lordsquirrel
commited on
Commit
•
6425640
1
Parent(s):
c5fed56
wtf
Browse files- demo.py +4 -5
- model-test.ipynb +9 -8
demo.py
CHANGED
@@ -1,7 +1,7 @@
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# AUTOGENERATED! DO NOT EDIT! File to edit: model-test.ipynb.
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# %% auto 0
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-
__all__ = ['plt', 'learn', 'categories', '
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# %% model-test.ipynb 2
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from fastai.vision.all import *
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@@ -21,8 +21,8 @@ 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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-
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### Tvivl ej 68 års invotation inden for machine learning skal nok fortælle dig om øllen er god eller ej
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"""
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image = gr.Image(shape=(192, 192))
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@@ -34,8 +34,7 @@ iface = gr.Interface(
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inputs=image,
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outputs=label,
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examples=examples,
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description=
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title="Er du i tvivl om at den øl du sidder med i hånden lige nu er god? "
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)
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iface.launch(inline=False)
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# AUTOGENERATED! DO NOT EDIT! File to edit: model-test.ipynb.
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# %% auto 0
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+
__all__ = ['plt', 'learn', 'categories', 'description', 'image', 'label', 'examples', 'iface', 'is_albani', 'classify_image']
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# %% model-test.ipynb 2
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from fastai.vision.all import *
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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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+
description = """
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## Er du i tvivl om at den øl du sidder med i hånden lige, nu er god?
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### Tvivl ej 68 års invotation inden for machine learning skal nok fortælle dig om øllen er god eller ej
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"""
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image = gr.Image(shape=(192, 192))
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inputs=image,
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outputs=label,
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examples=examples,
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+
description=description,
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)
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iface.launch(inline=False)
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model-test.ipynb
CHANGED
@@ -75,14 +75,16 @@
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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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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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-
"
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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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"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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" pred,idx,probs = learn.predict(img)\n",
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" return dict(zip(categories, map(float, probs)))\n",
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"\n",
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"
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"
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" ### Tvivl ej 68 års invotation inden for machine learning skal nok fortælle dig om øllen er god eller ej\n",
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"\"\"\"\n",
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"image = gr.Image(shape=(192, 192))\n",
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" inputs=image, \n",
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" outputs=label, \n",
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" examples=examples, \n",
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" description=
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" title=\"Er du i tvivl om at den øl du sidder med i hånden lige nu er god? \"\n",
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")\n",
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"\n",
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"iface.launch(inline=False)\n"
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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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"metadata": {},
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"outputs": [
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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": 50,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"Thanks for being a Gradio user! If you have questions or feedback, please join our Discord server and chat with us: https://discord.gg/feTf9x3ZSB\n",
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"Running on local URL: http://127.0.0.1:7877\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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"data": {
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"text/plain": []
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},
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+
"execution_count": 50,
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"metadata": {},
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"output_type": "execute_result"
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}
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" pred,idx,probs = learn.predict(img)\n",
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" return dict(zip(categories, map(float, probs)))\n",
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"\n",
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"description = \"\"\"\n",
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" ## Er du i tvivl om at den øl du sidder med i hånden lige, nu er god?\n",
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" ### Tvivl ej 68 års invotation inden for machine learning skal nok fortælle dig om øllen er god eller ej\n",
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"\"\"\"\n",
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"image = gr.Image(shape=(192, 192))\n",
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" inputs=image, \n",
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" outputs=label, \n",
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" examples=examples, \n",
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" description=description,\n",
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")\n",
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"\n",
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"iface.launch(inline=False)\n"
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},
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{
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"cell_type": "code",
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+
"execution_count": 52,
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"metadata": {},
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"outputs": [
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{
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