
+  "display": "standalone",
+  "background_color": "#fff",
+  "theme_color": "#3eaf7c",
+  "icons": [
+    {
+      "src": "/icons/android-chrome-192x192.png",
+      "sizes": "192x192",
+      "type": "image/png"
+    },
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+      "sizes": "512x512",
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+    }
+  ]
+}

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sites/docs/README.md

@@ -0,0 +1,16 @@
+---
+home: true
+heroImage: /hero.png
+actions:
+  - text: Get Started →
+    link: /guide/
+    type: primary
+features:
+  - title: Multilingual
+    details: Supports video scripts in both Chinese and English; offers multiple voice synthesis options.
+  - title: Maintainability
+    details: Complete MVC architecture with clear code structure, easy to maintain, supports both API and Web interface.
+  - title: Multi-Model Support
+    details: Supports integration with multiple models including OpenAI, moonshot, Azure, gpt4free, one-api, Tongyi Qianwen, Google Gemini, Ollama, and others.
+footer: MIT Licensed | Copyright © 2024-present MoneyPrinterTurbo
+---

sites/docs/guide/README.md

@@ -0,0 +1,134 @@
+## Installation & Deployment 📥
+
+Simply provide a <b>topic</b> or <b>keyword</b> for a video, and it will automatically generate the video copy, video
+materials, video subtitles, and video background music before synthesizing a high-definition short video.
+
+### WebUI
+
+![](/webui-en.jpg)
+
+### API Interface
+
+![](/api.jpg)
+
+- Try to avoid using **Chinese paths** to prevent unpredictable issues
+- Ensure your **network** is stable, meaning you can access foreign websites normally
+
+#### ① Clone the Project
+
+```shell
+git clone https://github.com/harry0703/MoneyPrinterTurbo.git
+```
+
+#### ② Modify the Configuration File
+
+- Copy the `config.example.toml` file and rename it to `config.toml`
+- 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
+
+If you haven't installed Docker, please install it first https://www.docker.com/products/docker-desktop/
+If you are using a Windows system, please refer to Microsoft's documentation:
+
+1. https://learn.microsoft.com/en-us/windows/wsl/install
+2. https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers
+
+```shell
+cd MoneyPrinterTurbo
+docker-compose up
+```
+
+#### ② Access the Web Interface
+
+Open your browser and visit http://0.0.0.0:8501
+
+#### ③ Access the API Interface
+
+Open your browser and visit http://0.0.0.0:8080/docs Or http://0.0.0.0:8080/redoc
+
+### Manual Deployment 📦
+
+#### ① Create a Python Virtual Environment
+
+It is recommended to create a Python virtual environment
+using [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)
+
+```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
+```
+
+#### ② Install ImageMagick
+
+###### Windows:
+
+- Download https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-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)
+
+###### MacOS:
+
+```shell
+brew install imagemagick
+```
+
+###### Ubuntu
+
+```shell
+sudo apt-get install imagemagick
+```
+
+###### CentOS
+
+```shell
+sudo yum install ImageMagick
+```
+
+#### ③ Launch the Web Interface 🌐
+
+Note that you need to execute the following commands in the `root directory` of the MoneyPrinterTurbo project
+
+###### Windows
+
+```bat
+conda activate MoneyPrinterTurbo
+webui.bat
+```
+
+###### MacOS or Linux
+
+```shell
+conda activate MoneyPrinterTurbo
+sh webui.sh
+```
+
+After launching, the browser will open automatically
+
+#### ④ Launch the API Service 🚀
+
+```shell
+python main.py
+```
+
+After launching, you can view the `API documentation` at http://127.0.0.1:8080/docs and directly test the interface
+online for a quick experience.
+
+## License 📝
+
+Click to view the [`LICENSE`](LICENSE) file
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=harry0703/MoneyPrinterTurbo&type=Date)](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)

sites/docs/guide/background-music.md

@@ -0,0 +1,5 @@
+## Background Music 🎵
+
+Background music for videos is located in the project's `resource/songs` directory.
+> The current project includes some default music from YouTube videos. If there are copyright issues, please delete
+> them.

sites/docs/guide/faq.md

@@ -0,0 +1,70 @@
+## Common Questions 🤔
+
+### ❓How to Use the Free OpenAI GPT-3.5 Model?
+
+[OpenAI has announced that ChatGPT with 3.5 is now free](https://openai.com/blog/start-using-chatgpt-instantly), and
+developers have wrapped it into an API for direct usage.
+
+**Ensure you have Docker installed and running**. Execute the following command to start the Docker service:
+
+```shell
+docker run -p 3040:3040 missuo/freegpt35
+```
+
+Once successfully started, modify the `config.toml` configuration as follows:
+
+- Set `llm_provider` to `openai`
+- Fill in `openai_api_key` with any value, for example, '123456'
+- Change `openai_base_url` to `http://localhost:3040/v1/`
+- Set `openai_model_name` to `gpt-3.5-turbo`
+
+### ❓RuntimeError: No ffmpeg exe could be found
+
+Normally, ffmpeg will be automatically downloaded and detected.
+However, if your environment has issues preventing automatic downloads, you may 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 this case, you can download ffmpeg from https://www.gyan.dev/ffmpeg/builds/, unzip it, and set `ffmpeg_path` to your
+actual installation path.
+
+```toml
+[app]
+# Please set according to your actual path, note that Windows path separators are \\
+ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
+```
+
+### ❓Error generating audio or downloading videos
+
+[issue 56](https://github.com/harry0703/MoneyPrinterTurbo/issues/56)
+
+```
+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. 
+if you are in China, please use a VPN.
+```
+
+This is likely due to network issues preventing access to foreign services. Please use a VPN to resolve this.
+
+### ❓ImageMagick is not installed on your computer
+
+[issue 33](https://github.com/harry0703/MoneyPrinterTurbo/issues/33)
+
+1. Follow the `example configuration` provided `download address` to
+   install https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-30-Q16-x64-static.exe, using the static library
+2. Do not install in a path with Chinese characters to avoid unpredictable issues
+
+[issue 54](https://github.com/harry0703/MoneyPrinterTurbo/issues/54#issuecomment-2017842022)
+
+For Linux systems, you can manually install it, refer to https://cn.linux-console.net/?p=16978
+
+Thanks to [@wangwenqiao666](https://github.com/wangwenqiao666) for their research and exploration

sites/docs/guide/features.md

@@ -0,0 +1,34 @@
+## Features 🎯
+
+- [x] Complete **MVC architecture**, **clearly structured** code, easy to maintain, supports both `API`
+  and `Web interface`
+- [x] Supports **AI-generated** video copy, as well as **customized copy**
+- [x] Supports various **high-definition video** sizes
+    - [x] Portrait 9:16, `1080x1920`
+    - [x] Landscape 16:9, `1920x1080`
+- [x] Supports **batch video generation**, allowing the creation of multiple videos at once, then selecting the most
+  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 **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
+
+❓[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

sites/docs/guide/feedback.md

@@ -0,0 +1,4 @@
+## Feedback & Suggestions 📢
+
+- You can submit an [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues) or
+  a [pull request](https://github.com/harry0703/MoneyPrinterTurbo/pulls).

sites/docs/guide/reference-project.md

@@ -0,0 +1,4 @@
+## Reference Projects 📚
+
+This project is based on https://github.com/FujiwaraChoki/MoneyPrinter and has been refactored with a lot of
+optimizations and added functionalities. Thanks to the original author for their spirit of open source.

sites/docs/guide/speech-synthesis.md

@@ -0,0 +1,3 @@
+## Voice Synthesis 🗣
+
+A list of all supported voices can be viewed here: [Voice List](/voice-list.txt)

sites/docs/guide/subtitle-font.md

@@ -0,0 +1,4 @@
+## Subtitle Fonts 🅰
+
+Fonts for rendering video subtitles are located in the project's `resource/fonts` directory, and you can also add your
+own fonts.

sites/docs/guide/subtitle-generation.md

@@ -0,0 +1,15 @@
+## Subtitle Generation 📜
+
+Currently, there are 2 ways to generate subtitles:
+
+- 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
+  reliable quality
+
+You can switch between them by modifying the `subtitle_provider` in the `config.toml` configuration file
+
+It is recommended to use `edge` mode, and switch to `whisper` mode if the quality of the subtitles generated is not
+satisfactory.
+
+> If left blank, it means no subtitles will be generated.

sites/docs/guide/video-demonstration.md

@@ -0,0 +1,35 @@
+## Video Demos 📺
+
+### Portrait 9:16
+
+<table>
+<thead>
+<tr>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> How to Add Fun to Your Life </th>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> What is the Meaning of Life</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/a84d33d5-27a2-4aba-8fd0-9fb2bd91c6a6"></video></td>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/112c9564-d52b-4472-99ad-970b75f66476"></video></td>
+</tr>
+</tbody>
+</table>
+
+### Landscape 16:9
+
+<table>
+<thead>
+<tr>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> What is the Meaning of Life</th>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> Why Exercise</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/346ebb15-c55f-47a9-a653-114f08bb8073"></video></td>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/271f2fae-8283-44a0-8aa0-0ed8f9a6fa87"></video></td>
+</tr>
+</tbody>
+</table>

sites/docs/zh/README.md

@@ -0,0 +1,16 @@
+---
+home: true
+heroImage: /hero.png
+actions:
+  - text: 快速上手 →
+    link: /zh/guide/
+    type: primary
+features:
+  - title: 多语言
+    details: 支持 中文 和 英文 视频文案；支持 多种语音 合成。
+  - title: 可维护性
+    details: 完整的 MVC架构，代码 结构清晰，易于维护，支持 API 和 Web界面。
+  - title: 多模型支持
+    details: 支持 OpenAI、moonshot、Azure、gpt4free、one-api、通义千问、Google Gemini、Ollama 等多种模型接入。
+footer: MIT Licensed | Copyright © 2024-present MoneyPrinterTurbo
+---

sites/docs/zh/guide/README.md

@@ -0,0 +1,157 @@
+## 快速开始 🚀
+
+<br>
+只需提供一个视频 <b>主题</b> 或 <b>关键词</b> ，就可以全自动生成视频文案、视频素材、视频字幕、视频背景音乐，然后合成一个高清的短视频。
+<br>
+
+<h4>Web界面</h4>
+
+![](/webui.jpg)
+
+<h4>API界面</h4>
+
+![](/api.jpg)
+
+下载一键启动包，解压直接使用
+
+### Windows
+
+- 百度网盘: https://pan.baidu.com/s/1bpGjgQVE5sADZRn3A6F87w?pwd=xt16 提取码: xt16
+
+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 Web 界面
+
+### 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
+
+- 尽量不要使用 **中文路径**，避免出现一些无法预料的问题
+- 请确保你的 **网络** 是正常的，VPN 需要打开`全局流量`模式
+
+#### ① 克隆代码
+
+```shell
+git clone https://github.com/harry0703/MoneyPrinterTurbo.git
+```
+
+#### ② 修改配置文件
+
+- 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
+  API Key
+
+#### ③ 配置大模型(LLM)
+
+- 如果要使用 `GPT-4.0` 或 `GPT-3.5`，需要有 `OpenAI` 的 `API Key`，如果没有，可以将 `llm_provider` 设置为 `g4f` (
+  一个免费使用 GPT 的开源库 https://github.com/xtekky/gpt4free ，但是该免费的服务，稳定性较差，有时候可以用，有时候用不了)
+- 或者可以使用到 [月之暗面](https://platform.moonshot.cn/console/api-keys) 申请。注册就送
+  15 元体验金，可以对话 1500 次左右。然后设置 `llm_provider="moonshot"` 和 `moonshot_api_key`
+- 也可以使用 通义千问，具体请看配置文件里面的注释说明
+
+### Docker 部署 🐳
+
+#### ① 启动 Docker
+
+如果未安装 Docker，请先安装 https://www.docker.com/products/docker-desktop/
+
+如果是 Windows 系统，请参考微软的文档：
+
+1. https://learn.microsoft.com/zh-cn/windows/wsl/install
+2. https://learn.microsoft.com/zh-cn/windows/wsl/tutorials/wsl-containers
+
+```shell
+cd MoneyPrinterTurbo
+docker-compose up
+```
+
+#### ② 访问 Web 界面
+
+打开浏览器，访问 http://0.0.0.0:8501
+
+#### ③ 访问 API 文档
+
+打开浏览器，访问 http://0.0.0.0:8080/docs 或者 http://0.0.0.0:8080/redoc
+
+### 手动部署 📦
+
+> 视频教程
+
+- 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
+
+建议使用 [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html) 创建 python 虚拟环境
+
+```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
+```
+
+#### ② 安装好 ImageMagick
+
+###### Windows:
+
+- 下载 https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-30-Q16-x64-static.exe
+- 安装下载好的 ImageMagick，注意不要修改安装路径
+- 修改 `配置文件 config.toml` 中的 `imagemagick_path` 为你的实际安装路径（如果安装的时候没有修改路径，直接取消注释即可）
+
+###### MacOS:
+
+```shell
+brew install imagemagick
+```
+
+###### Ubuntu
+
+```shell
+sudo apt-get install imagemagick
+```
+
+###### CentOS
+
+```shell
+sudo yum install ImageMagick
+```
+
+#### ③ 启动 Web 界面 🌐
+
+注意需要到 MoneyPrinterTurbo 项目 `根目录` 下执行以下命令
+
+###### Windows
+
+```bat
+conda activate MoneyPrinterTurbo
+webui.bat
+```
+
+###### MacOS or Linux
+
+```shell
+conda activate MoneyPrinterTurbo
+sh webui.sh
+```
+
+启动后，会自动打开浏览器
+
+#### ④ 启动 API 服务 🚀
+
+```shell
+python main.py
+```
+
+启动后，可以查看 `API文档` http://127.0.0.1:8080/docs 或者 http://127.0.0.1:8080/redoc 直接在线调试接口，快速体验。
+
+## 许可证 📝
+
+点击查看 [`LICENSE`](LICENSE) 文件
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=harry0703/MoneyPrinterTurbo&type=Date)](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)

sites/docs/zh/guide/background-music.md

@@ -0,0 +1,4 @@
+## 背景音乐 🎵
+
+用于视频的背景音乐，位于项目的 `resource/songs` 目录下。
+> 当前项目里面放了一些默认的音乐，来自于 YouTube 视频，如有侵权，请删除。

sites/docs/zh/guide/configuration-requirements.md

@@ -0,0 +1,4 @@
+## 配置要求 📦
+
+- 建议最低 CPU 4核或以上，内存 8G 或以上，显卡非必须
+- Windows 10 或 MacOS 11.0 以上系统

sites/docs/zh/guide/faq.md

@@ -0,0 +1,123 @@
+## 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`
+
+### ❓AttributeError: 'str' object has no attribute 'choices'`
+
+这个问题是由于 OpenAI 或者其他 LLM，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。
+
+### ❓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。
+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.
+```
+
+此时你可以从 https://www.gyan.dev/ffmpeg/builds/ 下载ffmpeg，解压后，设置 `ffmpeg_path` 为你的实际安装路径即可。
+
+```toml
+[app]
+# 请根据你的实际路径设置，注意 Windows 路径分隔符为 \\
+ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
+```
+
+### ❓生成音频时报错或下载视频报错
+
+[issue 56](https://github.com/harry0703/MoneyPrinterTurbo/issues/56)
+
+```
+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. 
+if you are in China, please use a VPN.
+```
+
+这个大概率是网络原因，无法访问境外的服务，请使用VPN解决。
+
+### ❓ImageMagick is not installed on your computer
+
+[issue 33](https://github.com/harry0703/MoneyPrinterTurbo/issues/33)
+
+1. 按照 `示例配置` 里面提供的 `下载地址`
+   ，安装 https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe, 用静态库
+2. 不要安装在中文路径里面，避免出现一些无法预料的问题
+
+[issue 54](https://github.com/harry0703/MoneyPrinterTurbo/issues/54#issuecomment-2017842022)
+
+如果是linux系统，可以手动安装，参考 https://cn.linux-console.net/?p=16978
+
+感谢 [@wangwenqiao666](https://github.com/wangwenqiao666)的研究探索
+
+### ❓ImageMagick的安全策略阻止了与临时文件@/tmp/tmpur5hyyto.txt相关的操作
+
+[issue 92](https://github.com/harry0703/MoneyPrinterTurbo/issues/92)
+
+可以在ImageMagick的配置文件policy.xml中找到这些策略。
+这个文件通常位于 /etc/ImageMagick-`X`/ 或 ImageMagick 安装目录的类似位置。
+修改包含`pattern="@"`的条目，将`rights="none"`更改为`rights="read|write"`以允许对文件的读写操作。
+
+感谢 [@chenhengzh](https://github.com/chenhengzh)的研究探索
+
+### ❓OSError: [Errno 24] Too many open files
+
+[issue 100](https://github.com/harry0703/MoneyPrinterTurbo/issues/100)
+
+这个问题是由于系统打开文件数限制导致的，可以通过修改系统的文件打开数限制来解决。
+
+查看当前限制
+
+```shell
+ulimit -n
+```
+
+如果过低，可以调高一些，比如
+
+```shell
+ulimit -n 10240
+```
+
+### ❓AttributeError: module 'PIL.Image' has no attribute 'ANTIALIAS'
+
+[issue 101](https://github.com/harry0703/MoneyPrinterTurbo/issues/101),
+[issue 83](https://github.com/harry0703/MoneyPrinterTurbo/issues/83),
+[issue 70](https://github.com/harry0703/MoneyPrinterTurbo/issues/70)
+
+先看下当前的 Pillow 版本是多少
+
+```shell
+pip list |grep Pillow
+```
+
+如果是 10.x 的版本，可以尝试下降级看看，有用户反馈降级后正常
+
+```shell
+pip uninstall Pillow
+pip install Pillow==9.5.0
+# 或者降级到 8.4.0
+pip install Pillow==8.4.0
+```

sites/docs/zh/guide/features.md

@@ -0,0 +1,31 @@
+## 功能特性 🎯
+
+- [x] 完整的 **MVC架构**，代码 **结构清晰**，易于维护，支持 `API` 和 `Web界面`
+- [x] 支持视频文案 **AI自动生成**，也可以**自定义文案**
+- [x] 支持多种 **高清视频** 尺寸
+    - [x] 竖屏 9:16，`1080x1920`
+    - [x] 横屏 16:9，`1920x1080`
+- [x] 支持 **批量视频生成**，可以一次生成多个视频，然后选择一个最满意的
+- [x] 支持 **视频片段时长**设置，方便调节素材切换频率
+- [x] 支持 **中文** 和 **英文** 视频文案
+- [x] 支持 **多种语音** 合成
+- [x] 支持 **字幕生成**，可以调整 `字体`、`位置`、`颜色`、`大小`，同时支持`字幕描边`设置
+- [x] 支持 **背景音乐**，随机或者指定音乐文件，可设置`背景音乐音量`
+- [x] 视频素材来源 **高清**，而且 **无版权**
+- [x] 支持 **OpenAI**、**moonshot**、**Azure**、**gpt4free**、**one-api**、**通义千问**、**Google Gemini**、**Ollama** 等多种模型接入
+
+  ❓[如何使用免费的 **OpenAI GPT-3.5
+  ** 模型?](https://github.com/harry0703/MoneyPrinterTurbo?tab=readme-ov-file#%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98-)
+
+  ### 后期计划 📅
+
+- [ ] GPT-SoVITS 配音支持
+- [ ] 优化语音合成，利用大模型，使其合成的声音，更加自然，情绪更加丰富
+- [ ] 增加视频转场效果，使其看起来更加的流畅
+- [ ] 增加更多视频素材来源，优化视频素材和文案的匹配度
+- [ ] 增加视频长度选项：短、中、长
+- [ ] 增加免费网络代理，让访问OpenAI和素材下载不再受限
+- [ ] 可以使用自己的素材
+- [ ] 朗读声音和背景音乐，提供实时试听
+- [ ] 支持更多的语音合成服务商，比如 OpenAI TTS
+- [ ] 自动上传到YouTube平台

sites/docs/zh/guide/feedback.md

@@ -0,0 +1,4 @@
+## 反馈建议 📢
+
+- 可以提交 [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues)
+  或者 [pull request](https://github.com/harry0703/MoneyPrinterTurbo/pulls)。

sites/docs/zh/guide/reference-project.md

@@ -0,0 +1,4 @@
+## 参考项目 📚
+
+该项目基于 https://github.com/FujiwaraChoki/MoneyPrinter 重构而来，做了大量的优化，增加了更多的功能。
+感谢原作者的开源精神。

sites/docs/zh/guide/special-thanks.md

@@ -0,0 +1,9 @@
+## 特别感谢 🙏
+
+由于该项目的 **部署** 和 **使用**，对于一些小白用户来说，还是 **有一定的门槛**，在此特别感谢
+**录咖（AI智能 多媒体服务平台）** 网站基于该项目，提供的免费`AI视频生成器`服务，可以不用部署，直接在线使用，非常方便。
+
+- 中文版：https://reccloud.cn
+- 英文版：https://reccloud.com
+
+![](/reccloud.cn.jpg)

sites/docs/zh/guide/speech-synthesis.md

@@ -0,0 +1,5 @@
+## 语音合成 🗣
+
+所有支持的声音列表，可以查看：[声音列表](/voice-list.txt)
+
+2024-04-16 v1.1.2 新增了9种Azure的语音合成声音，需要配置API KEY，该声音合成的更加真实。

sites/docs/zh/guide/subtitle-font.md

@@ -0,0 +1,3 @@
+## 字幕字体 🅰
+
+用于视频字幕的渲染，位于项目的 `resource/fonts` 目录下，你也可以放进去自己的字体。

sites/docs/zh/guide/subtitle-generation.md

@@ -0,0 +1,36 @@
+## 字幕生成 📜
+
+当前支持2种字幕生成方式：
+
+- **edge**: 生成`速度快`，性能更好，对电脑配置没有要求，但是质量可能不稳定
+- **whisper**: 生成`速度慢`，性能较差，对电脑配置有一定要求，但是`质量更可靠`。
+
+可以修改 `config.toml` 配置文件中的 `subtitle_provider` 进行切换
+
+建议使用 `edge` 模式，如果生成的字幕质量不好，再切换到 `whisper` 模式
+
+> 注意：
+
+1. whisper 模式下需要到 HuggingFace 下载一个模型文件，大约 3GB 左右，请确保网络通畅
+2. 如果留空，表示不生成字幕。
+
+> 由于国内无法访问 HuggingFace，可以使用以下方法下载 `whisper-large-v3` 的模型文件
+
+下载地址：
+
+- 百度网盘: https://pan.baidu.com/s/11h3Q6tsDtjQKTjUu3sc5cA?pwd=xjs9
+- 夸克网盘：https://pan.quark.cn/s/3ee3d991d64b
+
+模型下载后解压，整个目录放到 `.\MoneyPrinterTurbo\models` 里面，
+最终的文件路径应该是这样: `.\MoneyPrinterTurbo\models\whisper-large-v3`
+
+```
+MoneyPrinterTurbo  
+  ├─models
+  │   └─whisper-large-v3
+  │          config.json
+  │          model.bin
+  │          preprocessor_config.json
+  │          tokenizer.json
+  │          vocabulary.json
+```

sites/docs/zh/guide/thanks-for-sponsoring.md

@@ -0,0 +1,7 @@
+## 感谢赞助 🙏
+
+感谢佐糖 https://picwish.cn 对该项目的支持和赞助，使得该项目能够持续的更新和维护。
+
+佐糖专注于**图像处理领域**，提供丰富的**图像处理工具**，将复杂操作极致简化，真正实现让图像处理更简单。
+
+![picwish.jpg](/picwish.jpg)

sites/docs/zh/guide/video-demonstration.md

@@ -0,0 +1,37 @@
+## 视频演示 📺
+
+### 竖屏 9:16
+
+<table>
+<thead>
+<tr>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《如何增加生活的乐趣》</th>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《金钱的作用》<br>更真实的合成声音</th>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《生命的意义是什么》</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/a84d33d5-27a2-4aba-8fd0-9fb2bd91c6a6"></video></td>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/af2f3b0b-002e-49fe-b161-18ba91c055e8"></video></td>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/112c9564-d52b-4472-99ad-970b75f66476"></video></td>
+</tr>
+</tbody>
+</table>
+
+### 横屏 16:9
+
+<table>
+<thead>
+<tr>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji>《生命的意义是什么》</th>
+<th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji>《为什么要运动》</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/346ebb15-c55f-47a9-a653-114f08bb8073"></video></td>
+<td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/271f2fae-8283-44a0-8aa0-0ed8f9a6fa87"></video></td>
+</tr>
+</tbody>
+</table>

sites/package.json

@@ -0,0 +1,24 @@
+{
+  "name": "MoneyPrinterTurbo",
+  "version": "1.1.2",
+  "description": "利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.",
+  "main": "index.js",
+  "repository": "https://github.com/harry0703/MoneyPrinterTurbo",
+  "author": "harry0703",
+  "license": "MIT",
+  "devDependencies": {
+    "@vue/tsconfig": "^0.1.3",
+    "@vuepress/bundler-vite": "2.0.0-rc.9",
+    "@vuepress/theme-default": "2.0.0-rc.25",
+    "gh-pages": "^6.1.1",
+    "vue": "^3.4.23",
+    "vue-router": "^4.3.1",
+    "vuepress": "2.0.0-rc.9"
+  },
+  "scripts": {
+    "docs:dev": "vuepress dev docs",
+    "docs:build": "vuepress build docs",
+    "predeploy": "pnpm docs:build",
+    "deploy": "gh-pages -d docs/.vuepress/dist"
+  }
+}

sites/tsconfig.config.json

@@ -0,0 +1,14 @@
+{
+    "extends": "@vue/tsconfig/tsconfig.node.json",
+    "include": [
+        "vite.config.*",
+        "vitest.config.*",
+        "cypress.config.*"
+    ],
+    "compilerOptions": {
+        "composite": true,
+        "types": [
+            "node"
+        ]
+    }
+}

sites/tsconfig.json

@@ -0,0 +1,24 @@
+{
+  "extends": "@vue/tsconfig/tsconfig.web.json",
+  "module": "esnext",
+  "include": [
+    "env.d.ts",
+    "src/**/*",
+    "src/**/*.vue",
+    "docs/.vuepress/*.ts"
+  ],
+  "compilerOptions": {
+    "baseUrl": ".",
+    "isolatedModules": true,
+    "paths": {
+      "@/*": [
+        "./src/*"
+      ]
+    }
+  },
+  "references": [
+    {
+      "path": "./tsconfig.config.json"
+    }
+  ]
+}

webui/Main.py

@@ -30,10 +30,11 @@ st.set_page_config(page_title="MoneyPrinterTurbo",
                                 "video.\n\nhttps://github.com/harry0703/MoneyPrinterTurbo"
                    })
 
-from app.models.schema import VideoParams, VideoAspect, VideoConcatMode
+from app.models.schema import VideoParams, VideoAspect, VideoConcatMode, MaterialInfo
 from app.services import task as tm, llm, voice
 from app.utils import utils
 from app.config import config
+from app.models.const import FILE_TYPE_VIDEOS, FILE_TYPE_IMAGES
 
 hide_streamlit_style = """
 <style>#root > div:nth-child(1) > div > div > div > div > section > div {padding-top: 0rem;}</style>
@@ -41,11 +42,14 @@ hide_streamlit_style = """
 st.markdown(hide_streamlit_style, unsafe_allow_html=True)
 st.title(f"MoneyPrinterTurbo v{config.project_version}")
 
+support_locales = ["zh-CN", "zh-HK", "zh-TW", "de-DE", "en-US", "fr-FR", "vi-VN", "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'] = ''
@@ -147,83 +151,206 @@ def tr(key):
 
 st.write(tr("Get Help"))
 
-with st.expander(tr("Basic Settings"), expanded=False):
+llm_provider = config.app.get("llm_provider", "").lower()
-    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,
+if not config.app.get("hide_config", False):
-                                         index=selected_index)
+    with st.expander(tr("Basic Settings"), expanded=False):
-        if selected_language:
+        config_panels = st.columns(3)
-            code = selected_language.split(" - ")[0].strip()
+        left_config_panel = config_panels[0]
-            st.session_state['ui_language'] = code
+        middle_config_panel = config_panels[1]
-            config.ui['language'] = code
+        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
 
-    with middle_config_panel:
+            selected_language = st.selectbox(tr("Language"), options=display_languages,
-        #   openai
+                                             index=selected_index)
-        #   moonshot (月之暗面)
+            if selected_language:
-        #   oneapi
+                code = selected_language.split(" - ")[0].strip()
-        #   g4f
+                st.session_state['ui_language'] = code
-        #   azure
+                config.ui['language'] = code
-        #   qwen (通义千问)
-        #   gemini
-        #   ollama
-        llm_providers = ['OpenAI', 'Moonshot', 'Azure', 'Qwen', 'Gemini', 'Ollama', 'G4f', 'OneAPI', "Cloudflare"]
-        saved_llm_provider = config.app.get("llm_provider", "OpenAI").lower()
-        saved_llm_provider_index = 0
-        for i, provider in enumerate(llm_providers):
-            if provider.lower() == saved_llm_provider:
-                saved_llm_provider_index = i
-                break
 
-        llm_provider = st.selectbox(tr("LLM Provider"), options=llm_providers, index=saved_llm_provider_index)
+        with middle_config_panel:
-        llm_provider = llm_provider.lower()
+            #   openai
-        config.app["llm_provider"] = llm_provider
+            #   moonshot (月之暗面)
+            #   oneapi
+            #   g4f
+            #   azure
+            #   qwen (通义千问)
+            #   gemini
+            #   ollama
+            llm_providers = ['OpenAI', 'Moonshot', 'Azure', 'Qwen', 'DeepSeek', 'Gemini', 'Ollama', 'G4f', 'OneAPI',
+                             "Cloudflare"]
+            saved_llm_provider = config.app.get("llm_provider", "OpenAI").lower()
+            saved_llm_provider_index = 0
+            for i, provider in enumerate(llm_providers):
+                if provider.lower() == saved_llm_provider:
+                    saved_llm_provider_index = i
+                    break
 
-        llm_api_key = config.app.get(f"{llm_provider}_api_key", "")
+            llm_provider = st.selectbox(tr("LLM Provider"), options=llm_providers, index=saved_llm_provider_index)
-        llm_base_url = config.app.get(f"{llm_provider}_base_url", "")
+            llm_helper = st.container()
-        llm_model_name = config.app.get(f"{llm_provider}_model_name", "")
+            llm_provider = llm_provider.lower()
-        llm_account_id = config.app.get(f"{llm_provider}_account_id", "")
+            config.app["llm_provider"] = llm_provider
-        st_llm_api_key = st.text_input(tr("API Key"), value=llm_api_key, type="password")
-        st_llm_base_url = st.text_input(tr("Base Url"), value=llm_base_url)
-        st_llm_model_name = st.text_input(tr("Model Name"), value=llm_model_name)
-        if st_llm_api_key:
-            config.app[f"{llm_provider}_api_key"] = st_llm_api_key
-        if st_llm_base_url:
-            config.app[f"{llm_provider}_base_url"] = st_llm_base_url
-        if st_llm_model_name:
-            config.app[f"{llm_provider}_model_name"] = st_llm_model_name
 
-        if llm_provider == 'cloudflare':
+            llm_api_key = config.app.get(f"{llm_provider}_api_key", "")
-            st_llm_account_id = st.text_input(tr("Account ID"), value=llm_account_id)
+            llm_base_url = config.app.get(f"{llm_provider}_base_url", "")
-            if st_llm_account_id:
+            llm_model_name = config.app.get(f"{llm_provider}_model_name", "")
-                config.app[f"{llm_provider}_account_id"] = st_llm_account_id
+            llm_account_id = config.app.get(f"{llm_provider}_account_id", "")
 
-    with right_config_panel:
+            tips = ""
-        pexels_api_keys = config.app.get("pexels_api_keys", [])
+            if llm_provider == 'ollama':
-        if isinstance(pexels_api_keys, str):
+                if not llm_model_name:
-            pexels_api_keys = [pexels_api_keys]
+                    llm_model_name = "qwen:7b"
-        pexels_api_key = ", ".join(pexels_api_keys)
+                if not llm_base_url:
+                    llm_base_url = "http://localhost:11434/v1"
 
-        pexels_api_key = st.text_input(tr("Pexels API Key"), value=pexels_api_key, type="password")
+                with llm_helper:
-        pexels_api_key = pexels_api_key.replace(" ", "")
+                    tips = """
-        if pexels_api_key:
+                           ##### Ollama配置说明
-            config.app["pexels_api_keys"] = pexels_api_key.split(",")
+                           - **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)
+                           """
+
+            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)
+                           """
+
+            if llm_provider == 'qwen':
+                if not llm_model_name:
+                    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)
+                           """
+
+            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)
+                           """
+            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
+                           """
+
+            if llm_provider == 'gemini':
+                if not llm_model_name:
+                    llm_model_name = "gemini-1.0-pro"
+
+                with llm_helper:
+                    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
+                           """
+
+            if llm_provider == 'deepseek':
+                if not llm_model_name:
+                    llm_model_name = "deepseek-chat"
+                if not llm_base_url:
+                    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
+                           """
+
+            if tips and config.ui['language'] == 'zh':
+                st.warning(
+                    "中国用户建议使用 **DeepSeek** 或 **Moonshot** 作为大模型提供商\n- 国内可直接访问，不需要VPN \n- 注册就送额度，基本够用")
+                st.info(tips)
+
+            st_llm_api_key = st.text_input(tr("API Key"), value=llm_api_key, type="password")
+            st_llm_base_url = st.text_input(tr("Base Url"), value=llm_base_url)
+            st_llm_model_name = st.text_input(tr("Model Name"), value=llm_model_name)
+
+            if st_llm_api_key:
+                config.app[f"{llm_provider}_api_key"] = st_llm_api_key
+            if st_llm_base_url:
+                config.app[f"{llm_provider}_base_url"] = st_llm_base_url
+            if st_llm_model_name:
+                config.app[f"{llm_provider}_model_name"] = st_llm_model_name
+
+            if llm_provider == 'cloudflare':
+                st_llm_account_id = st.text_input(tr("Account ID"), value=llm_account_id)
+                if st_llm_account_id:
+                    config.app[f"{llm_provider}_account_id"] = st_llm_account_id
+
+        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 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)
+
+            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)
 
 panel = st.columns(3)
 left_panel = panel[0]
 middle_panel = panel[1]
 right_panel = panel[2]
 
-params = VideoParams()
+params = VideoParams(video_subject="")
+uploaded_files = []
 
 with left_panel:
     with st.container(border=True):
@@ -234,7 +361,7 @@ with left_panel:
         video_languages = [
             (tr("Auto Detect"), ""),
         ]
-        for code in ["zh-CN", "zh-TW", "de-DE", "en-US"]:
+        for code in support_locales:
             video_languages.append((code, code))
 
         selected_index = st.selectbox(tr("Script Language"),
@@ -277,6 +404,32 @@ with middle_panel:
             (tr("Sequential"), "sequential"),
             (tr("Random"), "random"),
         ]
+        video_sources = [
+            (tr("Pexels"), "pexels"),
+            (tr("Pixabay"), "pixabay"),
+            (tr("Local file"), "local"),
+            (tr("TikTok"), "douyin"),
+            (tr("Bilibili"), "bilibili"),
+            (tr("Xiaohongshu"), "xiaohongshu"),
+        ]
+
+        saved_video_source_name = config.app.get("video_source", "pexels")
+        saved_video_source_index = [v[1] for v in video_sources].index(saved_video_source_name)
+
+        selected_index = st.selectbox(tr("Video Source"),
+                                      options=range(len(video_sources)),
+                                      format_func=lambda x: video_sources[x][0],
+                                      index=saved_video_source_index
+                                      )
+        params.video_source = video_sources[selected_index][1]
+        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"],
+                                              accept_multiple_files=True)
+
         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
@@ -299,7 +452,12 @@ with middle_panel:
                                           index=0)
     with st.container(border=True):
         st.write(tr("Audio Settings"))
-        voices = voice.get_all_azure_voices(filter_locals=["zh-CN", "zh-HK", "zh-TW", "de-DE", "en-US", "fr-FR"])
+
+        # tts_providers = ['edge', 'azure']
+        # tts_provider = st.selectbox(tr("TTS Provider"), tts_providers)
+
+        voices = voice.get_all_azure_voices(
+            filter_locals=support_locales)
         friendly_names = {
             v: v.
             replace("Female", tr("Female")).
@@ -312,7 +470,7 @@ with middle_panel:
             saved_voice_name_index = list(friendly_names.keys()).index(saved_voice_name)
         else:
             for i, v in enumerate(voices):
-                if v.lower().startswith(st.session_state['ui_language'].lower()):
+                if v.lower().startswith(st.session_state['ui_language'].lower()) and "V2" not in v:
                     saved_voice_name_index = i
                     break
 
@@ -323,6 +481,27 @@ with middle_panel:
         voice_name = list(friendly_names.keys())[list(friendly_names.values()).index(selected_friendly_name)]
         params.voice_name = voice_name
         config.ui['voice_name'] = voice_name
+
+        if st.button(tr("Play Voice")):
+            play_content = params.video_subject
+            if not play_content:
+                play_content = params.video_script
+            if not play_content:
+                play_content = tr("Voice Example")
+            with st.spinner(tr("Synthesizing Voice")):
+                temp_dir = utils.storage_dir("temp", create=True)
+                audio_file = os.path.join(temp_dir, f"tmp-voice-{str(uuid4())}.mp3")
+                sub_maker = voice.tts(text=play_content, voice_name=voice_name, voice_file=audio_file)
+                # if the voice file generation failed, try again with a default content.
+                if not sub_maker:
+                    play_content = "This is a example voice. if you hear this, the voice synthesis failed with the original content."
+                    sub_maker = voice.tts(text=play_content, voice_name=voice_name, voice_file=audio_file)
+
+                if sub_maker and os.path.exists(audio_file):
+                    st.audio(audio_file, format="audio/mp3")
+                    if os.path.exists(audio_file):
+                        os.remove(audio_file)
+
         if voice.is_azure_v2_voice(voice_name):
             saved_azure_speech_region = config.azure.get(f"speech_region", "")
             saved_azure_speech_key = config.azure.get(f"speech_key", "")
@@ -344,10 +523,10 @@ with middle_panel:
                                       format_func=lambda x: bgm_options[x][0]  # 显示给用户的是标签
                                       )
         # 获取选择的背景音乐类型
-        bgm_type = bgm_options[selected_index][1]
+        params.bgm_type = bgm_options[selected_index][1]
 
         # 根据选择显示或隐藏组件
-        if bgm_type == "custom":
+        if params.bgm_type == "custom":
             custom_bgm_file = st.text_input(tr("Custom Background Music File"))
             if custom_bgm_file and os.path.exists(custom_bgm_file):
                 params.bgm_file = custom_bgm_file
@@ -410,11 +589,34 @@ if start_button:
         scroll_to_bottom()
         st.stop()
 
-    if not config.app.get("pexels_api_keys", ""):
+    if params.video_source not in ["pexels", "pixabay", "local"]:
+        st.error(tr("Please Select a Valid Video Source"))
+        scroll_to_bottom()
+        st.stop()
+
+    if params.video_source == "pexels" and not config.app.get("pexels_api_keys", ""):
         st.error(tr("Please Enter the Pexels API Key"))
         scroll_to_bottom()
         st.stop()
 
+    if params.video_source == "pixabay" and not config.app.get("pixabay_api_keys", ""):
+        st.error(tr("Please Enter the Pixabay API Key"))
+        scroll_to_bottom()
+        st.stop()
+
+    if uploaded_files:
+        local_videos_dir = utils.storage_dir("local_videos", create=True)
+        for file in uploaded_files:
+            file_path = os.path.join(local_videos_dir, f"{file.file_id}_{file.name}")
+            with open(file_path, "wb") as f:
+                f.write(file.getbuffer())
+                m = MaterialInfo()
+                m.provider = "local"
+                m.url = file_path
+                if not params.video_materials:
+                    params.video_materials = []
+                params.video_materials.append(m)
+
     log_container = st.empty()
     log_records = []
 
@@ -433,12 +635,16 @@ if start_button:
     scroll_to_bottom()
 
     result = tm.start(task_id=task_id, params=params)
+    if not result or "videos" not in result:
+        st.error(tr("Video Generation Failed"))
+        logger.error(tr("Video Generation Failed"))
+        scroll_to_bottom()
+        st.stop()
 
     video_files = result.get("videos", [])
     st.success(tr("Video Generation Completed"))
     try:
         if video_files:
-            # center the video player
             player_cols = st.columns(len(video_files) * 2 + 1)
             for i, url in enumerate(video_files):
                 player_cols[i * 2 + 1].video(url)

webui/i18n/de.json

@@ -50,9 +50,11 @@
     "Generating Video": "Video wird erstellt, bitte warten...",
     "Start Generating Video": "Beginne mit der Generierung",
     "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 (:red[Required] [Get API Key](https://www.pexels.com/api/))",
+    "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])",
@@ -60,6 +62,16 @@
     "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**",
-    "Get Help": "If you need help, or have any questions, you can join discord for help: https://harryai.cc"
+    "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"
   }
 }

webui/i18n/en.json

@@ -50,8 +50,10 @@
     "Generating Video": "Generating video, please wait...",
     "Start Generating Video": "Start Generating Video",
     "Video Generation Completed": "Video Generation Completed",
+    "Video Generation Failed": "Video Generation Failed",
     "You can download the generated video from the following links": "You can download the generated video from the following links",
-    "Pexels API Key": "Pexels API Key (:red[Required] [Get API Key](https://www.pexels.com/api/))",
+    "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))",
     "Basic Settings": "**Basic Settings** (:blue[Click to expand])",
     "Language": "Language",
     "LLM Provider": "LLM Provider",
@@ -61,6 +63,16 @@
     "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**",
-    "Get Help": "If you need help, or have any questions, you can join discord for help: https://harryai.cc"
+    "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"
   }
 }

webui/i18n/vi.json

@@ -0,0 +1,78 @@
+{
+  "Language": "Tiếng Việt",
+  "Translation": {
+    "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)",
+    "Generate Video Script and Keywords": "Nhấn để sử dụng AI để tạo [Kịch Bản Video] và [Từ Khóa Video] dựa trên **chủ đề**",
+    "Auto Detect": "Tự Động Phát Hiện",
+    "Video Script": "Kịch Bản Video (:blue[① Tùy chọn, AI tạo ra  ② Dấu câu chính xác giúp việc tạo phụ đề)",
+    "Generate Video Keywords": "Nhấn để sử dụng AI để tạo [Từ Khóa Video] dựa trên **kịch bản**",
+    "Please Enter the Video Subject": "Vui lòng Nhập Kịch Bản Video Trước",
+    "Generating Video Script and Keywords": "AI đang tạo kịch bản video và từ khóa...",
+    "Generating Video Keywords": "AI đang tạo từ khóa video...",
+    "Video Keywords": "Từ Khóa Video (:blue[① Tùy chọn, AI tạo ra ② Sử dụng dấu phẩy **Tiếng Anh** để phân tách, chỉ sử dụng Tiếng Anh])",
+    "Video Settings": "**Cài Đặt Video**",
+    "Video Concat Mode": "Chế Độ Nối Video",
+    "Random": "Nối Ngẫu Nhiên (Được Khuyến Nghị)",
+    "Sequential": "Nối Theo Thứ Tự",
+    "Video Ratio": "Tỷ Lệ Khung Hình Video",
+    "Portrait": "Dọc 9:16",
+    "Landscape": "Ngang 16:9",
+    "Clip Duration": "Thời Lượng Tối Đa Của Đoạn Video (giây)",
+    "Number of Videos Generated Simultaneously": "Số Video Được Tạo Ra Đồng Thời",
+    "Audio Settings": "**Cài Đặt Âm Thanh**",
+    "Speech Synthesis": "Giọng Đọc Văn Bản",
+    "Speech Region": "Vùng(:red[Bắt Buộc，[Lấy Vùng](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Key": "Khóa API(:red[Bắt Buộc，[Lấy Khóa API](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Volume": "Âm Lượng Giọng Đọc (1.0 đại diện cho 100%)",
+    "Male": "Nam",
+    "Female": "Nữ",
+    "Background Music": "Âm Nhạc Nền",
+    "No Background Music": "Không Có Âm Nhạc Nền",
+    "Random Background Music": "Âm Nhạc Nền Ngẫu Nhiên",
+    "Custom Background Music": "Âm Nhạc Nền Tùy Chỉnh",
+    "Custom Background Music File": "Vui lòng nhập đường dẫn tệp cho âm nhạc nền tùy chỉnh:",
+    "Background Music Volume": "Âm Lượng Âm Nhạc Nền (0.2 đại diện cho 20%, âm nhạc nền không nên quá to)",
+    "Subtitle Settings": "**Cài Đặt Phụ Đề**",
+    "Enable Subtitles": "Bật Phụ Đề (Nếu không chọn, các cài đặt dưới đây sẽ không có hiệu lực)",
+    "Font": "Phông Chữ Phụ Đề",
+    "Position": "Vị Trí Phụ Đề",
+    "Top": "Trên",
+    "Center": "Giữa",
+    "Bottom": "Dưới (Được Khuyến Nghị)",
+    "Font Size": "Cỡ Chữ Phụ Đề",
+    "Font Color": "Màu Chữ Phụ Đề",
+    "Stroke Color": "Màu Viền Phụ Đề",
+    "Stroke Width": "Độ Rộng Viền Phụ Đề",
+    "Generate Video": "Tạo Video",
+    "Video Script and Subject Cannot Both Be Empty": "Chủ Đề Video và Kịch Bản Video không thể cùng trống",
+    "Generating Video": "Đang tạo video, vui lòng đợi...",
+    "Start Generating Video": "Bắt Đầu Tạo Video",
+    "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",
+    "LLM Provider": "Nhà Cung Cấp LLM",
+    "API Key": "Khóa API (:red[Bắt Buộc])",
+    "Base Url": "Url Cơ Bản",
+    "Account ID": "ID Tài Khoản (Lấy từ bảng điều khiển Cloudflare)",
+    "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**",
+    "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"
+  }
+}

webui/i18n/zh.json

@@ -19,12 +19,12 @@
     "Video Ratio": "视频比例",
     "Portrait": "竖屏 9:16（抖音视频）",
     "Landscape": "横屏 16:9（西瓜视频）",
-    "Clip Duration": "视频片段最大时长(秒)",
+    "Clip Duration": "视频片段最大时长(秒)（**不是视频总长度**，是指每个**合成片段**的长度）",
     "Number of Videos Generated Simultaneously": "同时生成视频数量",
     "Audio Settings": "**音频设置**",
-    "Speech Synthesis": "朗读声音（:red[尽量与文案语言保持一致]）",
+    "Speech Synthesis": "朗读声音（:red[**与文案语言保持一致**。注意：V2版效果更好，但是需要API KEY]）",
-    "Speech Region": "服务区域(:red[必填，[点击获取](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Region": "服务区域 (:red[必填，[点击获取](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
-    "Speech Key": "API Key(:red[必填，[点击获取](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
+    "Speech Key": "API Key (:red[必填，密钥1 或 密钥2 均可 [点击获取](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
     "Speech Volume": "朗读音量（1.0表示100%）",
     "Male": "男性",
     "Female": "女性",
@@ -50,10 +50,12 @@
     "Generating Video": "正在生成视频，请稍候...",
     "Start Generating Video": "开始生成视频",
     "Video Generation Completed": "视频生成完成",
+    "Video Generation Failed": "视频生成失败",
     "You can download the generated video from the following links": "你可以从以下链接下载生成的视频",
     "Basic Settings": "**基础设置** (:blue[点击展开])",
     "Language": "界面语言",
-    "Pexels API Key": "Pexels API Key (:red[必填] [点击获取](https://www.pexels.com/api/))",
+    "Pexels API Key": "Pexels API Key ([点击获取](https://www.pexels.com/api/))",
+    "Pixabay API Key": "Pixabay API Key ([点击获取](https://pixabay.com/api/docs/#api_search_videos))",
     "LLM Provider": "大模型提供商",
     "API Key": "API Key (:red[必填，需要到大模型提供商的后台申请])",
     "Base Url": "Base Url (可选)",
@@ -61,6 +63,16 @@
     "Model Name": "模型名称 (:blue[需要到大模型提供商的后台确认被授权的模型名称])",
     "Please Enter the LLM API Key": "请先填写大模型 **API Key**",
     "Please Enter the Pexels API Key": "请先填写 **Pexels API Key**",
-    "Get Help": "有任何问题或建议，可以加入 **微信群** 求助或讨论：https://harryai.cc"
+    "Please Enter the Pixabay API Key": "请先填写 **Pixabay API Key**",
+    "Get Help": "有任何问题或建议，可以加入 **微信群** 求助或讨论：https://harryai.cc",
+    "Video Source": "视频来源",
+    "TikTok": "抖音 (TikTok 支持中，敬请期待)",
+    "Bilibili": "哔哩哔哩 (Bilibili 支持中，敬请期待)",
+    "Xiaohongshu": "小红书 (Xiaohongshu 支持中，敬请期待)",
+    "Local file": "本地文件",
+    "Play Voice": "试听语音合成",
+    "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"
   }
 }