Update app.py

app.py

@@ -154,12 +154,6 @@ def deepfakespredict(input_video):
 
 
 title="EfficientNetV2 Deepfakes Video Detector"
-description="This is a demo implementation of EfficientNetV2 Deepfakes Image Detector by using frame-by-frame detection. \
-            To use it, simply upload your video, or click one of the examples to load them.\
-            This demo and model represent the Final Year Project titled \"Achieving Face Swapped Deepfakes Detection Using EfficientNetV2\" by a CS undergraduate Lee Sheng Yeh. \
-            The examples were extracted from Celeb-DF(V2)(Li et al, 2020) and FaceForensics++(Rossler et al., 2019). Full reference details is available in \"references.txt.\" \
-            The examples are used under fair use to demo the working of the model only. If any copyright is infringed, please contact the researcher via this email: tp054565@mail.apu.edu.my.\
-            "
             
 examples = [              
                 ['Video1-fake-1-ff.mp4'],
@@ -174,6 +168,5 @@ gr.Interface(deepfakespredict,
                      inputs = ["video"],
                      outputs=["text","text", gr.Video(label="Detected face sequence")],
                      title=title,
-                     description=description,
                      examples=examples
                      ).launch()