Update app.py

app.py

@@ -117,7 +117,7 @@ if "conversational_chain" not in st.session_state:
 languages = [
     "English", "Hindi", "Bengali", "Telugu", "Marathi", "Tamil", "Urdu", "Gujarati", "Malayalam", "Kannada",
     "Punjabi", "Odia", "Maithili", "Sanskrit", "Santali", "Kashmiri", "Nepali", "Dogri", "Manipuri", "Bodo",
-    "Sindhi", "Assamese", "Konkani", "Maithili", "Awadhi", "Rajasthani", "Haryanvi", "Bihari", "Chhattisgarhi", "Magahi"
+    "Sindhi", "Assamese", "Konkani", "Awadhi", "Rajasthani", "Haryanvi", "Bihari", "Chhattisgarhi", "Magahi"
 ]
 
 # Main interface
@@ -143,22 +143,6 @@ if "username" in st.session_state:
                     with st.chat_message("assistant"):
                         st.markdown(message["content"])
 
-    # Keep the chat interface scrollable
-    st.markdown(
-        """
-        <style>
-        .streamlit-expanderHeader {
-            display: none;
-        }
-        .chat-container {
-            max-height: 400px;
-            overflow-y: scroll;
-        }
-        </style>
-        """,
-        unsafe_allow_html=True
-    )
-
     # User input section for typing
     user_query = None  # Initialize user_query as None
 
@@ -187,6 +171,16 @@ if "username" in st.session_state:
                 response = st.session_state.conversational_chain({"question": user_query})
                 assistant_response = response["answer"]
 
+                # Parse and format RAG pipeline output
+                detailed_response = response.get("detailed_answer", {})
+                book = detailed_response.get("book", "Unknown")
+                chapter = detailed_response.get("chapter_number", "N/A")
+                verse = detailed_response.get("verse_number", "N/A")
+                shloka = detailed_response.get("shloka", "Not available")
+                translation = detailed_response.get("translation", "Not available")
+                commentary = detailed_response.get("commentary", "Not available")
+                summary = detailed_response.get("summary", "Not available")
+
                 # Save assistant's response to chat history in memory
                 st.session_state.chat_history.append({"role": "assistant", "content": assistant_response})
 
@@ -199,8 +193,17 @@ if "username" in st.session_state:
                 translator = GoogleTranslator(source="en", target=selected_language.lower())
                 translated_response = translator.translate(assistant_response)
 
+                # Display detailed RAG response
+                st.markdown(f"**Book:** {book}")
+                st.markdown(f"**Chapter:** {chapter}")
+                st.markdown(f"**Verse:** {verse}")
+                st.markdown(f"**Shloka:** {shloka}")
+                st.markdown(f"**Translation:** {translation}")
+                st.markdown(f"**Commentary:** {commentary}")
+                st.markdown(f"**Summary:** {summary}")
+
                 # Display translated response
                 st.markdown(f"**Translated Answer ({selected_language}):** {translated_response}")
 
         # Clear the input field after the query is processed
-        st.session_state.user_input = ""  # Reset the input field for next use
+        st.session_state.user_input = ""