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Download app.py from IbratDO/Dog_Type_Classifier: direct link, hf CLI and curl.
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https://huggingface.co/spaces/IbratDO/Dog_Type_Classifier/resolve/main/app.py
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672 Bytes
| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('itlarni_zoti_klassifikatsiyasi.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 = 'Dog type Classifier' | |
| description = 'A dog type classifier trained on random images from internet with fastai. Created as a demo for Gradio and HuggingFace Spaces.' | |
| #examples = ['GrizzlyBearJeanBeaufort.jpg'] | |
| gr.Interface(fn = predict, | |
| inputs = 'image', | |
| outputs = 'label', | |
| title = title, | |
| description = description | |
| #examples = examples | |
| ).launch() |