deploying
Browse files- app.py +15 -4
- guitars.pkl +3 -0
app.py
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import gradio as gr
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return "Hello " + name + "!!"
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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('guitars.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 = "Guitar Classifier"
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examples = ['Telecaste.jpg', 'Les_Paul.jpg', 'Stratocaster.jpg', 'SG.jpg', 'Flying_V.jpg', 'Explorer.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=5),title=title,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
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guitars.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:86e514251fd2b5adfcecf28683929a9f9a6a5abed780f499311bacb7a84d746c
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size 46980641
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