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(
"""
## 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.
List of our Products
* **[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
"""
)
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('
')
demo.queue().launch(share=True)
