Update app.py

app.py

@@ -1,30 +1,27 @@
 import gradio as gr
 from anti_spoofing import AntiSpoofingSystem
 
-# Assume this function is a refactored method that processes one image at a time
+# Instantiate your AntiSpoofingSystem outside of the function to avoid re-loading models
+anti_spoofing_system = AntiSpoofingSystem()
+
 def process_frame(image):
-    anti_spoofing_system = AntiSpoofingSystem()
-    
-    # Convert the image to the format expected by your anti-spoofing system
+    # Since we're not processing a video stream, we process the single image
+    # Convert the image to grayscale, detect features, etc.
+    # Then return results (for this example, just returning the input image and dummy text)
     processed_image, blink_count, hand_gesture_detected, smartphone_detected = anti_spoofing_system.process_single_frame(image)
-    
-    # Return the results along with the processed image
-    return processed_image, blink_count, hand_gesture_detected, smartphone_detected
+    return processed_image, f"Blink Count: {blink_count}", f"Hand Gesture Detected: {hand_gesture_detected}", f"Smartphone Detected: {smartphone_detected}"
 
-# Create the Gradio interface
 iface = gr.Interface(
     fn=process_frame,
-    inputs=gr.inputs.Image(shape=(720, 1280)),
+    inputs=gr.inputs.Image(type="pil", label="Upload Image or Use Webcam"),
     outputs=[
-        gr.outputs.Image(type="auto", label="Processed Image"),
+        gr.outputs.Image(type="pil", label="Processed Image"),
         gr.outputs.Textbox(label="Blink Count"),
         gr.outputs.Textbox(label="Hand Gesture Detected"),
         gr.outputs.Textbox(label="Smartphone Detected")
     ],
     title="Anti-Spoofing System",
-    description="Upload an image to check for spoofing indicators."
+    description="Upload an image or capture from webcam to check for spoofing indicators."
 )
 
-# Run the Gradio app
-if __name__ == "__main__":
-    iface.launch()
+iface.launch()