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import os | |
import openai | |
import gradio as gr | |
import requests | |
from bs4 import BeautifulSoup | |
from conversation import Conversation | |
try: | |
from dotenv import load_dotenv | |
load_dotenv() | |
except ImportError: | |
pass # In production, python-dotenv may not be installed | |
openai.api_key = os.getenv("OPEN_API_KEY") | |
with gr.Blocks(css="footer {visibility: hidden}", title="chatWEBPAGE") as demo: | |
conversation = Conversation() | |
gr.Markdown("Enter your website url, then ask the AI a question.") | |
with gr.Row(): | |
with gr.Column(scale=2): | |
url = gr.Textbox(label="1. Enter a webpage URL to chat about") | |
url.change(fn=conversation.get_data, inputs=url) | |
with gr.Column(scale=3): | |
gr.Examples([ | |
"https://www.bbc.com/news/business-64937251", | |
"https://www.ycombinator.com/", | |
"https://news.ycombinator.com/", | |
"https://www.producthunt.com/posts/chatwebpage"], inputs=[url]) | |
chatbot = gr.Chatbot().style(height=150) | |
msg = gr.Textbox(label="2. Chat with AI about the webpage") | |
msg.submit(conversation.user, [msg, chatbot], [msg, chatbot]).success(conversation.bot, chatbot, chatbot) | |
gr.Examples(["Please summarise the webpage", "What is the tone of the webpage?", "Tell me your favorite part of the webpage"], inputs=[msg]) | |
with gr.Row(): | |
with gr.Column(scale=2): | |
clear_button = gr.Button("Clear") | |
clear_button.click(lambda: None, None, chatbot) | |
with gr.Column(scale=4): | |
submit_button = gr.Button("Submit") | |
submit_button.click(conversation.user, [msg, chatbot], [msg, chatbot]).success( | |
conversation.bot, chatbot, chatbot | |
) | |
if __name__ == "__main__": | |
# demo.queue() | |
demo.launch() |