Update app.py

app.py

@@ -39,8 +39,8 @@ if user_input:
     # Run sentiment analysis to check for distress
     sentiment = sentiment_analysis(user_input)[0]
 
-    # Generate empathetic response (model generates responses with empathy)
-    response = conversational_bot(user_input, max_length=150, num_return_sequences=1, temperature=0.9, top_k=50)[0]['generated_text']
+    # Generate empathetic response with increased length and more context
+    response = conversational_bot(user_input, max_length=300, num_return_sequences=1, temperature=0.9, top_k=50)[0]['generated_text']
 
     # Ensure response does not repeat what the user said, and is supportive
     if user_input.lower() in response.lower():
@@ -48,13 +48,13 @@ if user_input:
     
     # Check if the response is too similar to the previous one, if so, generate a new one
     if response == st.session_state.previous_response:
-        response = conversational_bot(user_input, max_length=150, num_return_sequences=1, temperature=0.9, top_k=50)[0]['generated_text']
+        response = conversational_bot(user_input, max_length=300, num_return_sequences=1, temperature=0.9, top_k=50)[0]['generated_text']
     
     # Store the response for future comparison
     st.session_state.previous_response = response
 
     # Display response
-    st.text_area("Bot's Response:", response, height=150)
+    st.text_area("Bot's Response:", response, height=250)
 
     # Text-to-speech output
     tts = gTTS(response, lang='en')