supported llm: aliyun qianwen

README-en.md

@@ -38,7 +38,8 @@ https://reccloud.com
   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**,
+- [x] Supports integration with various models such as **OpenAI**, **moonshot**, **Azure**, **gpt4free**, **one-api**, *
+  *qianwen**
   and more
 
 ### Future Plans 📅
@@ -258,7 +259,8 @@ Thanks to [@wangwenqiao666](https://github.com/wangwenqiao666) for their researc
 
 ## Feedback & Suggestions 📢
 
-- You can submit an [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues) or a [pull request](https://github.com/harry0703/MoneyPrinterTurbo/pulls).
+- You can submit an [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues) or
+  a [pull request](https://github.com/harry0703/MoneyPrinterTurbo/pulls).
 
 ## Reference Projects 📚
 

README.md

@@ -31,7 +31,7 @@
 - [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** 等多种模型接入
+- [x] 支持 **OpenAI**、**moonshot**、**Azure**、**gpt4free**、**one-api**、**通义千问** 等多种模型接入
 
 ### 后期计划 📅
 

app/services/llm.py

@@ -2,14 +2,12 @@ import logging
 import re
 import json
 from typing import List
-import g4f
 from loguru import logger
 from openai import OpenAI
 from openai import AzureOpenAI
 from app.config import config
 
 
-
 def _generate_response(prompt: str) -> str:
     content = ""
     llm_provider = config.app.get("llm_provider", "openai")
@@ -18,7 +16,7 @@ def _generate_response(prompt: str) -> str:
         model_name = config.app.get("g4f_model_name", "")
         if not model_name:
             model_name = "gpt-3.5-turbo-16k-0613"
-
+        import g4f
         content = g4f.ChatCompletion.create(
             model=model_name,
             messages=[{"role": "user", "content": prompt}],
@@ -57,21 +55,17 @@ def _generate_response(prompt: str) -> str:
             raise ValueError(f"{llm_provider}: model_name is not set, please set it in the config.toml file.")
         if not base_url:
             raise ValueError(f"{llm_provider}: base_url is not set, please set it in the config.toml file.")
-        
-
-        import dashscope 
 
         if llm_provider == "qwen":
+            import dashscope
             dashscope.api_key = api_key
             response = dashscope.Generation.call(
                 model=model_name,
-                messages=[{"role": "user", "content": prompt}]  
+                messages=[{"role": "user", "content": prompt}]
             )
-            content=response["output"]["text"]
+            content = response["output"]["text"]
-            print(content)
             return content.replace("\n", "")
 
-
         if llm_provider == "azure":
             client = AzureOpenAI(
                 api_key=api_key,

requirements.txt

@@ -12,4 +12,5 @@ aiohttp~=3.9.3
 urllib3~=2.2.1
 pillow~=9.5.0
 pydantic~=2.6.3
-g4f~=0.2.5.4
+g4f~=0.2.5.4
+dashscope~=1.15.0