Update app.py

app.py

@@ -154,10 +154,18 @@ def deepfakespredict(input_video):
 title="EfficientNetV2 Deepfakes Video Detector"
 description="This is a demo implementation of Deepfakes Video Detector by using EfficientNetV2 on frame-by-frame detection. To use it, simply upload your video, or click one of the examples to load them."
 
+examples = [
+                ['real-1.mp4'],
+                ['fake-1.mp4'],
+                ['Video1-fake-1-ff.mp4'],
+                ['Video6-real-1-ff.mp4']
+           ]
+           
 demo = gr.Interface(deepfakespredict,
                      inputs = ["video"],
                      outputs=["text","text", gr.outputs.Video(label="Detected face sequence")],
                      title=title,
-                     description=description
+                     description=description,
+                     examples=examples
                      )
 demo.launch()