seamusbarnes commited on
Commit ·
5bf1b4a
1
Parent(s): 4496af7
added files and folders to .gitignore
Browse files- .gitignore +2 -0
- app.py +31 -0
- sushi.jpg +0 -0
.gitignore
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*.pkl
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venv/
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app.py
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from fastai.vision.all import *
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import gradio as gr
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import glob
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learn = load_learner('model.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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_, _, 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='Japanese Food Classifier'
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description = ('Japanese food classifier trained on duckduckgo image search generated custom dataset, fastai library and fine-tuned with the resnet18 model')
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article="<p style='text-align: center'><a href='https://github.com/seamusbarnes/learn-in-public/blob/main/fastai/lesson01.ipynb' target='_blank'>Trained model</a></p>"
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subfolder = Path('images')
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search_pattern = str(subfolder/'*.jpg')
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jpg_files = glob.glob(search_pattern)
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intf = gr.Interface(
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fn=predict,
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inputs=gr.Image(),
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outputs=gr.Label(num_top_classes=10),
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title=title,
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description=description,
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article=article,
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examples=jpg_files,
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examples_per_page=37
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)
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intf.launch()
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sushi.jpg
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