deployment to huggingface spaces

app_baby_facial_expressions.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: app_baby_facial_expressions.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% app_baby_facial_expressions.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% app_baby_facial_expressions.ipynb 3
+learn=load_learner('is_baby_smiling.pkl')
+
+# %% app_baby_facial_expressions.ipynb 6
+categories=('baby crying','baby smiling')
+def classify_image(img):
+    pred,idx,probability=learn.predict(img)
+    return dict(zip(categories, map(float,probability)))
+
+# %% app_baby_facial_expressions.ipynb 8
+image=gr.Image(shape=(192,192))
+label=gr.Label()
+examples=['smile.jpg', 'cry.jpg']
+
+intf=gr.Interface(fn=classify_image, inputs=image, outputs=label, title='Is baby smiling or crying?', examples=examples)
+intf.launch(inline=False)

is_baby_smiling.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3eb2be1669c7c14947e3d75727fa911761abaaebddc2edc30e9aaf7447e589bd
+size 46966255