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from fastai.vision.all import * | |
import gradio as gr | |
model_path = 'export.pkl' | |
if '\\' in model_path: | |
model_path = Path(PureWindowsPath(model_path)) | |
learn = load_learner(model_path) | |
categories = ('edible', 'poisonous') | |
def classify_image(img): | |
img = PILImage.create(img) | |
img = img.resize((192, 192)) | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
image = gr.Image() | |
label = gr.Label() | |
examples = ['ivy berries.jpg', 'bilberry.jpg', 'hollyberries.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) |