auto-draft / app.py
sc_ma
Add cache.
ec969c9
import gradio as gr
import openai
from auto_backgrounds import generate_backgrounds
# todo:  5. Add more functions in this demo.
def clear_inputs(text1, text2):
return ("", "")
def wrapped_generate_backgrounds(title, description):
if title == "Deep Reinforcement Learning":
return "output.zip"
else:
return generate_backgrounds(title, description)
with gr.Blocks() as demo:
gr.Markdown('''
# Auto-Draft: 文献整理辅助工具-限量免费使用
本Demo提供对[Auto-Draft](https://github.com/CCCBora/auto-draft)的auto_backgrounds功能的测试。通过输入一个领域的名称(比如Deep Reinforcement Learning),
即可自动对这个领域的相关文献进行归纳总结.
生成一篇论文,需要使用我GPT4的API,大概每篇15000 Tokens(大约0.5到0.8美元).
我为大家提供了30刀的额度上限,希望大家有明确需求再使用. 如果有更多需求,建议本地部署, 使用自己的API KEY!
## 用法
输入一个领域的名称(比如Deep Reinforcement Learning), 点击Submit, 等待大概十分钟, 下载output.zip,在Overleaf上编译浏览.
''')
with gr.Row():
with gr.Column():
title = gr.Textbox(value="Deep Reinforcement Learning", lines=1, max_lines=1, label="Title")
description = gr.Textbox(lines=5, label="Description (Optional)")
with gr.Row():
clear_button = gr.Button("Clear")
submit_button = gr.Button("Submit")
with gr.Column():
file_output = gr.File()
clear_button.click(fn=clear_inputs, inputs=[title, description], outputs=[title, description])
submit_button.click(fn=wrapped_generate_backgrounds, inputs=[title, description], outputs=file_output)
demo.queue(concurrency_count=1, max_size=5, api_open=False)
demo.launch()