app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: samoyed_classifier.ipynb.

# %% auto 0
__all__ = ['learn', 'labels', 'title', 'examples', 'demo', 'predict']

# %% samoyed_classifier.ipynb 26
from fastai.vision.all import *
import gradio as gr

# %% samoyed_classifier.ipynb 27
learn = load_learner('models/samoyed_classifier.pkl')

# %% samoyed_classifier.ipynb 28
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))}

# %% samoyed_classifier.ipynb 29
title = "Samoyed Classifier"
examples = ['test/samoyed_1.jpg']

demo = gr.Interface(fn=predict,
                    inputs="image",
                    outputs="label",
                    title=title,
                    examples=examples)
demo.launch()