app.py

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

# %% auto 0
__all__ = ['learn', 'categories', 'examples', 'image', 'label', 'intf', 'classify_image']

# %% notebook.ipynb 2
from fastai.vision.all import *
import gradio as gr
import timm

# %% notebook.ipynb 3
learn = load_learner('model.pkl')

# %% notebook.ipynb 4
categories = learn.dls.vocab

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

# %% notebook.ipynb 5
examples = ['images/unicycle.jpeg', 'images/bicycle.jpeg', 'images/tricycle.png']

# %% notebook.ipynb 7
image = gr.Image()
label = gr.Label()

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()