Update app.py

app.py

@@ -10,13 +10,20 @@ def predict(image: Image.Image):
     label, confidence = model.predict(image)
     result = "AI image" if label == 1 else "Real image"
     return result, f"Confidence: {confidence:.2f}%"
+
+def video_identity(video):
+    return video
+
+demo = gr.Interface(video_identity,
+                    gr.Video(),
+                    "https://cdn-uploads.huggingface.co/production/uploads/66d6f1b3b50e35e1709bfdf7/x7Ud8PO9QPfmrTvBVcCKE.mp4",
+                    )
     
 
 # Define the Gradio interface
 demo = gr.Interface(
     fn=predict,
     inputs=gr.Image(type="pil"),
-    gradio.PlayableVideo("https://cdn-uploads.huggingface.co/production/uploads/66d6f1b3b50e35e1709bfdf7/x7Ud8PO9QPfmrTvBVcCKE.mp4"),
     outputs=[gr.Textbox(), gr.Textbox()],
     title="Vision Transformer Model",
     description="Upload an image to classify it using the Vision Transformer model."