Update app.py

app.py

@@ -80,7 +80,7 @@ def load_models():
                                      model="meta-llama/Llama-3.2-1B-Instruct",
                                      device=0,  # Use GPU if available
                                      torch_dtype=torch.bfloat16,)  # Use FP16 for efficiency
-        st.success("Llama 3.2 summarization model loaded successfully!")
+        #st.success("Llama 3.2 summarization model loaded successfully!")
 
         # Display success message that will disappear after 5 seconds
         Thread(
@@ -98,7 +98,7 @@ def load_models():
         score_pipe = pipeline("text-classification", 
                               model="cardiffnlp/twitter-roberta-base-sentiment-latest", 
                               device=0 if torch.cuda.is_available() else -1)
-        st.success("Sentiment analysis model loaded successfully!")
+        #st.success("Sentiment analysis model loaded successfully!")
 
         # Display success message that will disappear after 5 seconds
         Thread(