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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'intf', 'classify_image']
# %% ../app.ipynb 1
from fastai.vision.all import *
import gradio as gr
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
# %% ../app.ipynb 3
learn = load_learner("Rotifer_Classifier.pkl")
# %% ../app.ipynb 5
categories = ("Bdelloid Rotifer", "Monogonont Rotifer")
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% ../app.ipynb 7
desc = """Most rotifers belong to one of two main classes: Bdelloidea and Monogononta. This deep learning classifier was trained on images sourced from iNaturalist to differentiate between the two classes. Your results may vary!"""
art = "Join the [Diet Tom's discord](https://discord.gg/H4wKRkkYJj)"
image = gr.inputs.Image(shape=(512,512))
label = gr.outputs.Label()
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, title="Rotifer Classifier", description = desc).launch()
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