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Untitled-1.ipynb

@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [

app

@@ -1,30 +0,0 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: ../../Untitled-1.ipynb.
-
-# %% auto 0
-__all__ = ['model_path', 'learn', 'categories', 'is_cat', 'classify_image']
-
-# %% ../../Untitled-1.ipynb 0
-import gradio as gr
-from fastai.vision.all import *
-def is_cat(x): return x[0].isupper()
-
-# %% ../../Untitled-1.ipynb 2
-model_path = Path('model.pkl')
-learn = load_learner(model_path)
-
-# %% ../../Untitled-1.ipynb 4
-categories = ('dog', 'cat')
-
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-
-# %% ../../Untitled-1.ipynb 6
-gr.Interface(fn = classify_image, 
-             inputs="image", 
-             outputs="label", 
-             title = "Dog or Cat", 
-             description="Sample workflow", 
-             examples = ['dog.jpg']
-             ).launch()