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Download app.py from casey-solvberg/scientist-vs-programmer-classifier: direct link, hf CLI and curl.
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- Download file 736 Bytes
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https://huggingface.co/spaces/casey-solvberg/scientist-vs-programmer-classifier/resolve/main/app.py
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hf download hf://spaces/casey-solvberg/scientist-vs-programmer-classifier/app.py
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curl -L -o app.py https://huggingface.co/spaces/casey-solvberg/scientist-vs-programmer-classifier/resolve/main/app.py
736 Bytes
| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('model.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 = "Scientist vs. Programmer Classifier" | |
| article="""<p style='text-align: center'><a href='https://www.instagram.com/casey.solvberg/' target='_blank'>Author's Instagram</a></p>""" | |
| examples = ['data_scientist.jpg'] | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(), | |
| title=title, | |
| article=article, | |
| examples=examples | |
| ).launch(share=True) |