app.py

import gradio as gr
import os
from src.detection import Detector


# UGC: Define the inference fn() for your models
def model_inference(image):
    image, json_out = Detector('BlazeFace')(image)
    return image


def clear_all():
    return None, None, None


# 下载模型
os.system("wget -c https://huggingface.co/yangcsu/facialdetection-vgg/resolve/main/vgg.pdparams -P ./configs")
os.system("wget -c https://huggingface.co/yangcsu/facialdetection-vgg/resolve/main/model.pdiparams -P ./configs")
os.system("wget -c https://huggingface.co/yangcsu/facialdetection-vgg/resolve/main/model.pdmodel -P ./configs")

examples = [
    "images/1.jpg",
    "images/2.jpg",
    "images/3.jpg",
]
title = "BlazeFace+VGG的人脸表情分析"

demo = gr.Interface(fn=model_inference, inputs="image", outputs="image", title=title,
                    examples=examples)

# 启动Gradio
demo.launch()