app.py

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

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

# %% ../app.ipynb 1
# write this at the top of each cell which has to be exported to final script

# %% ../app.ipynb 2
from fastai.vision.all import *

# %% ../app.ipynb 3
# this identifies the type of classifier
learn = load_learner('export.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))}

# %% ../app.ipynb 4
import gradio as gr
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)