pratikskarnik
commited on
Commit
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4cfee44
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Parent(s):
e268100
Deploy changes
Browse files- Face Problems.ipynb +0 -0
- app.py +19 -0
- export.pkl +3 -0
- forehead_wrinkles.jpg +0 -0
- harmonal_acne.jpg +0 -0
- oily_skin.jpg +0 -0
- requirements.txt.txt +2 -0
Face Problems.ipynb
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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('export.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 = "Face condition Analyzer"
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description = "A face condition detector trained on the custom dataset with fastai. Created using Gradio and HuggingFace Spaces."
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examples = ['harmonal_acne.jpg','forehead_wrinkles.jpg','oily_skin.jpg']
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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,
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description=description,examples=examples,enable_queue=enable_queue).launch(share=True)
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export.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c11839d95c5c2725689d33b22c5b61fd2de4f24e5d225e4d5a02fa1b6b286273
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size 103049429
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forehead_wrinkles.jpg
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harmonal_acne.jpg
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oily_skin.jpg
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requirements.txt.txt
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fastai
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scikit-image
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