Update app.py

app.py

@@ -70,65 +70,3 @@ if uploaded_file:
         except Exception as e:
             st.error(f"An error occurred: {e}")
 
-
-# # Install dependencies
-# # pip install streamlit PyPDF2 groq
-
-# import streamlit as st
-# from PyPDF2 import PdfReader
-# import os
-# from groq import Groq
-
-# # Set the API key
-# os.environ["GROQ_API_KEY"] = "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"
-
-# # Initialize Groq client
-# client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
-
-# # Streamlit App
-# st.title("Pakistani Constitution Q&A App")
-# st.write("Upload the PDF of the Pakistani Constitution and ask questions about it.")
-
-# # Upload PDF
-# uploaded_file = st.file_uploader("Upload PDF", type="pdf")
-# if uploaded_file:
-#     # Extract text from the PDF
-#     pdf_reader = PdfReader(uploaded_file)
-#     constitution_text = ""
-#     for page in pdf_reader.pages:
-#         constitution_text += page.extract_text()
-
-#     st.success("PDF Uploaded and Processed Successfully!")
-    
-#     # Split text into chunks to handle token limits
-#     chunk_size = 5000  # Number of characters per chunk
-#     chunks = [constitution_text[i:i+chunk_size] for i in range(0, len(constitution_text), chunk_size)]
-
-#     # Let user select a chunk to ask questions about
-#     st.write("The document is too large, so it's split into smaller parts. Select one to ask questions:")
-#     selected_chunk = st.selectbox("Select a part of the document:", range(len(chunks)))
-#     current_chunk = chunks[selected_chunk]
-
-#     st.write("You selected part:", selected_chunk + 1)
-#     st.text_area("Selected Text Segment", current_chunk, height=200)
-
-#     # Ask a question about the selected chunk
-#     user_question = st.text_input("Ask a question about the selected part:")
-
-#     if user_question:
-#         st.write("Processing your question...")
-        
-#         # Send the selected chunk and question to Groq API
-#         try:
-#             chat_completion = client.chat.completions.create(
-#                 messages=[
-#                     {"role": "user", "content": f"Context: {current_chunk}\nQuestion: {user_question}"}
-#                 ],
-#                 model="llama3-8b-8192",
-#             )
-#             # Display the answer
-#             answer = chat_completion.choices[0].message.content
-#             st.write("### Answer:")
-#             st.write(answer)
-#         except Exception as e:
-#             st.error(f"An error occurred: {e}")