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| import gradio as gr | |
| import requests | |
| import datadog_api_client | |
| from PIL import Image | |
| def idcard_recognition(frame): | |
| url = "http://127.0.0.1:8080/idcard_recognition" | |
| files = {'file': open(frame, 'rb')} | |
| r = requests.post(url=url, files=files) | |
| html = None | |
| images = None | |
| mrz = None | |
| status = r.json().get('Status') | |
| table_value = "" | |
| if r.json().get('MRZ') is not None: | |
| mrz = r.json().get('MRZ') | |
| for key, value in r.json().items(): | |
| if key == 'Status' or key == 'Images' or key == 'MRZ' or key == 'Position': | |
| continue | |
| mrz_value = '' | |
| if mrz is not None and mrz.get(key) is not None: | |
| mrz_value = mrz[key] | |
| del mrz[key] | |
| row_value = ("<tr>" | |
| "<td>{key}</td>" | |
| "<td>{value}</td>" | |
| "<td>{mrz_value}</td>" | |
| "</tr>".format(key=key, value=value, mrz_value=mrz_value)) | |
| table_value = table_value + row_value | |
| if mrz is not None: | |
| for key, value in mrz.items(): | |
| if key == 'MRZ': | |
| value = value.replace('<', '<') | |
| value = value.replace(',', '<p>') | |
| row_value = ("<tr>" | |
| "<td>{key}</td>" | |
| "<td>{value}</td>" | |
| "<td>{mrz_value}</td>" | |
| "</tr>".format(key=key, value='', mrz_value=value)) | |
| table_value = table_value + row_value | |
| html = ("<table>" | |
| "<tr>" | |
| "<th style=""width:20%"">Field</th>" | |
| "<th style=""width:40%"">Value</th>" | |
| "<th style=""width:40%"">MRZ</th>" | |
| "</tr>" | |
| "<tr>" | |
| "<td>Status</td>" | |
| "<td>{status}</td>" | |
| "<td></td>" | |
| "</tr>" | |
| "{table_value}" | |
| "</table>".format(status=status, table_value=table_value)) | |
| table_value = "" | |
| for key, value in r.json().items(): | |
| if key == 'Images': | |
| for image_key, image_value in value.items(): | |
| row_value = ("<tr>" | |
| "<td>{key}</td>" | |
| "<td><img src=""data:image/png;base64,{base64_image} width = '200' height= '100' /></td>" | |
| "</tr>".format(key=image_key, base64_image=image_value)) | |
| table_value = table_value + row_value | |
| images = ("<table>" | |
| "<tr>" | |
| "<th>Field</th>" | |
| "<th>Image</th>" | |
| "</tr>" | |
| "{table_value}" | |
| "</table>".format(table_value=table_value)) | |
| return [html, images] | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # KBY-AI | |
| We offer SDKs for Face Recognition, Face Liveness Detection(Face Anti-Spoofing), and ID Card Recognition.<br/> | |
| Besides that, we can provide several AI models and development services in machine learning. | |
| ## Simple Installation & Simple API | |
| ``` | |
| sudo docker pull kbyai/idcard-recognition:latest | |
| sudo docker run -e LICENSE="xxxxx" -p 8082:8080 -p 9002:9000 kbyai/idcard-recognition:latest | |
| ``` | |
| ## KYC Verification Demo | |
| https://github.com/kby-ai/KYC-Verification | |
| """ | |
| ) | |
| with gr.TabItem("ID Card Recognition"): | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| id_image_input = gr.Image(type='filepath') | |
| gr.Examples(['idcard_examples/1.jpg', 'idcard_examples/2.jpg', 'idcard_examples/3.jpg'], | |
| inputs=id_image_input) | |
| id_recognition_button = gr.Button("ID Card Recognition") | |
| with gr.Column(scale=5): | |
| id_result_output = gr.HTML() | |
| with gr.Column(scale=2): | |
| image_result_output = gr.HTML() | |
| id_recognition_button.click(idcard_recognition, inputs=id_image_input, outputs=[id_result_output, image_result_output]) | |
| demo.launch(server_name="0.0.0.0", server_port=7860) |