Update app.py

app.py

@@ -1,29 +1,54 @@
 import gradio as gr
 import pipeline
 
+# Custom CSS for larger interface
 custom_css = """
-.gradio-container { max-width: 1400px !important; }
+.gradio-container {
+    max-width: 1400px !important;
+}
+#component-0, #component-1, #component-2 {
+    min-height: 500px !important;
+}
+.output-class {
+    min-height: 300px !important;
+    font-size: 24px !important;
+    padding: 30px !important;
+}
+.input-image, .input-video, .input-audio {
+    min-height: 500px !important;
+}
 """
 
+title="EfficientNetV2 Deepfakes Video Detector"
+description="EfficientNetV2 Deepfakes Image Detector by using frame-by-frame detection."
+
+# Image Interface with larger components
 image_interface = gr.Interface(
     fn=pipeline.deepfakes_image_predict,
     inputs=gr.Image(label="Upload Image", height=500),
-    outputs=gr.Textbox(label="Detection Result", lines=8),
-    title="Image Deepfake Detection"
+    outputs=gr.Textbox(label="Detection Result", lines=8, scale=2),
+    examples=["images/images_lady.jpg", "images/images_fake_image.jpg"],
+    cache_examples=False,
+    title="Image Deepfake Detection",
+    description="Upload an image to detect if it's real or fake"
 )
 
+# Video Interface with larger components  
 video_interface = gr.Interface(
     fn=pipeline.deepfakes_video_predict,
     inputs=gr.Video(label="Upload Video", height=500),
-    outputs=gr.Textbox(label="Detection Result", lines=8),
-    title="Video Deepfake Detection"
+    outputs=gr.Textbox(label="Detection Result", lines=8, scale=2),
+    examples=["videos/celeb_synthesis.mp4", "videos/real-1.mp4"],
+    cache_examples=False,
+    title="Video Deepfake Detection",
+    description="Upload a video to detect if it's real or fake (frame-by-frame analysis)"
 )
 
 app = gr.TabbedInterface(
-    interface_list=[image_interface, video_interface],
+    interface_list=[image_interface, video_interface], 
     tab_names=['Image inference', 'Video inference'],
     css=custom_css
 )
 
-if __name__ == "__main__":
+if __name__ == '__main__':
     app.launch()