Oleh Hnashuk commited on
Commit
bdd9afb
1 Parent(s): 814ade9

fastai in requirements file

Browse files
Files changed (3) hide show
  1. app.ipynb +3 -1
  2. app/app.py +26 -0
  3. requirements.txt +1 -0
app.ipynb CHANGED
@@ -18,6 +18,8 @@
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  "outputs": [],
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  "source": [
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  "#|export\n",
 
 
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  "from fastai.vision.all import *\n",
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  "import gradio as gr"
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  ]
@@ -271,7 +273,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 14,
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  "id": "c0c533db",
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  "metadata": {},
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  "outputs": [],
 
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  "outputs": [],
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  "source": [
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  "#|export\n",
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+ "!pip install fastai\n",
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+ "!pip install gradio\n",
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  "from fastai.vision.all import *\n",
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  "import gradio as gr"
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  ]
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 15,
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  "id": "c0c533db",
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  "metadata": {},
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  "outputs": [],
app/app.py ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
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+
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+ # %% auto 0
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+ __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
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+
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+ # %% ../app.ipynb 1
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+ from fastai.vision.all import *
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+ import gradio as gr
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+
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+ # %% ../app.ipynb 2
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+ learn = load_learner('model.pk1')
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+
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+ # %% ../app.ipynb 3
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+ categories = ('ocean', 'space', 'money')
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+
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+ def classify_image(img):
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+ pred, idx, probs = learn.predict(img)
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+ return dict(zip(categories, map(float, probs)))
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+
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+ # %% ../app.ipynb 5
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+ image = gr.inputs.Image(shape=(192,192))
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+ label = gr.outputs.Label()
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+ examples = ['ocean.jpg', 'space.jpg', 'money.jpg']
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+
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+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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+ intf.launch(inline=False)
requirements.txt ADDED
@@ -0,0 +1 @@
 
 
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+ fastai