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import gradio as gr | |
from fastai.vision.all import * | |
def is_cat(x): | |
return x[0].isupper() | |
learn = load_learner('haircutmodel3.pkl') | |
categories = ('low taper','low fade','bald','mullet','mohawk') | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
# Remove 'shape' argument from gr.Image() | |
image = gr.Image(type="pil") # You can specify the image type here, like 'pil' for PIL images | |
label = gr.Label() | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
intf.launch(inline=False) |