import gradio as gr | |
from fastai.vision.all import * | |
learner = load_learner("model.pkl") | |
classes = learner.dls.vocab | |
def classify_image(image): | |
pred, idx, probs = learner.predict(image) | |
return dict(zip(classes,map(float,probs))) | |
image = gr.Image() | |
label = gr.Label() | |
examples = ['cat.jpg', 'dog.jpg',"dunno.jpg"] | |
interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
interface.launch() |