Update app.py

app.py

@@ -73,7 +73,6 @@ def deepfakespredict(select_model, input_img ):
 title="EfficientNetV2 Deepfakes Image Detector"
 description="This is a demo implementation of EfficientNetV2 Deepfakes Image Detector. To use it, simply upload your image, or click one of the examples to load them."
 examples = [
-
                 ['deepfakes-test-images/Fake-1.jpg'],
                 ['deepfakes-test-images/Fake-2.jpg'],
                 ['deepfakes-test-images/Fake-3.jpg'],
@@ -85,13 +84,11 @@ examples = [
                 ['deepfakes-test-images/Real-3.jpg'],
                 ['deepfakes-test-images/Real-4.jpg'],
                 ['deepfakes-test-images/Real-5.jpg']
-
            ]
             
 gr.Interface(deepfakespredict,
                      inputs = [gr.inputs.Radio(["EfficientNetV2-B0", "EfficientNetV2-S"], label = "Select model:"), "image"],
                      outputs=["text", gr.outputs.Image(type="pil", label="Detected face"), gr.outputs.Label(num_top_classes=None, type="auto", label="Confidence")],
                      title=title,
-                     description=description,
-                     examples=examples
+                     description=description
                      ).launch()