Add Error Handling.

app.py

@@ -1,15 +1,27 @@
 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()
+
 # Load the pre-trained sentiment-analysis pipeline
-classifier = pipeline('sentiment-analysis')
+try:
+    classifier = pipeline('sentiment-analysis')
+except Exception as e:
+    st.error(f"Error loading pipeline: {e}")
+    st.stop()
 
 # Function to classify sentiment
 def classify_text(text):
-    result = classifier(text)[0]
-    return f"{result['label']} with score {result['score']}"
+    try:
+        result = classifier(text)[0]
+        return f"{result['label']} with score {result['score']}"
+    except Exception as e:
+        return f"Error classifying text: {e}"
 
 # Function to find an available port
 def find_free_port():