Update demo.py

demo.py

@@ -1,84 +1,84 @@
-import gradio as gr
-import requests
-from PIL import Image
-import io
-import cv2
-import numpy as np
-
-palmprint_count = 0
-
-def compare_palmprint(frame1, frame2):
-    global palmprint_count
-    
-    palmprint_count = palmprint_count + 1
-    print("palmprint_count", palmprint_count)
-    f = open('palmprint_recognition.txt', 'w', encoding="utf-8")
-    f.write("palmprint_count: {palmprint_count}".format(palmprint_count=palmprint_count))
-    f.close()
-
-    url = "http://127.0.0.1:8080/compare_palmprint"
-    files = {'file1': open(frame1, 'rb'), 'file2': open(frame2, 'rb')}
-
-    r = requests.post(url=url, files=files)
-
-    html = None
-
-    compare_result = r.json().get('compare_result')
-    compare_similarity = r.json().get('compare_similarity')
-
-    html = ("<table>"
-                "<tr>"
-                    "<th>Compare Result</th>"
-                    "<th>Value</th>"
-                "</tr>"
-                "<tr>"
-                    "<td>Result</td>"
-                    "<td>{compare_result}</td>"
-                "</tr>"
-                "<tr>"
-                    "<td>Similarity</td>"
-                    "<td>{compare_similarity}</td>"
-                "</tr>"
-                "</table>".format(compare_result=compare_result, compare_similarity=compare_similarity))
-
-    return [html]
-
-with gr.Blocks() as demo:
-    gr.Markdown(
-        """
-    # KBY-AI Palm-Print Recognition 
-    We offer SDKs for face recognition, liveness detection(anti-spoofing), ID card recognition and ID document liveness detection. 
-    We also specialize in providing outsourcing services with a variety of technical stacks like AI(Computer Vision/Machine Learning), Mobile apps, and web apps.
-    
-    ##### KYC Verification Demo - https://github.com/kby-ai/KYC-Verification-Demo-Android
-    ##### ID Capture Web Demo - https://id-document-recognition-react-alpha.vercel.app
-    """
-    )
-
-    with gr.TabItem("Palmprint Recognition"):
-        gr.Markdown(
-            """
-        ##### Docker Hub - https://hub.docker.com/r/kbyai/palmprint-recognition
-        ```bash
-        sudo docker pull kbyai/palmprint-recognition:latest
-        sudo docker run -v ./license.txt:/root/kby-ai-palmprint/license.txt -p 8081:8080 -p 9001:9000 kbyai/palmprint-recognition:latest
-        ```
-        """
-        )
-        with gr.Row():
-            with gr.Column():
-                compare_palmprint_input1 = gr.Image(type='filepath')
-                gr.Examples(['palmprint_examples/1.jpg', 'palmprint_examples/3.jpg', 'palmprint_examples/5.jpg', 'palmprint_examples/7.jpg', 'palmprint_examples/9.jpg'], 
-                            inputs=compare_palmprint_input1)
-                compare_palmprint_button = gr.Button("Compare Hand")
-            with gr.Column():
-                compare_palmprint_input2 = gr.Image(type='filepath')
-                gr.Examples(['palmprint_examples/2.jpg', 'palmprint_examples/4.jpg', 'palmprint_examples/6.jpg', 'palmprint_examples/8.jpg', 'palmprint_examples/10.jpg'], 
-                            inputs=compare_palmprint_input2)
-            with gr.Column():
-                compare_result_output = gr.HTML(label='Result')
-
-        compare_palmprint_button.click(compare_palmprint, inputs=[compare_palmprint_input1, compare_palmprint_input2], outputs=[compare_result_output])
-    gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fweb.kby-ai.com%2F"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fweb.kby-ai.com%2F&label=VISITORS&countColor=%23263759" /></a>')
-
+import gradio as gr
+import requests
+from PIL import Image
+import io
+import cv2
+import numpy as np
+
+palmprint_count = 0
+
+def compare_palmprint(frame1, frame2):
+    global palmprint_count
+    
+    palmprint_count = palmprint_count + 1
+    print("palmprint_count", palmprint_count)
+    f = open('palmprint_recognition.txt', 'w', encoding="utf-8")
+    f.write("palmprint_count: {palmprint_count}".format(palmprint_count=palmprint_count))
+    f.close()
+
+    url = "http://127.0.0.1:8080/compare_palmprint"
+    files = {'file1': open(frame1, 'rb'), 'file2': open(frame2, 'rb')}
+
+    r = requests.post(url=url, files=files)
+
+    html = None
+
+    compare_result = r.json().get('compare_result')
+    compare_similarity = r.json().get('compare_similarity')
+
+    html = ("<table>"
+                "<tr>"
+                    "<th>Compare Result</th>"
+                    "<th>Value</th>"
+                "</tr>"
+                "<tr>"
+                    "<td>Result</td>"
+                    "<td>{compare_result}</td>"
+                "</tr>"
+                "<tr>"
+                    "<td>Similarity</td>"
+                    "<td>{compare_similarity}</td>"
+                "</tr>"
+                "</table>".format(compare_result=compare_result, compare_similarity=compare_similarity))
+
+    return [html]
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        """
+    # KBY-AI Palm-Print Recognition 
+    We offer SDKs for face recognition, liveness detection(anti-spoofing), ID card recognition and ID document liveness detection. 
+    We also specialize in providing outsourcing services with a variety of technical stacks like AI(Computer Vision/Machine Learning), Mobile apps, and web apps.
+    
+    ##### KYC Verification Demo - https://github.com/kby-ai/KYC-Verification-Demo-Android
+    ##### ID Capture Web Demo - https://id-document-recognition-react-alpha.vercel.app
+    """
+    )
+
+    with gr.TabItem("Palmprint Recognition"):
+        gr.Markdown(
+            """
+        ##### Docker Hub - https://hub.docker.com/r/kbyai/palmprint-recognition
+        ```bash
+        sudo docker pull kbyai/palmprint-recognition:latest
+        sudo docker run -v ./license.txt:/root/kby-ai-palmprint/license.txt -p 8081:8080 -p 9001:9000 kbyai/palmprint-recognition:latest
+        ```
+        """
+        )
+        with gr.Row():
+            with gr.Column():
+                compare_palmprint_input1 = gr.Image(type='filepath')
+                gr.Examples(['palmprint_examples/1.jpg', 'palmprint_examples/3.jpg', 'palmprint_examples/5.jpg', 'palmprint_examples/7.jpg'], 
+                            inputs=compare_palmprint_input1)
+                compare_palmprint_button = gr.Button("Compare Hand")
+            with gr.Column():
+                compare_palmprint_input2 = gr.Image(type='filepath')
+                gr.Examples(['palmprint_examples/2.jpg', 'palmprint_examples/4.jpg', 'palmprint_examples/6.jpg', 'palmprint_examples/8.jpg'], 
+                            inputs=compare_palmprint_input2)
+            with gr.Column():
+                compare_result_output = gr.HTML(label='Result')
+
+        compare_palmprint_button.click(compare_palmprint, inputs=[compare_palmprint_input1, compare_palmprint_input2], outputs=[compare_result_output])
+    gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fweb.kby-ai.com%2F"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fweb.kby-ai.com%2F&label=VISITORS&countColor=%23263759" /></a>')
+
 demo.launch(server_name="0.0.0.0", server_port=7860)