Duplicate from lopesdri/PetClassifier

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README.md

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+---
+title: PetClassifier
+emoji: 👀
+colorFrom: red
+colorTo: purple
+sdk: gradio
+sdk_version: 3.32.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: lopesdri/PetClassifier
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 10
+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 12
+learn = load_learner('pets.pkl')
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 14
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../drive/MyDrive/Colab Notebooks/cats_vs_dogs.ipynb 15
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

pets.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:86e85227fa293cf98739dc3643f912de639fd70347a01e544dab8d7c43349854
+size 102978534

requirements.txt

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+fastai
+scikit-image