Update pages/chatbot.py

pages/chatbot.py

@@ -1,49 +1,47 @@
-import streamlit as st
-from app import rag_query, process_feedback
-
-
-st.title("RAG Chatbot")
-
-# Initialize chat history
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-
-# Display chat messages from history on app rerun
-for i, message in enumerate(st.session_state.messages):
-    with st.chat_message(message["role"]):
-        st.markdown(message["content"])
-        if message["role"] == "assistant":
-                col1, col2 = st.columns([1,15])
-                with col1:
-                    if st.button("👍", key=f"thumbs_up_{i}"):
-                        process_feedback(st.session_state.messages[i-1]["content"], message["content"], True)
-                with col2:
-                    if st.button("👎", key=f"thumbs_down_{i}"):
-                        process_feedback(st.session_state.messages[i-1]["content"], message["content"], False)
-                   # st.session_state.messages.pop()  # Remove the last assistant message
-                    #st.rerun()  # Rerun the app to regenerate the response
-
-# React to user input
-if prompt := st.chat_input("What is your question?"):
-    # Display user message in chat message container
-    st.chat_message("user").markdown(prompt)
-    # Add user message to chat history
-    st.session_state.messages.append({"role": "user", "content": prompt})
-
-    response = rag_query(prompt)
-    
-    # Display assistant response in chat message container
-    with st.chat_message("assistant"):
-        st.markdown(response)
-    # Add assistant response to chat history
-    st.session_state.messages.append({"role": "assistant", "content": response})
-
-    # Rerun the app to display the feedback buttons
-    st.experimental_rerun()
-
-# Sidebar for additional controls
-with st.sidebar:
-    st.header("Options")
-    if st.button("Clear Chat History"):
-        st.session_state.messages = []
+import streamlit as st
+from app import rag_query, process_feedback
+
+
+st.title("🛡️ RAG Chatbot MB Ageas Life 🛡️")
+
+# Initialize session history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Hiển thị lại tin nhắn cũ
+for i, message in enumerate(st.session_state.messages):
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+        if message["role"] == "assistant":
+            col1, col2 = st.columns([1, 15])
+            with col1:
+                if st.button("👍", key=f"thumbs_up_{i}"):
+                    process_feedback(st.session_state.messages[i-1]["content"], message["content"], True)
+            with col2:
+                if st.button("👎", key=f"thumbs_down_{i}"):
+                    process_feedback(st.session_state.messages[i-1]["content"], message["content"], False)
+
+# Nhận input người dùng
+if prompt := st.chat_input("Ask me any question related to MBAL"):
+    # Hiển thị tin nhắn người dùng
+    st.chat_message("user").markdown(prompt)
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    memory.chat_memory.add_user_message(prompt)
+
+    # Gọi hàm RAG để trả lời
+    response = rag_query(prompt)
+
+    # Hiển thị tin nhắn chatbot
+    with st.chat_message("assistant"):
+        st.markdown(response)
+    st.session_state.messages.append({"role": "assistant", "content": response})
+    memory.chat_memory.add_ai_message(response)
+
+    st.rerun()
+
+# Sidebar for additional controls
+with st.sidebar:
+    st.header("Options")
+    if st.button("Clear Chat History"):
+        st.session_state.messages = []
         st.experimental_rerun()