from fastai.vision.all import * | |
import gradio as gr | |
modelPath = Path('export.pkl') | |
learn = load_learner(modelPath) | |
categories = ('Cat', 'Dog') | |
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 = ['cat.jpg', 'dog.png'] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) |