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Upload 3 files
Browse files- app.py +20 -0
- modelt.pkl +3 -0
- requirments.txt +3 -0
app.py
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import gradio as gr
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from fastai.vision.all import *
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import skimage
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learn = load_learner('modelt.pkl')
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labels = learn.dls.vocab
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def predict(img):
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img = PILImage.create(img)
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pred,pred_idx,probs = learn.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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title = "Human Body Parts Classifier"
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description = "Human Body parts Classifier created with custom scraped dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
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article="https://visual-synthesizer.ai, https://github.com/Visual-Synthesizer"
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examples = ['images/face.jpg', 'images/feet.jpg', 'images/pose.jpg', 'images/hand.jpg']
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interpretation='default'
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enable_queue=True
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gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch(share=True)
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modelt.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3cb7010a3669ef123c42b6143ac95afbde1f688824a001273f09a25028e37825
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size 46975393
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requirments.txt
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fastai
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scikit-image
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gradio
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