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import sys | |
import os | |
import io | |
import base64 | |
import json | |
import gradio as gr | |
import requests | |
def face_recognition_on_file(file1, file2): | |
url = "http://93.127.215.33:8080/face_recognition" | |
try: | |
files = {'file1': open(file1, 'rb'), 'file2': open(file2, 'rb')} | |
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!") | |
try: | |
response = r.json() | |
print(response) | |
return response | |
except json.JSONDecodeError: | |
raise gr.Error("Invalid response from server") | |
def liveness_detection_on_file(file): | |
url = "http://93.127.215.33:8080/check_liveness" | |
try: | |
files = {'file': open(file, 'rb')} | |
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)}") | |
try: | |
response = r.json() | |
print(response) | |
return response | |
except json.JSONDecodeError: | |
raise gr.Error("Invalid response from server") | |
with gr.Blocks() as demo: | |
gr.Markdown( | |
""" | |
<a href="https://faceplugin.com" style="display: flex; align-items: center;"> | |
<img src="https://faceplugin.com/wp-content/uploads/2024/02/Square-png-file_2-1.png" style="width: 8%; margin-right: 15px;"/> | |
<div> | |
<p style="font-size: 24px; font-weight: bold; margin: 0;">FacePlugIn Ltd</p> | |
</div> | |
</a> | |
## Company Overview | |
FacePlugin Ltd is a pioneering company at the forefront of innovative solutions in the realm of facial recognition technology and computer vision. Established with a commitment to revolutionize security and authentication processes, FacePlugin specializes in cutting-edge solutions including face liveness detection, ID card recognition, face recognition, biometric authentication, and e-KYC (Electronic Know Your Customer) solutions. | |
<h2>List of our Products</h2> | |
* **[FaceRecognition-LivenessDetection-Android](https://github.com/Faceplugin-ltd/FaceRecognition-LivenessDetection-Android)** | |
* **[FaceRecognition-LivenessDetection-iOS](https://github.com/Faceplugin-ltd/FaceRecognition-LivenessDetection-iOS)** | |
* **[FaceRecognition-LivenessDetection-Javascript](https://github.com/Faceplugin-ltd/FaceRecognition-LivenessDetection-Javascript)** | |
* **[FaceLivenessDetection-Docker](https://github.com/Faceplugin-ltd/FaceLivenessDetection-Docker)** | |
## Contact | |
<div style="display: flex; align-items: center;"> | |
<a target="_blank" href="mailto:[email protected]"><img src="https://img.shields.io/badge/[email protected]?logo=gmail " alt="faceplugin.com"></a> | |
<a target="_blank" href="https://t.me/faceplugin"><img src="https://img.shields.io/badge/[email protected]?logo=telegram " alt="faceplugin.com"></a> | |
<a target="_blank" href="https://wa.me/+14422295661"><img src="https://img.shields.io/badge/whatsapp-faceplugin-blue.svg?logo=whatsapp " alt="faceplugin.com"> | |
</div> | |
""" | |
) | |
with gr.TabItem("Face Recognition"): | |
with gr.Row(): | |
with gr.Column(): | |
first_input = gr.Image(type='filepath') | |
gr.Examples(['images/rec_7.jpg', 'images/rec_1.jpg', 'images/9.png', 'images/rec_3.jpg'], | |
inputs=first_input) | |
start_button = gr.Button("Run") | |
with gr.Column(): | |
second_input = gr.Image(type='filepath') | |
gr.Examples(['images/rec_8.jpg', 'images/rec_2.jpg', 'images/10.jpg', 'images/rec_4.jpg'], | |
inputs=second_input) | |
with gr.Column(): | |
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) | |
gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFacePlugin-Ltd%2FFacePlugin-Face-Recognition-SDK"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFacePlugin-Ltd%2FFacePlugin-Face-Recognition-SDK&labelColor=%23697689&countColor=%2337d67a&style=flat&labelStyle=upper" /></a>') | |
demo.queue().launch(share=True) | |