Delete app.py

app.py

@@ -1,104 +0,0 @@
-import streamlit as st
-import os
-from bs4 import BeautifulSoup
-import urllib3
-import pandas as pd
-import tempfile
-from groq import Groq
-
-# Initialize Groq client
-client = Groq(api_key=os.environ.get('GroqApi'))
-
-# Initialize session state for scraped data
-if "scraped_data" not in st.session_state:
-    st.session_state.scraped_data = []
-
-def scrape_web_data(url, scrape_option):
-    """Scrape data from the given URL based on the 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')
-
-            # Prepare the output data
-            if scrape_option == 'data':
-                all_text = soup.get_text()
-                return [{'Data': line.strip()} for line in all_text.split('\n') if line.strip()]
-            elif scrape_option == 'links':
-                links = soup.find_all('a')
-                return [{'Links': link.get('href')} for link in links if link.get('href')]
-        else:
-            st.write(f"Error: {response.status}")
-    except Exception as e:
-        st.write(f"An error occurred: {e}")
-    return []
-
-def process_query_with_groq(query, data):
-    """Process the user's query with Groq based on the scraped data."""
-    if not data:
-        return "No data available to process. Please scrape data first."
-
-    try:
-        # Combine the scraped data into a single text block
-        combined_text = "\n".join([str(item) for sublist in data for item in sublist.values()])
-
-        # Add the query context
-        prompt = f"Context: {combined_text}\n\nUser Query: {query}\nAnswer:"
-
-        # Call Groq API
-        response = client.chat.completions.create(
-            messages=[
-                {"role": "user", "content": prompt}
-            ],
-            model="llama3-8b-8192",
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"Error processing query with Groq: {e}"
-
-# Streamlit UI
-st.title("Web Scraping and Query Tool")
-
-# Step 1: Scraping
-st.subheader("Step 1: Scrape Data")
-website_url = st.text_input("Enter the URL to scrape:")
-scrape_option = st.selectbox("Select what to scrape:", ['data', 'links'])
-
-if st.button("Scrape Data"):
-    scraped_data = scrape_web_data(website_url, scrape_option)
-    if scraped_data:
-        st.session_state.scraped_data = scraped_data
-        st.success(f"Scraping completed. {len(scraped_data)} items found.")
-
-        # Save data to a temporary CSV file
-        df = pd.DataFrame(scraped_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 Scraped Data as CSV",
-            data=open(csv_file.name, "rb").read(),
-            file_name="scraped_data.csv",
-            mime="text/csv",
-        )
-    else:
-        st.warning("No data found. Please check the URL or scrape option.")
-
-# Step 2: Querying
-st.subheader("Step 2: Ask a Query")
-user_query = st.text_input("Enter your query:")
-if st.button("Get Answer"):
-    if user_query.strip() == "":
-        st.warning("Please enter a valid query.")
-    else:
-        answer = process_query_with_groq(user_query, st.session_state.scraped_data)
-        st.write("**Answer:**")
-        st.write(answer)