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# 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) |