# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).

__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']

# Cell
from fastai.vision.all import *
import gradio as gr
import timm

def GetLabel(fileName):
    cat = lookup[fileName]
    return cat

# Cell
learn = load_learner('food_model.pkl')

# Cell
categories = learn.dls.vocab

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

# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label(num_top_classes=5)
examples = ['steak.jpg', 'tacos.jpg', 'salmon.jpg']

# Cell
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,
    title="Food Classifier", description="Trained on the image set at https://s3.amazonaws.com/fast-ai-imageclas/food-101.tgz using ResNet34. Provide an image or select from one below.")
intf.launch()