Update app.py

app.py

@@ -2,83 +2,50 @@ import gradio as gr
 import numpy as np
 import time
 
-def placeholder_process(image):
+def process_image(img):
     """Placeholder function - replace with your backend integration"""
-    time.sleep(1)  # Simulate processing time
-    return image, "Real", 0.95
+    if img is None:
+        return "No image provided", "", ""
+    time.sleep(1)  # Simulate processing
+    return "Processing Complete", "Real Face", "Confidence: 95%"
 
 with gr.Blocks() as demo:
-    # Header
-    gr.Markdown("""
-    # Face Spoofing Detection System
-    ### Detect real vs spoofed faces in real-time or from uploaded images
-    """)
+    gr.Markdown("# Face Spoofing Detection System")
     
-    # Main Interface
     with gr.Tabs():
-        # Webcam Tab
         with gr.Tab("Webcam Detection"):
-            with gr.Row():
-                with gr.Column(scale=2):
-                    # Using basic Image component with webcam
-                    webcam = gr.Image(shape=(480, 640), label="Webcam Feed")
-                with gr.Column(scale=1):
-                    webcam_status = gr.Textbox(label="Status", value="Ready", interactive=False)
-                    webcam_result = gr.Textbox(label="Detection", interactive=False)
-                    webcam_conf = gr.Textbox(label="Confidence", interactive=False)
+            webcam = gr.Image(label="Webcam Feed")
+            webcam_status = gr.Textbox(label="Status", value="Ready")
+            webcam_result = gr.Textbox(label="Detection Result")
+            webcam_conf = gr.Textbox(label="Confidence Score")
+            webcam_button = gr.Button("Analyze")
             
-            webcam_button = gr.Button("Start Detection", variant="primary")
-        
-        # Image Upload Tab
+            webcam_button.click(
+                fn=process_image,
+                inputs=webcam,
+                outputs=[webcam_status, webcam_result, webcam_conf]
+            )
+
         with gr.Tab("Image Upload"):
-            with gr.Row():
-                with gr.Column(scale=2):
-                    image_input = gr.Image(label="Upload Image")
-                with gr.Column(scale=1):
-                    image_status = gr.Textbox(label="Status", value="Ready", interactive=False)
-                    image_result = gr.Textbox(label="Detection", interactive=False)
-                    image_conf = gr.Textbox(label="Confidence", interactive=False)
+            image_input = gr.Image(label="Upload Image")
+            image_status = gr.Textbox(label="Status", value="Ready")
+            image_result = gr.Textbox(label="Detection Result")
+            image_conf = gr.Textbox(label="Confidence Score")
+            image_button = gr.Button("Analyze")
             
-            image_button = gr.Button("Analyze Image")
-    
-    # Info Section
-    with gr.Accordion("Information", open=False):
-        gr.Markdown("""
-        ### How to Use
-        1. Choose either Webcam or Image Upload mode
-        2. For webcam: Click 'Start Detection' to begin real-time analysis
-        3. For images: Upload an image and click 'Analyze Image'
-        
-        ### Best Practices
-        - Ensure good lighting conditions
-        - Position face clearly in the frame
-        - Keep steady and avoid rapid movements
-        - For best results, maintain a distance of 30-60cm from the camera
-        """)
-    
-    # Event handlers
-    def update_status(is_webcam=True):
-        prefix = "Webcam" if is_webcam else "Image"
-        return f"{prefix} analysis in progress..."
+            image_button.click(
+                fn=process_image,
+                inputs=image_input,
+                outputs=[image_status, image_result, image_conf]
+            )
 
-    def process_image(img):
-        if img is None:
-            return "No image provided", "", ""
-        result, label, conf = placeholder_process(img)
-        return update_status(False), f"Detection: {label}", f"Confidence: {conf:.2%}"
-    
-    image_button.click(
-        fn=process_image,
-        inputs=[image_input],
-        outputs=[image_status, image_result, image_conf]
-    )
-    
-    webcam_button.click(
-        fn=process_image,
-        inputs=[webcam],
-        outputs=[webcam_status, webcam_result, webcam_conf]
-    )
+    gr.Markdown("""
+    ### Instructions:
+    1. Choose either Webcam or Image Upload tab
+    2. For webcam: Allow camera access and take a photo
+    3. For images: Upload an image from your device
+    4. Click Analyze to process the image
+    """)
 
-# Launch the interface
 if __name__ == "__main__":
-    demo.launch(share=True)
+    demo.launch()