.ipynb_checkpoints/app-checkpoint.py

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

# %% auto 0
__all__ = ['learn', 'searches', 'title', 'description', 'examples', 'demo', 'classify_image']

# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% app.ipynb 5
learn = load_learner(Path("model.pkl"))

# %% app.ipynb 7
searches = ("grizzly bears","black bears","teddy bears")

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

# %% app.ipynb 9
title = "FastAi demo"
description = "This demo is the original"
examples = ["grizzly.jpg"]

# %% app.ipynb 10
demo = gr.Interface(
    fn=classify_image,
    inputs="image",
    outputs="label",
    title=title,
    description=description,
    examples = examples)
demo.launch()