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import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner('export.pkl') | |
def predict_image(img): | |
prediction, _, _ = learn.predict(img) | |
return prediction | |
# UI huggface | |
# image = gr.Image(shape=(192, 192)) | |
# label = gr.Label() | |
#intrfce = gr.Interface(fn=predict_image, inputs=image, outputs=label) | |
intrfce = gr.Interface(fn=predict_image, | |
inputs=gr.Image(type="pil"), | |
outputs=gr.Label(num_top_classes=3)).launch() | |
# intrfce.launch(inline=False) |