Create app.py

app.py

@@ -0,0 +1,60 @@
+import gradio as gr
+from main import main
+
+
+with gr.Blocks() as demo:
+
+    with gr.Row():
+        with gr.Column():
+            last_name = gr.Textbox(label='last name',
+                                   interactive=True,
+                                   value='ABOLADE')
+            matric_no = gr.Textbox(label='Matric number',
+                                   interactive=True,
+                                   value='CPE/18/6627')
+            
+        with gr.Column():
+            input_image = gr.Image(type='numpy',
+                               image_mode='RGB',
+                               sources='webcam',
+                               interactive=True,
+                               height=640,
+                               width=640,
+                               label='Webcam Image')
+            
+            cropped_input_image = gr.Image(type='pil',
+                    image_mode='RGB',
+                    interactive=False,
+                    height=640,
+                    width=640,
+                    label='Detected face in webcam image')
+
+        with gr.Column(scale=1):
+            returned_image = gr.Image(type='pil',
+                               image_mode='RGB',
+                                interactive=False,
+                               height=640,
+                               width=640,
+                               label='Image in database')
+            cropped_returned_image = gr.Image(type='pil',
+                    image_mode='RGB',
+                    interactive=False,
+                    height=640,
+                    width=640,
+                    label='Face in image in database')
+
+    submit_button = gr.Button(value='Submit')
+    result = gr.Textbox(label='Result',
+                        interactive=False)
+    submit_button.click(fn = main,
+                        inputs=[last_name, matric_no, input_image],
+                        outputs=[result, cropped_input_image,
+                                 cropped_returned_image, returned_image,
+                        ]
+                        )
+    
+
+if __name__ == '__main__':
+    demo.launch(share=False)
+        
+