Update app.py

app.py

@@ -15,30 +15,17 @@ model.to(device)
 st.title("Mental Health Chatbot with T5")
 
 def generate_response(input_text):
-    # Add conversational context to input
-    input_text = f"You are a helpful assistant. {input_text}"
-
-    # Tokenize input text
-    input_ids = tokenizer.encode(input_text, return_tensors="pt").to(device)
-    
-    # Generate a response from the model with advanced generation settings
+    input_ids = tokenizer.encode(input_text, return_tensors='pt')
     outputs = model.generate(input_ids,
-                             max_length=100,  # max length of the output sequence
-                             num_beams=5,  # Beam search for better results
-                             top_p=0.95,  # Top-p sampling for more variety
-                             temperature=0.7,  # Temperature controls randomness
-                             no_repeat_ngram_size=2,  # Prevent repetition of n-grams
-                             pad_token_id=tokenizer.eos_token_id)  # Padding token to avoid padding tokens being part of the output
-    
-    # Decode the model's output to a readable string
-    bot_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-    return bot_output
-
-# Create input box for user to type a message
-user_input = st.text_input("You: ", "")
+                             min_length=5,
+                             max_length=300,
+                             do_sample=True, num_beams=5, no_repeat_ngram_size=2)
+    generated_text = tokenizer.decode(
+        outputs[0], skip_special_tokens=True)
+    return generated_text
+
+prompt = st.chat_input(placeholder="Say Something!",key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)
+if prompt:
+   with st.chat_message(name="AI",avatar=None):
+    st.write(generate_response(prompt))
 
-if user_input:
-    # Generate and display the bot's response
-    response = generate_response(user_input)
-    st.write(f"Bot: {response}")