app.py

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

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

# %% ../fire_detector_gradio.ipynb 1
from fastai.vision.all import load_learner
import gradio as gr

# %% ../fire_detector_gradio.ipynb 3
learner = load_learner("model.pkl")

# %% ../fire_detector_gradio.ipynb 4
categories = ('fireplace fire', "building fire", "wild fire", "lithium battery fire", "bonfire")


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


# %% ../fire_detector_gradio.ipynb 6
image = gr.inputs.Image(shape=(256, 256))
label = gr.outputs.Label()
examples = ["wildfire.jpg", "bonfire.jpg", "fireplace.jpg", "lithium.jpg"]

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

intf.launch(inline=False)