Update app.py

app.py

@@ -131,7 +131,7 @@ def deepfakespredict(input_video):
     fake_ratio = fake/total
 
     text =""
-    text2 = "Deepfakes Confidence: " + str(fake_ratio)
+    text2 = "Deepfakes Confidence: " + str(fake_ratio*100) + "%"
 
     if fake_ratio >= 0.5:
         text = "The video is FAKE."
@@ -155,10 +155,13 @@ title="EfficientNetV2 Deepfakes Video Detector"
 description="This is a demo implementation of Deepfakes Video Detector by using EfficientNetV2 on frame-by-frame detection. The accuracy may not be accurate. To use it, simply upload your video, or click one of the examples to load them."
 
 examples = [
+               
+                ['Video1-fake-1-ff.mp4'],
+                ['Video6-real-1-ff.mp4'],
+                ['Video3-fake-3-ff.mp4'],
+                ['Video8-real-3-ff.mp4'],
                 ['real-1.mp4'],
                 ['fake-1.mp4'],
-                ['Video1-fake-1-ff.mp4'],
-                ['Video6-real-1-ff.mp4']
            ]
            
 demo = gr.Interface(deepfakespredict,