Update app.py

app.py

@@ -28,18 +28,14 @@ def predict(image):
     avg_pred = (xcp_pred + eff_pred) / 2
     label = "Real" if avg_pred > 0.5 else "Fake"
 
-    result = f"{label} (Avg: {avg_pred:.3f}, XCP: {xcp_pred:.3f}, EFF: {eff_pred:.3f})"
-    return result, image
+    return  label
 
 interface = gr.Interface(
     fn=predict,
     inputs=gr.Image(type="numpy", label="Upload Image"),
-    outputs=[
-        gr.Label(label="Prediction"),
-        gr.Image(type="numpy", label="Input Image")
-    ],
-    title="Deepfake Image Detector (Ensemble: Xception + EfficientNetB4)",
-    description="Upload a full image. The model classifies it as real or fake using an ensemble of Xception and EfficientNetB4."
+    outputs=gr.Label(label="Prediction"),
+    title="Deepfake Image Detector",
+    description="Upload a full image. The model classifies it as real or fake."
 )
 
 interface.launch()