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import gradio as gr
import requests
import json
def face_liveness(frame):
url = "http://127.0.0.1:8000/api/liveness"
files = None
if frame is None:
return ['', None]
files = {'image': open(frame, 'rb')}
r = requests.post(url=url, files=files)
return r.json()
with gr.Blocks() as demo:
gr.Markdown(
"""
# Face Liveness Detection
Get your own Face Liveness Detection Server by duplicating this space.<br/>
Or run on your own machine using docker.<br/>
```docker run -it -p 7860:7860 --platform=linux/amd64 \
-e LICENSE_KEY="YOUR_VALUE_HERE" \
registry.hf.space/faceonlive-face-liveness-detection-sdk:latest ```<br/><br/>
Contact us at https://faceonlive.com for issues and support.<br/>
"""
)
with gr.Row():
with gr.Column(scale=5):
image_input = gr.Image(type='filepath')
gr.Examples(['gradio/examples/1.jpg', 'gradio/examples/2.jpg', 'gradio/examples/3.jpg', 'gradio/examples/4.jpg'],
inputs=image_input)
face_liveness_button = gr.Button("Check Liveness")
with gr.Column(scale=5):
liveness_result_output = gr.JSON()
face_liveness_button.click(face_liveness, inputs=image_input, outputs=liveness_result_output, api_name=False)
gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFaceOnLive%2FFace-Liveness-Detection-SDK"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFaceOnLive%2FFace-Liveness-Detection-SDK&labelColor=%23ff8a65&countColor=%2337d67a&style=flat&labelStyle=upper" /></a>')
demo.queue(api_open=False).launch(server_name="0.0.0.0", server_port=7860, show_api=False) |