Update app.py

app.py

@@ -56,7 +56,7 @@ def deepfakeclassifier(potential_test_video, option):
     return "This video is FAKE with {} probability!".format(predictions[0])
 
 demo = gr.Interface(fn=deepfakeclassifier, inputs=[gr.Video(), 
-                    gr.Radio(["Original", "Custom"])] ,outputs="text", description="Original option uses the trained weights of the winning idea. Custom is my trained \
-                        network. Original optional performs better as it uses much more data for training!")
+                    gr.Radio(["Pretrained", "Scratch"])] ,outputs="text", description="Pretrained option is training over the winning idea. Scratch is my training from \
+                        the scratch. Pretrained optional performs better as it is trained with much more data for training!")
 
 demo.launch(debug=True)