Add Model.

app.py

@@ -1,16 +1,13 @@
 import gradio as gr
+from transformers import pipeline
 import streamlit as st
 import socket
 
-try:
-    from transformers import pipeline
-except ImportError as e:
-    st.error(f"ImportError: {e}")
-    st.stop()
+# Specify the model name explicitly to avoid warnings
+model_name = "distilbert-base-uncased-finetuned-sst-2-english"
 
-# Load the pre-trained sentiment-analysis pipeline
 try:
-    classifier = pipeline('sentiment-analysis')
+    classifier = pipeline('sentiment-analysis', model=model_name)
 except Exception as e:
     st.error(f"Error loading pipeline: {e}")
     st.stop()