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import os
import gradio as gr
import requests
import base64
from io import BytesIO
from PIL import Image
def search_face(image):
return image, 1
with gr.Blocks() as demo:
gr.Markdown(
"""
# Search Your Face Online For Free
## For more detailed information, please check on our website.<br/>
## [FaceOnLive: On-premises ID Verification, Biometric Authentication Solution Provider](https://faceonlive.com)
<br>
## For premium support or partnership inquiries, contact us.
"""
)
with gr.Row():
with gr.Column(scale=1):
image = gr.Image(type='filepath', height=480)
search_face_button = gr.Button("Search Face")
with gr.Column(scale=2):
output = gr.Gallery(label="Found Images", columns=[4], object_fit="contain", height="auto")
countwg = gr.Number(label="Count")
gr.Examples(['examples/1.jpg', 'examples/2.jpg'], inputs=image, cache_examples=True, cache_mode='lazy', fn=search_face, outputs=[output, countwg])
search_face_button.click(search_face, inputs=image, outputs=[output, countwg], api_name=False)
gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFaceOnLive%2FFace-Search-Online"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFaceOnLive%2FFace-Search-Online&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) |