Update app.py

app.py

@@ -43,11 +43,11 @@ def predict_image(img, confidence_threshold):
     
     # Check if either class meets the confidence threshold
     if result['artificial'] >= confidence_threshold:
-        return f"Label: artificial, Confidence: {result['artificial']:.4f}"
+        return f"⚠️ AI Generated Image, Confidence: {result['artificial']:.4f}"
     elif result['real'] >= confidence_threshold:
-        return f"Label: real, Confidence: {result['real']:.4f}"
+        return f"✅ Real Photo, Confidence: {result['real']:.4f}"
     else:
-        return "Uncertain Classification"
+        return "🤷‍♂️ Uncertain, not confident enough to call."
         
 # Define the Gradio interface
 image = gr.Image(label="Image to Analyze", sources=['upload'], type='pil')  # Ensure the image type is PIL