app.py

import openai
import gradio as gr
import requests
from bs4 import BeautifulSoup

openai.api_key = "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"

# messages = [
#     {"role": "system", "content": "You are a helpful and kind AI Assistant."},
# ]

url = 'https://www.nerdwallet.com/article/travel/how-much-are-my-united-miles-worth'

def get_data(url):
  html = requests.get(url).text
  doc = BeautifulSoup(html, 'html.parser')

  headings_1 = [e.text for e in doc.find_all('h1')]
  headings_2 = [e.text for e in doc.find_all('h2')]
  headings_3 = [e.text for e in doc.find_all('h3')]
  paragraphs = [e.text for e in doc.find_all('p')]
  spans = [e.text for e in doc.find_all('span')]

  messages = []
  messages.append({'role': 'system', 'content': "You are a helpful assistant that must answer questions about a website. The website data will be submitted to you shortly."})
  messages.append({'role': 'system', 'content': f"here are the h1s - {headings_1}"})
  messages.append({'role': 'system', 'content': f"here are the h2s - {headings_2}"})
  messages.append({'role': 'system', 'content': f"here are the h3s - {headings_3}"})
  messages.append({'role': 'system', 'content': f"here are the paragraphs - {paragraphs}"})
  messages.append({'role': 'system', 'content': f"here are the spans - {spans}"})
  return messages

def chatbot(input):
    if input:
        messages.append({"role": "user", "content": input})
        chat = openai.ChatCompletion.create(
            model="gpt-3.5-turbo", messages=messages
        )
        reply = chat.choices[0].message.content
        messages.append({"role": "assistant", "content": reply})
        return reply
    
messages = get_data(url)
inputs = gr.inputs.Textbox(lines=7, label="Chat with AI")
outputs = gr.outputs.Textbox(label="Reply")

gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="Chattosite AI Chatbot",
             description="Ask anything you want",
             theme="compact").launch(share=True)