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Runtime error
| # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] | |
| # %% ../app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% ../app.ipynb 2 | |
| learn = load_learner('model.pkl') | |
| # %% ../app.ipynb 6 | |
| categories = ('didgeridoo','tambourine','xylophone','acordian','alphorn','bagpipes','banjo','bongo drum','casaba','castanets','clarinet','clavichord','concertina','drums','dulcimer','flute','guiro','guitar','harmonica','harp','marakas','ocarina','piano','saxaphone','sitar','steel drum','trombone','trumpet','tuba','violin') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| # %% ../app.ipynb 8 | |
| image = gr.inputs.Image(shape=(224,224)) | |
| label=gr.outputs.Label() | |
| examples=['banjo.jpg'] | |
| intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) | |
| intf.launch(inline=False) | |