Update app.py

app.py

@@ -1,6 +1,9 @@
 from transformers import pipeline
 import gradio as gr
 
+# Initialize sentiment_analysis as None
+sentiment_analysis = None
+
 # Attempt to load the model and run a test prediction
 try:
     # Explicitly specify the model
@@ -14,6 +17,8 @@ except Exception as e:
 # Prediction function with error handling
 def predict_sentiment(text):
     try:
+        if sentiment_analysis is None:
+            raise ValueError("Model not loaded.")
         predictions = sentiment_analysis(text)
         return f"Label: {predictions[0]['label']}, Score: {predictions[0]['score']:.4f}"
     except Exception as e:
@@ -36,4 +41,5 @@ iface = gr.Interface(fn=predict_sentiment,
                      outputs="text",
                      examples=examples)
 
-iface.launch()
+if __name__ == "__main__":
+    iface.launch()