first commit

app.py

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+import subprocess
+import sys
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+install('fastbook')
+
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'interface', 'classify_image']
+
+# %% app.ipynb 1
+from fastbook import *
+
+from fastai.vision.all import *
+from fastai.vision.widgets import ImageClassifierCleaner
+
+import gradio as gr
+
+# %% app.ipynb 2
+learn = load_learner('model.pkl')
+
+# %% app.ipynb 3
+categories=('bird','forest')
+
+def classify_image(img):
+    pred,indx,probs=learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+# %% app.ipynb 4
+image=gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+examples=['imagesExample/a.jpg', 'imagesExample/b.jpg', 'imagesExample/dunno.jpg','imagesExample/c.jpg','imagesExample/d.jpg'
+,'imagesExample/e.jpg','imagesExample/f.jpg','imagesExample/g.jpg']
+
+interface=gr.Interface(fn=classify_image, inputs=image ,outputs=label,examples=examples)
+interface.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c39d7d05de265adb13433779de8b2b062bac291bb3bcdfd94cef21efab9df2e1
+size 46952721