BlogGenerator / app.py
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Update app.py
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import asyncio
from gnews import GNews
import fastapi_poe as fp
import gradio as gr
import os
# 初始化GNews
google_news = GNews(language='en', country='US')
api_key = os.getenv('API_KEY') # 确保替换为你的API密钥
# 定义异步函数来生成每个新闻的博客文章
async def generate_blog_for_news(article, index):
news_text = f"Title: {article['title']}\nDescription: {article['description']}\nURL: {article['url']}\n\nPlease write a blog post about this news."
message = fp.ProtocolMessage(role="user", content=news_text)
complete_text = ''
async for partial in fp.get_bot_response(messages=[message], bot_name="Mixtral-8x7B-Chat", api_key=api_key):
complete_text += partial.text
file_path = f'Blog_Article_{index}.txt'
with open(file_path, 'w') as file:
file.write(complete_text)
return file_path
# 运行异步函数为每条新闻生成博客文章,并收集文件路径
async def main():
top_news = google_news.get_top_news()
top_10_news = top_news[:1] # 获取前2条新闻来生成博客
file_paths = await asyncio.gather(*(generate_blog_for_news(article, index) for index, article in enumerate(top_10_news, 1)))
return file_paths
# 将异步main函数包装为同步函数,以便Gradio使用
def run_main():
return asyncio.run(main())
# Gradio界面函数,修改以返回文件路径
def create_blog():
file_paths = run_main()
return file_paths
# 设置Gradio界面
iface = gr.Interface(
fn=create_blog,
inputs=None,
outputs=gr.File(label="Download Blog Posts"),
title="自动博客生成器",
description="点击按钮生成博客文章,并提供下载链接!"
)
# 运行Gradio app
if __name__ == "__main__":
iface.launch()