from transformers import pipeline
from bs4 import BeautifulSoup
import requests
import gradio as gr

def extract_text_from_url(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    return soup.get_text()

def answer_question(context, question):
    qa_pipeline = pipeline("question-answering")
    answer = qa_pipeline({
        'context': context,
        'question': question
    })
    return answer['answer']

def app(url, question):
    webpage_text = extract_text_from_url(url)
    answer = answer_question(webpage_text, question)
    return answer

iface = gr.Interface(fn=app, inputs=["text", "text"], outputs="text")
iface.launch()