Update app.py

app.py

@@ -3,8 +3,9 @@ from transformers import pipeline
 
 # Try loading the model with a fallback for any loading errors
 try:
-    # Load the pre-trained question-answering model from Hugging Face
+    print("Loading the model...")
     qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
+    print("Model loaded successfully.")
 except Exception as e:
     # Print error message for debugging purposes
     print(f"Error loading model: {e}")
@@ -26,5 +27,7 @@ interface = gr.Interface(
     description="Ask a question based on the given context.",
 )
 
+# Print a message before launching the app to confirm it's starting
+print("Launching the Gradio interface...")
 # Launch the interface
-interface.launch()
+interface.launch()