manual upload

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../app.ipynb 2
+from fastai.vision.all import *
+import gradio as gr
+
+
+# %% ../app.ipynb 4
+learner = load_learner('plants.pkl')
+
+# %% ../app.ipynb 8
+categories = ('Coriander قزبر','Parsley معدنوس')
+def classify_image(img):
+    pred, idx, probs = learner.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+# %% ../app.ipynb 10
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['coriander.jpg','parsley.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

plants.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e961b80f00239356eef1431d31b04b990a0588e00ddb3cdd8688a97c73fe813b
+size 46959183