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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() | |