nuevo

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../clasificacion_imagenes.ipynb.
+
+# %% auto 0
+__all__ = ['learn_inf', 'categories', 'image', 'label', 'examples', 'intf', 'is_bear', 'classify_image']
+
+# %% ../clasificacion_imagenes.ipynb 8
+from fastai.vision.all import *
+import gradio as gr
+
+def is_bear(x): return x[0].isupper()
+
+# %% ../clasificacion_imagenes.ipynb 67
+learn_inf = load_learner('model.pkl')
+
+# %% ../clasificacion_imagenes.ipynb 73
+categories = ('black','grizzly', 'teddy')
+
+def classify_image(img):
+  pred,idx,probs = learn_inf.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+
+# %% ../clasificacion_imagenes.ipynb 76
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['images/grizzly.jpg', 'images/black.jpg', 'images/teddy.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False, share=True, debug=True)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:684af2f6b987d7cc8bb61d84f2238b5ae441aadd843e9658ca957a730437ac95
+size 46967293

requirements.txt

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+fastai
+torch
+gradio
+numpy
+pandas