Delete app.py

app.py

@@ -1,80 +0,0 @@
-import streamlit as st
-import requests
-from bs4 import BeautifulSoup
-import urllib3
-import pandas as pd
-import tempfile
-
-def simple_web_scraper(url, scrape_option):
-    try:
-        # Create a PoolManager with urllib3 to handle SSL
-        http = urllib3.PoolManager()
-
-        # Send an HTTP request
-        response = http.request('GET', url)
-
-        # Check if the request was successful (status code 200)
-        if response.status == 200:
-            # Parse the HTML content of the page
-            soup = BeautifulSoup(response.data, 'html.parser')
-            
-            # Extract information from the HTML based on user's choice
-            if scrape_option == 'data':
-                # Extract all text content from the page
-                all_text = soup.get_text()
-                
-                # Prepare data for the table (split text by lines)
-                table_data = [{'Data': line.strip()} for line in all_text.split('\n') if line.strip()]
-                
-                # Display the data in a table
-                st.table(table_data)
-
-                # Save data to a temporary CSV file
-                df = pd.DataFrame(table_data)
-                csv_file = tempfile.NamedTemporaryFile(delete=False, suffix=".csv")
-                df.to_csv(csv_file.name, index=False)
-
-                # Provide a download button for the CSV file
-                st.download_button(
-                    label="Download Data as CSV",
-                    data=open(csv_file.name, "rb").read(),
-                    file_name="scraped_data.csv",
-                    mime="text/csv",
-                )
-            elif scrape_option == 'links':
-                # Example: Extract all the links on the page
-                links = soup.find_all('a')
-                
-                # Prepare data for the table
-                table_data = [{'Links': link.get('href')} for link in links if link.get('href')]
-                
-                # Display the data in a table
-                st.table(table_data)
-
-                # Save links to a temporary CSV file
-                df = pd.DataFrame(table_data)
-                csv_file = tempfile.NamedTemporaryFile(delete=False, suffix=".csv")
-                df.to_csv(csv_file.name, index=False)
-
-                # Provide a download button for the CSV file
-                st.download_button(
-                    label="Download Links as CSV",
-                    data=open(csv_file.name, "rb").read(),
-                    file_name="scraped_links.csv",
-                    mime="text/csv",
-                )
-            else:
-                st.write('Invalid scrape option. Please choose "data" or "links".')
-        else:
-            st.write(f'Error: {response.status}')
-    
-    except Exception as e:
-        st.write(f'An error occurred: {e}')
-
-# Streamlit UI
-st.title("Web Scraping Tool")
-website_url = st.text_input("Enter the URL to scrape:")
-scrape_option = st.selectbox("Select what to scrape:", ['data', 'links'])
-
-if st.button("Scrape"):
-    simple_web_scraper(website_url, scrape_option)