import streamlit as st
import requests
from bs4 import BeautifulSoup
import pandas as pd

def scrape_data(url):
    try:
        # Perform the HTTP request to get the HTML content
        response = requests.get(url)
        response.raise_for_status()

        # Parse the HTML content using BeautifulSoup
        soup = BeautifulSoup(response.content, 'html.parser')

        # Extract the title and price
        title = soup.find("span", id="packagename").text.strip()
        price = soup.find("span", id="price1", class_="price product-priceshow").text.strip()

        # Create a DataFrame
        data = {
            "Title": [title],
            "Price": [price]
        }
        df = pd.DataFrame(data)

        return df

    except Exception as ex:
        st.error(f"An error occurred: {str(ex)}")
        return None

def main():
    st.title("Web Scraping with Streamlit")

    # URL input
    url = st.text_input("Enter URL")

    # Scrape button
    if st.button("Scrape Data"):
        if url:
            df = scrape_data(url)
            if df is not None:
                st.subheader("Scraping Results")
                st.dataframe(df)
        else:
            st.warning("Please enter a URL")

if __name__ == "__main__":
    main()