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__all__ = ["label_func", "learn", "classify_image", "categories", "image", "label", "examples", "intf"] | |
from fastai.vision.all import * | |
import gradio as gr | |
def label_func(x): return x.parent.name | |
learn = load_learner("model.pkl") | |
categories = ("bluebell", "buttercup", "cowslip", "crocus", "daffodil", "daisy", "dandelion", "fritillary", "iris", "pansy", "snowdrop", "sunflower", "tiger lily", "tulip", "windflower") | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
image = gr.inputs.Image(shape=(192, 192)) | |
label = gr.outputs.Label() | |
examples = ["cowslip.jpg", "daffodil.jpg", "snowdrop.jpg", "buttercup.jpg"] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) |