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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):
backend_url = os.getenv('BACKEND_URL')
url = f"{backend_url}/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):
backend_url = os.getenv('BACKEND_URL')
url = f"{backend_url}/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)
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