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Mihai-Valentin DUMITRU commited on
Commit ·
51beb00
1
Parent(s): 70969ff
fix exports from notebook
Browse files- app.py +22 -3
- elephants.ipynb +86 -13
app.py
CHANGED
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@@ -1,9 +1,28 @@
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# AUTOGENERATED! DO NOT EDIT! File to edit: .
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# %% auto 0
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__all__ = []
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# %% .
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from fastai.vision.all import *
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import gradio as gr
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import timm
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# AUTOGENERATED! DO NOT EDIT! File to edit: ./elephants.ipynb.
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# %% auto 0
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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
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# %% ./elephants.ipynb 2
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from fastai.vision.all import *
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import gradio as gr
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import timm
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# %% ./elephants.ipynb 4
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learn = load_learner('model.pkl')
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# %% ./elephants.ipynb 6
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categories = learn.dls.vocab
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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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# %% ./elephants.ipynb 8
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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examples = ['baby_african_elephant.jpg', 'baby_asian_elephant.jpg', 'mammoth_plushie.jpg']
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# %% ./elephants.ipynb 9
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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intf.launch(inline=False)
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elephants.ipynb
CHANGED
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@@ -63,7 +63,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"#export\n",
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"learn = load_learner('model.pkl')"
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]
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},
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@@ -132,7 +132,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"#export\n",
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"categories = learn.dls.vocab\n",
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"\n",
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"def classify_image(img):\n",
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@@ -222,7 +222,7 @@
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}
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],
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"source": [
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"#export\n",
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"image = gr.inputs.Image(shape=(192, 192))\n",
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"label = gr.outputs.Label()\n",
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"examples = ['baby_african_elephant.jpg', 'baby_asian_elephant.jpg', 'mammoth_plushie.jpg']"
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@@ -230,7 +230,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "4f463e23",
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"metadata": {
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"scrolled": true
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@@ -240,30 +240,103 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:
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"Running on public URL: https://388ff8a9222725f3f3.gradio.live\n",
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"\n",
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"
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]
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},
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{
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"data": {
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"text/plain": []
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#export\n",
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"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
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"intf.launch(inline=False
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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":
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"id": "ff9d5c73",
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"metadata": {},
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"outputs": [],
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@@ -273,7 +346,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "eb95104b",
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"metadata": {},
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"outputs": [
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@@ -286,7 +359,7 @@
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}
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],
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"source": [
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"nbdev.export.nb_export('elephants.ipynb', '
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"print('Export successful')"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"#|export\n",
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"learn = load_learner('model.pkl')"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"#|export\n",
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"categories = learn.dls.vocab\n",
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"\n",
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"def classify_image(img):\n",
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}
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],
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"source": [
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"#|export\n",
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"image = gr.inputs.Image(shape=(192, 192))\n",
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"label = gr.outputs.Label()\n",
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"examples = ['baby_african_elephant.jpg', 'baby_asian_elephant.jpg', 'mammoth_plushie.jpg']"
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "4f463e23",
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"metadata": {
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"scrolled": true
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7861\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"text/plain": []
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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" }\n",
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" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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" }\n",
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" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"#|export\n",
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"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
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"intf.launch(inline=False)"
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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": 17,
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"id": "ff9d5c73",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "eb95104b",
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"metadata": {},
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"outputs": [
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}
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],
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"source": [
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"nbdev.export.nb_export('elephants.ipynb', './app')\n",
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"print('Export successful')"
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]
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},
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