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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
# %% auto 0 | |
__all__ = ['learn', 'labels', 'examples', 'add_image_label', 'predict'] | |
# %% app.ipynb 2 | |
import timm | |
from fastai.vision.all import * | |
import gradio as gr | |
def add_image_label(x): | |
names = ["gond", "kalighat", "kangra", "madhubani", "mandana", "pichwai", "warli"] | |
for name in names: | |
if name in Path(x).name: | |
return name | |
elif "kerala" in Path(x).name: | |
return "kerala mural" | |
return "unknown" | |
# %% app.ipynb 4 | |
learn = load_learner("model.pkl") | |
# %% app.ipynb 6 | |
labels = learn.dls.vocab | |
def predict(img): | |
img = PILImage.create(img) | |
pred,pred_idx,probs = learn.predict(img) | |
return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
# %% app.ipynb 8 | |
examples = ["examples//warli.jpeg", "examples//madhubani.jpg"] | |
gr.Interface(fn=predict, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=3), examples = examples, title = "Indian Art Classifier").launch(inline=False, debug=True) | |