Update app.py

app.py

@@ -10,16 +10,16 @@ pipe = pipeline(
 )
 
 # Streamlit app
-st.title("Optimized Text Generation with Qwen Model")
+st.title("Qwen Model Chat")
 
 # Text input from the user
-user_input = st.text_input("Enter your message:", "Who are you?")
+user_input = st.text_input("Enter your message:", "Delete this and write your query?")
 
 # Generate text when the button is clicked
 if st.button("Generate"):
     messages = [{"role": "user", "content": user_input}]
     # Reduce max_new_tokens for faster generation
-    output = pipe(messages, max_new_tokens=30)  # Adjust as needed for speed
+    output = pipe(messages, max_new_tokens=150)  # Adjust as needed for speed
     generated_text = output[0]['generated_text']
     
     # Display the generated text