Merge pull request #27 from paulparkinson/main

added insert and expsoure via rest endpoint of q+a results,, comparmentid from env, repeated queries, ai/eye/etc commands, fixes to ragchat

python-rag-chatbot/oracle_bot_exp.py

@@ -1,25 +1,23 @@
-#
-# Streamlit App to demo OCI AI GenAI
-# this is the main code, with the UI
-#
 import streamlit as st
+import time
+import traceback
+import sys
 
-# this function initialise the rag chain, creating retriever, llm and chain
 from init_rag_streamlit_exp import initialize_rag_chain, get_answer
 
-#
-# Configs
-#
+from streamlit_feedback import streamlit_feedback
 
+def process_feedback(feedback_value):
+    st.write("Feedback value:", feedback_value)
+    with open("feedback.txt", "a", encoding="utf-8") as f:
+        f.write(f"{feedback_value}\n")
 
 def reset_conversation():
     st.session_state.messages = []
+    st.session_state.feedback_rendered = False
+    st.session_state.feedback_key = 0
 
-
-#
-# Main
-#
-st.title("Oracle Database AI Bot powered by RAG")
+st.title("Developing an AI bot powered by RAG and Oracle Database")
 
 # Added reset button
 st.button("Clear Chat History", on_click=reset_conversation)
@@ -43,18 +41,33 @@ def reset_conversation():
     # Add user message to chat history
     st.session_state.messages.append({"role": "user", "content": question})
 
-    # here we call OCI genai...
-
     try:
-        print("...")
         response = get_answer(rag_chain, question)
 
-        # Display assistant response in chat message container
         with st.chat_message("assistant"):
             st.markdown(response)
 
-        # Add assistant response to chat history
+            with st.container():
+                st.markdown("How was my response?")
+
+                if not st.session_state.feedback_rendered:
+                    def _submit_feedback(feedback_value, *args, **kwargs):
+                        print("Feedback submitted:", feedback_value, file=sys.stderr)  # Redirect to stderr
+                        process_feedback(feedback_value)
+                        st.session_state.feedback_rendered = False
+
+                    feedback_component = streamlit_feedback(
+                        feedback_type="faces",
+                        on_submit=_submit_feedback,
+                        key=f"feedback_{st.session_state.feedback_key}",
+                        optional_text_label="Please provide some more information",
+                        args=["✅"]
+                    )
+                    st.session_state.feedback_key += 1
+                    st.session_state.feedback_rendered = True
+
         st.session_state.messages.append({"role": "assistant", "content": response})
 
     except Exception as e:
-        st.error("An error occurred: " + str(e))
+        st.error(f"An error occurred: {e}")
+        traceback.print_exc()