Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import streamlit as st
 import requests
 import os
@@ -12,6 +11,7 @@ def reset_conversation():
     Resets Conversation
     '''
     st.session_state.messages = []
+    st.session_state.ask_intervention = False
     return None
 
 # Define model links for the Addiction Recovery and Mental Health models
@@ -76,27 +76,14 @@ def interact_with_together_api(messages, model_link):
         st.error(f"Error communicating with the API: {e}")
         return None
 
-# 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)
-
-# 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.")
-
-# 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
+# Initialize chat history and session state attributes
 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])
+# Create sidebar with model selection dropdown and reset button
+selected_model = st.sidebar.selectbox("Select Model", list(model_links.keys()))
+reset_button = st.sidebar.button('Reset Chat', on_click=reset_conversation)
 
 # Accept user input
 if prompt := st.chat_input(f"Hi, I'm {selected_model}, let's chat"):
@@ -105,7 +92,6 @@ if prompt := st.chat_input(f"Hi, I'm {selected_model}, let's chat"):
         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])
@@ -116,12 +102,13 @@ if prompt := st.chat_input(f"Hi, I'm {selected_model}, let's chat"):
             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))
+        st.session_state.messages.append(("assistant", assistant_response))