Update app.py

app.py

@@ -107,7 +107,13 @@ def interact_with_together_api(messages, model_link):
 
 # Create sidebar with model selection dropdown and reset button
 selected_model = st.sidebar.selectbox("Select Model", list(model_links.keys()))
-st.sidebar.button('Reset Chat', on_click=reset_conversation)
+reset_button = st.sidebar.button('Reset Chat', on_click=reset_conversation)
+
+# Add diagnostic feature to the sidebar
+diagnosis = analyze_diagnosis(st.session_state.messages, model_links[selected_model])
+if diagnosis:
+    st.sidebar.subheader("Diagnosis")
+    st.sidebar.write(diagnosis)
 
 # Add cautionary message about testing phase at the bottom of the sidebar
 st.sidebar.markdown("**Note**: This model is still in the beta phase. Responses may be inaccurate or undesired. Use it cautiously, especially for critical issues.")
@@ -115,48 +121,3 @@ st.sidebar.markdown("**Note**: This model is still in the beta phase. Responses
 # Add logo and text to the sidebar
 st.sidebar.image("https://assets.isu.pub/document-structure/221118065013-a6029cf3d563afaf9b946bb9497d45d4/v1/2841525b232adaef7bd0efe1da81a4c5.jpeg", width=200)
 st.sidebar.write("A product proudly developed by Kisii University")
-
-# Initialize chat history
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-    st.session_state.message_count = 0
-    st.session_state.ask_intervention = False
-
-# Display chat messages from history on app rerun
-for message in st.session_state.messages:
-    with st.chat_message(message[0]):
-        st.markdown(message[1])
-
-# Accept user input
-if prompt := st.chat_input(f"Hi, I'm {selected_model}, let's chat"):
-    # Display user message in chat message container
-    with st.chat_message("user"):
-        st.markdown(prompt)
-    # Add user message to chat history
-    st.session_state.messages.append(("user", prompt))
-    st.session_state.message_count += 1
-
-    # Interact with the selected model
-    assistant_response = interact_with_together_api(st.session_state.messages, model_links[selected_model])
-
-    if assistant_response is not None:
-        # Display assistant response in chat message container
-        with st.empty():
-            st.markdown("AI is typing...")
-            st.empty()
-            st.markdown(assistant_response)
-            # Check if intervention is needed based on bot response
-            if any(keyword in prompt.lower() for keyword in ["human", "therapist", "someone", "died", "death", "help", "suicide", "suffering", "crisis", "emergency", "support", "depressed", "anxiety", "lonely", "desperate", "struggling", "counseling", "distressed", "hurt", "pain", "grief", "trauma", "abuse", "danger", "risk", "urgent", "need assistance"]):
-                # Intervention logic here
-                if not st.session_state.ask_intervention:
-                    if st.button("After the analysing our session you may need some extra help, so you can reach out to a certified therapist at +25493609747 Name: Ogega feel free to talk"):
-                        st.write("You can reach out to a certified therapist at +25493609747.")
-        
-        # Add assistant response to chat history
-        st.session_state.messages.append(("assistant", assistant_response))
-
-# Add diagnostic feature to the sidebar
-diagnosis = analyze_diagnosis(st.session_state.messages, model_links[selected_model])
-if diagnosis:
-    st.sidebar.subheader("Diagnosis")
-    st.sidebar.write(diagnosis)