| 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') | |
| submit_button = gr.Button(value='Submit') | |
| result = gr.Textbox(label='Result', | |
| interactive=False) | |
| with gr.Column(): | |
| input_image = gr.Image(type='numpy', | |
| image_mode='RGB', | |
| sources='webcam', | |
| interactive=True, | |
| height=480, | |
| width=480, | |
| label='Webcam Image') | |
| cropped_input_image = gr.Image(type='pil', | |
| image_mode='RGB', | |
| interactive=False, | |
| height=480, | |
| width=480, | |
| label='Detected face in webcam image') | |
| with gr.Column(scale=1): | |
| returned_image = gr.Image(type='pil', | |
| image_mode='RGB', | |
| interactive=False, | |
| height=480, | |
| width=480, | |
| label='Image in database') | |
| cropped_returned_image = gr.Image(type='pil', | |
| image_mode='RGB', | |
| interactive=False, | |
| height=480, | |
| width=480, | |
| label='Face in image in database') | |
| 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() | |