Update demo.py

demo.py

@@ -1,71 +1,71 @@
-import os
-import gradio as gr
-import requests
-import json
-import io
-import base64
-import cv2
-import numpy as np
-from gradio.components import Image
-
-screenReplayThreshold = 0.5
-portraitReplaceThreshold = 0.5
-printedCopyThreshold = 0.5
-
-def proc_output(result):
-    if result.ok:
-        json_result = result.json()
-        if json_result.get("resultCode") == "Error":
-            return {"status": "error", "result": "failed to process image"}
-
-        process_results = json_result.get("result")
-        status = process_results.get("status")
-        if status == "Ok":
-            screenReply = process_results.get("screenReply")
-            portraitReplace = process_results.get("portraitReplace")
-            printedCopy = process_results.get("printedCopy")
-            detResult = "genuine"
-
-            # Check for "Spoof" condition
-            if screenReply < screenReplayThreshold or portraitReplace < portraitReplaceThreshold or printedCopy < printedCopyThreshold:
-                detResult = "spoof"
-
-            # Update json_result with the modified process_results
-            return {"status": "ok", "data": {"result": detResult, "screenreplay_integrity_score": screenReply, "portraitreplace_integrity_score": portraitReplace, "printedcutout_integrity_score": printedCopy}}
-            
-        return {"status": "error", "result": "document not found!"}
-    else:
-        return {"status": "error", "result": result.text}    
-
-def id_liveness(path):
-    # Convert PIL image to bytes to send in POST request
-    img_bytes = io.BytesIO()
-    path.save(img_bytes, format="JPEG")
-    img_bytes.seek(0)    
-    
-    url = "http://127.0.0.1:9000/process_image"
-    files = {'image': img_bytes}
-    result = requests.post(url=url, files=files)
-    return proc_output(result)
-
-with gr.Blocks() as demo:
-    gr.Markdown(
-        """
-    # ID Document Liveness Detection
-    Contact us at https://faceonlive.com for issues and support.<br/><br/>
-    ** For security and privacy, kindly refrain from uploading real ID card or credit card information on this platform.
-    """
-    )
-    with gr.Row():
-        with gr.Column():
-            image_input = gr.Image(type='pil')           
-            gr.Examples(['examples/1.jpg', 'examples/2.jpg', 'examples/3.jpg'], 
-                        inputs=image_input)
-            process_button = gr.Button("ID Liveness Detection")
-            
-        with gr.Column():
-            json_output = gr.JSON()
-    
-    process_button.click(id_liveness, inputs=image_input, outputs=[json_output])
-
-demo.launch(server_name="0.0.0.0")
+import os
+import gradio as gr
+import requests
+import json
+import io
+import base64
+import cv2
+import numpy as np
+from gradio.components import Image
+
+screenReplayThreshold = 0.5
+portraitReplaceThreshold = 0.5
+printedCopyThreshold = 0.5
+
+def proc_output(result):
+    if result.ok:
+        json_result = result.json()
+        if json_result.get("resultCode") == "Error":
+            return {"status": "error", "result": "failed to process image"}
+
+        process_results = json_result.get("result")
+        status = process_results.get("status")
+        if status == "Ok":
+            screenReply = process_results.get("screenReply")
+            portraitReplace = process_results.get("portraitReplace")
+            printedCopy = process_results.get("printedCopy")
+            detResult = "genuine"
+
+            # Check for "Spoof" condition
+            if screenReply < screenReplayThreshold or portraitReplace < portraitReplaceThreshold or printedCopy < printedCopyThreshold:
+                detResult = "spoof"
+
+            # Update json_result with the modified process_results
+            return {"status": "ok", "data": {"result": detResult, "screenreplay_integrity_score": screenReply, "portraitreplace_integrity_score": portraitReplace, "printedcutout_integrity_score": printedCopy}}
+            
+        return {"status": "error", "result": "document not found!"}
+    else:
+        return {"status": "error", "result": result.text}    
+
+def id_liveness(path):
+    # Convert PIL image to bytes to send in POST request
+    img_bytes = io.BytesIO()
+    path.save(img_bytes, format="JPEG")
+    img_bytes.seek(0)    
+    
+    url = "http://127.0.0.1:9000/process_image"
+    files = {'image': img_bytes}
+    result = requests.post(url=url, files=files)
+    return proc_output(result)
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        """
+    # ID Document Liveness Detection
+    Contact us at https://faceonlive.com for issues and support.<br/><br/>
+    ** For security and privacy, kindly refrain from uploading real ID card or credit card information on this platform.
+    """
+    )
+    with gr.Row():
+        with gr.Column():
+            image_input = gr.Image(type='pil')           
+            gr.Examples(['examples/1.jpg', 'examples/2.jpg', 'examples/3.jpg'], 
+                        inputs=image_input)
+            process_button = gr.Button("ID Liveness Detection")
+            
+        with gr.Column():
+            json_output = gr.JSON()
+    
+    process_button.click(id_liveness, inputs=image_input, outputs=[json_output], api_name=False)
+
+demo.queue(api_open=False).launch(server_name="0.0.0.0", show_api=False)