Update app.py

app.py

@@ -74,21 +74,6 @@ def interact_with_together_api(messages, model_link):
         st.error(f"RequestException: {e}")
         return None
 
-# Function to perform sentiment analysis on the conversation
-def analyze_sentiment(messages):
-    sentiments = []
-    for _, message in messages:
-        blob = TextBlob(message)
-        sentiment_score = blob.sentiment.polarity
-        sentiments.append(sentiment_score)
-    
-    if sentiments:  # Check if sentiments list is not empty
-        average_sentiment = sum(sentiments) / len(sentiments)
-    else:
-        average_sentiment = 0  # Set default sentiment to 0 if no messages are available
-    
-    return average_sentiment
-
 # Initialize chat history and session state attributes
 if "messages" not in st.session_state:
     st.session_state.messages = []
@@ -104,25 +89,33 @@ reset_button = st.sidebar.button('Reset Chat', on_click=reset_conversation)
 
 # Accept user input with input validation
 max_input_length = 100  # Maximum allowed character limit for user input
-if prompt := st.chat_input(f"Hi, I'm {selected_model}, let's chat (Max {max_input_length} characters)"):
+if prompt := st.text_input(f"Hi, I'm {selected_model}, let's chat (Max {max_input_length} characters)"):
     if len(prompt) > max_input_length:
         st.error(f"Maximum input length exceeded. Please limit your input to {max_input_length} characters.")
     else:
-        with st.chat_message("user"):
-            st.markdown(prompt)
-        st.session_state.messages.append(("user", prompt))
-
-        # 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:
-            with st.empty():
-                st.markdown("AI is typing...")
-                st.empty()
-                with st.chat_message("assistant"):
-                    st.markdown(assistant_response)
-
-            st.session_state.messages.append(("assistant", assistant_response))
+        with st.empty():
+            if st.button("Send"):
+                with st.spinner("Sending..."):
+                    with st.chat_message("user"):
+                        st.markdown(prompt)
+                    st.session_state.messages.append(("user", prompt))
+
+                    # 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:
+                        with st.empty():
+                            st.markdown("AI is typing...")
+                            st.empty()
+                            with st.chat_message("assistant"):
+                                st.markdown(assistant_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"]):
+                                if not st.session_state.ask_intervention:
+                                    if st.button("After the analyzing 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.")
+
+                        st.session_state.messages.append(("assistant", assistant_response))
 
 # Display conversation insights
 st.sidebar.subheader("Conversation Insights")