use api

app.py

@@ -1,6 +1,4 @@
 import sys
-sys.path.append('.')
-sys.path.append('./face_recognition')
 import os
 import io
 import cv2
@@ -14,33 +12,26 @@ import configparser
 import numpy as np
 from PIL import Image
 
-# from face_recognition.match import match_1_1
-# from face_recognition1.run import match_image
-
 
 def face_recognition_on_file(file1, file2):
-    img1 = cv2.imread(file1)
-    img2 = cv2.imread(file2)
-
-    response = match_1_1(img1, img2)
-
-    return response
-
-def liveness_detection_on_file(file1, file2):
-    img1 = cv2.imread(file1)
-    img2 = cv2.imread(file2)
-
-    response = match_1_1(img1, img2)
+    url = "http://93.127.215.33:8080/face_recognition"
+    try:
+        files = {'file1': open(file1, 'rb'), 'file2': open(file2, 'rb')}
 
-    return response
+        r = requests.post(url=url, files=files)
+        r.raise_for_status()  # Raise an exception for bad status codes
+    except requests.RequestException as e:
+        raise gr.Error(f"Error occurred: {str(e)}")
+    except IOError:
+        raise gr.Error("Please select valid image files!")
 
-def mrz_recognition_on_file(file1, file2):
-    img1 = cv2.imread(file1)
-    img2 = cv2.imread(file2)
+    try:
+        response = r.json()
+        print(response)
+        return response
+    except json.JSONDecodeError:
+        raise gr.Error("Invalid response from server")
 
-    response = match_1_1(img1, img2)
-
-    return response
 
 with gr.Blocks() as demo:
     gr.Markdown(
@@ -66,26 +57,4 @@ with gr.Blocks() as demo:
                 app_output = [gr.JSON()]
 
         start_button.click(face_recognition_on_file, inputs=[first_input, second_input], outputs=app_output)
-    with gr.TabItem("Face Liveness Detection"):
-        with gr.Row():
-            with gr.Column():
-                app_input = gr.Image(type='filepath')
-                gr.Examples(['images/4.jpg', 'images/1.png', 'images/2.png', 'images/3.png'],
-                            inputs=app_input)
-                start_button = gr.Button("Run")
-            with gr.Column():
-                app_output = [gr.JSON()]
-
-        start_button.click(liveness_detection_on_file, inputs=app_input, outputs=app_output)
-    with gr.TabItem("ID Document Recognition"):
-        with gr.Row():
-            with gr.Column():
-                app_input = gr.Image(type='pil')
-                gr.Examples(['images/mrz_1.jpg', 'images/mrz_2.png', 'images/mrz_3.jpeg', 'images/mrz_4.jpg'],
-                            inputs=app_input)
-                start_button = gr.Button("Run")
-            with gr.Column():
-                app_output = [gr.JSON()]
-
-        start_button.click(mrz_recognition_on_file, inputs=app_input, outputs=app_output)
 demo.queue().launch(share=True)