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import gradio as gr | |
from nudenet import NudeDetector | |
def process(input_img): | |
detector = NudeDetector(model_path="640m.onnx", inference_resolution=640) | |
converted = detector.censor(input_img) | |
return converted | |
iface = gr.Interface(fn=process,inputs="image", outputs="image") | |
iface.launch() |