app.py

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

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

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

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

# Cell
categories = learn.dls.vocab

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

title = "ID_edible_wild_mushroom"
description = "A deep learning based image classifier that tries to identify edible mushrooms. Perretxiku onen identifikagailua, deep-learning irudiak ikasita."
interpretation = "default"

# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['mushroom.png','mushroom1.jpg','mushroom2.jpg']

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