|
|
|
|
|
|
|
__all__ = ['learn', 'labels', 'examples', 'is_cat', 'predict'] |
|
|
|
|
|
from fastai.vision.all import * |
|
import gradio as gr |
|
|
|
def is_cat(x): return x[0].isupper() |
|
|
|
|
|
learn = load_learner('model.pkl') |
|
|
|
|
|
labels = learn.dls.vocab |
|
def predict(img): |
|
img = PILImage.create(img) |
|
pred,pred_idx,probs = learn.predict(img) |
|
return {labels[i]: float(probs[i]) for i in range(len(labels))} |
|
|
|
|
|
examples = ["example1.webp","example2.webp","example3.webp"] |
|
|
|
gr.Interface(fn=predict, inputs="image", examples=examples, outputs="label").launch(share=False) |
|
|