Create previous_chats.py

pages/previous_chats.py

@@ -0,0 +1,62 @@
+# pages/previous_chats.py
+
+import streamlit as st
+from datetime import datetime
+
+def show_previous_chats_tab(storage_manager):
+    """Display previous chats tab"""
+    st.title("📚 Previous Analysis Sessions")
+    
+    # Get all chats
+    chats = storage_manager.get_all_chats()
+    
+    if not chats:
+        st.info("No previous analysis sessions found.")
+        return
+        
+    # Display chats
+    for chat in chats:
+        with st.expander(f"Session from {datetime.fromisoformat(chat['timestamp']).strftime('%Y-%m-%d %H:%M')}"):
+            # Show associated images if any
+            if 'images' in chat:
+                cols = st.columns(min(len(chat['images']), 3))
+                for idx, img_data in enumerate(chat['images']):
+                    cols[idx % 3].image(img_data, caption=f"Chart {idx + 1}")
+            
+            # Show analysis history
+            for entry in chat.get('chat_history', []):
+                if entry.get('analysis_type') in ['Individual', 'Correlated Analysis']:
+                    st.markdown("**Initial Analysis:**")
+                elif entry.get('question'):
+                    st.markdown(f"**Follow-up Question:** {entry['question']}")
+                
+                st.markdown(entry.get('analysis', ''))
+                st.markdown("---")
+            
+            # Add option to continue analysis
+            if st.button("Continue This Analysis", key=f"continue_{chat['id']}"):
+                # Load this chat's context into current session
+                st.session_state.chat_history = chat.get('chat_history', [])
+                st.session_state.current_analysis = chat.get('chat_history', [])[-1]['analysis']
+                if 'images' in chat:
+                    st.session_state.current_images = chat['images']
+                st.success("Context loaded! Switch to Chart Analysis tab to continue.")
+
+            # Add export option
+            if st.button("Export Analysis", key=f"export_{chat['id']}"):
+                # Create markdown export
+                export_text = f"# Analysis Session {chat['timestamp']}\n\n"
+                for entry in chat.get('chat_history', []):
+                    if entry.get('analysis_type'):
+                        export_text += f"\n## {entry['analysis_type']}\n"
+                    if entry.get('question'):
+                        export_text += f"\n### Question: {entry['question']}\n"
+                    export_text += f"\n{entry.get('analysis', '')}\n"
+                
+                # Provide download button
+                st.download_button(
+                    "Download Analysis",
+                    export_text,
+                    file_name=f"analysis_{chat['id']}.md",
+                    mime="text/markdown"
+                )