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Download app.py from AG42/Bear_Classifier: direct link, hf CLI and curl.
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https://huggingface.co/spaces/AG42/Bear_Classifier/resolve/main/app.py
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hf download hf://spaces/AG42/Bear_Classifier/app.py
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curl -L -o app.py https://huggingface.co/spaces/AG42/Bear_Classifier/resolve/main/app.py
659 Bytes
| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('export.pkl') | |
| 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))} | |
| title = "Bear Classifier" | |
| description = "A bear classifier trained on data from the internet. Made using fastai." | |
| article = "bears" | |
| examples = ['bear.jpg'] | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=predict,inputs=gr.Image(type="pil"),outputs=gr.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples).launch() |