Update app.py

app.py

@@ -1,75 +1,82 @@
-#src/app.py
-
 import streamlit as st
-from utils.session_state import initialize_session_state
-from utils.database import (
-    get_documents, 
-    insert_document, 
-    display_vector_store_info, 
-    handle_document_upload,
-    create_connection,
-    create_tables
-)
 from components.chat import display_chat_interface
-from components.knowledge_base import display_knowledge_base
-from config.settings import APP_SETTINGS
-
-
-def initialize_database():
-    """Initialize database connection and tables."""
-    if 'db_conn' not in st.session_state:
-        # Initialize database connection
-        conn = create_connection('rfp_analysis.db')
-        if conn is not None:
-            # Create tables
-            create_tables(conn)
-            # Store connection in session state
-            st.session_state.db_conn = conn
-        else:
-            st.error("Error! Cannot create the database connection.")
+from utils.database import display_vector_store_info, handle_document_upload
+import time
 
+def display_example_questions():
+    examples = [
+        "📊 Summarize the main points of the document",
+        "📝 Draft a 'Why Us' section based on the document",
+        "🎯 Extract key success metrics and outcomes",
+        "💡 What are the innovative solutions mentioned?",
+        "🤝 Analyze the partnership benefits described"
+    ]
+    return examples
 
 def main():
-    # Initialize database connection
-    initialize_database()
-    
-    st.title("🤖 SYNAPTYX - RFP Analysis Agent")
-    st.markdown("Upload RFP documents, analyze requirements, and get intelligent answers powered by AI.")
+    # Set up the page configuration
+    st.set_page_config(layout="wide", page_title="SYNAPTYX - RFP Analysis Agent")
 
-    # Document Upload Section
-    st.header("📄 Upload Documents", anchor=False)
-    uploaded_files = st.file_uploader(
-        "Upload PDF documents",
-        type=['pdf'],
-        accept_multiple_files=True,
-        help="Limit 200MB per file • PDF"
-    )
+    # Initialize session state for UI control
+    if 'chat_ready' not in st.session_state:
+        st.session_state.chat_ready = False
 
-    # Handle document upload when files are uploaded
-    if uploaded_files:
-        # Only process if files haven't been processed yet
-        if 'processed_files' not in st.session_state or uploaded_files != st.session_state.processed_files:
-            handle_document_upload(uploaded_files)
-            # Store the processed files to avoid reprocessing
-            st.session_state.processed_files = uploaded_files
+    # Sidebar for document management
+    with st.sidebar:
+        st.title("📚 Document Manager")
+        
+        # Upload Section
+        st.header("Upload Documents", anchor=False)
+        uploaded_files = st.file_uploader(
+            "Upload PDF documents",
+            type=['pdf'],
+            accept_multiple_files=True,
+            help="Limit 200MB per file • PDF"
+        )
 
-    # Knowledge Base Section
-    st.header("📚 Knowledge Base", anchor=False)
-    
-    # Display vector store information
-    display_vector_store_info()
-    
-    # Display available documents if any are uploaded
-    if uploaded_files:
-        st.subheader("Available Documents")
-        for doc in uploaded_files:
-            st.write(f"• {doc.name}")
+        # Process uploads
+        if uploaded_files:
+            if 'processed_files' not in st.session_state or uploaded_files != st.session_state.processed_files:
+                with st.spinner("Processing documents..."):
+                    handle_document_upload(uploaded_files)
+                    st.session_state.processed_files = uploaded_files
+                    st.session_state.chat_ready = True
+                    time.sleep(1)
+                    st.rerun()
 
-    # Chat Interface
-    if st.session_state.get('vector_store'):
-        display_chat_interface()
+        # Knowledge Base Status
+        if st.session_state.get('vector_store'):
+            st.success("✅ Documents ready for analysis")
+            display_vector_store_info()
+        
+        # Document List
+        if uploaded_files:
+            st.subheader("📑 Uploaded Documents")
+            for doc in uploaded_files:
+                st.write(f"• {doc.name}")
+
+    # Main chat area
+    if not st.session_state.chat_ready:
+        # Welcome screen
+        st.title("🤖 SYNAPTYX - RFP Analysis Agent")
+        st.markdown("### Welcome to your AI-powered RFP analysis assistant!")
+        
+        col1, col2 = st.columns(2)
+        with col1:
+            st.markdown("""
+            #### Getting Started:
+            1. Upload your RFP documents using the sidebar
+            2. Wait for the processing to complete
+            3. Start chatting with your documents!
+            """)
+        
+        with col2:
+            st.markdown("#### Example Questions:")
+            for example in display_example_questions():
+                st.markdown(f"• {example}")
     else:
-        st.info("📝 Please upload documents first.")
+        # Clean chat interface
+        display_chat_interface()
 
 if __name__ == "__main__":
     main()