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"info": {
"author": "Jonah Philion",
"author_email": "jonahphilion@gmail.com",
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"Programming Language :: Python",
"Programming Language :: Python :: 2",
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"description": "\n# tensorboardY\nThe easier it is to interact with ML models, the faster we can determine their current limitations. This library seeks to automate the creation of cool ML demo websites like\n\n* [style transfer](https://reiinakano.github.io/arbitrary-image-stylization-tfjs/)\n* [Megadepth](http://megadepthdemo.pythonanywhere.com/)\n* [Talk to transformer](https://talktotransformer.com/?ref=producthunt)\n* [GLTR](http://gltr.io/dist/index.html)\n* [Wayve demo](http://perception.wayve.ai/)\n* [FUNIT](https://nvlabs.github.io/FUNIT/petswap.html)\n\nDocumentation is [here](https://jonahthelion.github.io/tensorboardY/) (generated using [pdoc3](https://pdoc3.github.io/pdoc/)).\nThe github repo is [here](https://github.com/jonahthelion/tensorboardY).\n\n## Install\n`pip install tensorboardY`\n\n## Examples\n* `python examples/simple_example.py`\n\n```\nimport tensorboardY as ty\nimport matplotlib.pyplot as plt\n\ndef forward(x, title):\n plt.imshow(x)\n plt.title(title)\n return plt.gcf()\n\ninputs = [ty.Image(var='x', exs=['imgs/curve.jpg']),\n ty.Text(var='title', exs=[\"EXAMPLE\"])]\n\nty.show(forward, inputs)\n```\n![](\"https://github.com/jonahthelion/tensorboardY/raw/master/imgs/simple_example_site.png\")
\n\n* `python examples/full_example.py`\n\n```\nimport tensorboardY as ty\nimport os\n\ndef forward(z):\n return z\n\ninputs = [ty.Widget(\"z\", name=\"Choose your input\",\n camera=True,\n image_upload=True,\n image_list=['imgs/curve.jpg'], image_names=['Curve example'],\n text_input=True,\n text_list=['This is an example text!'], text_names=['Random'],\n option_list=[\"This is an example option!\"], option_names=['Resnet50'],\n boolean=True,\n slider=(5, 20, 0.5), slider_default=10.3)]\n\nty.show(forward, inputs)\n```\n![](\"https://github.com/jonahthelion/tensorboardY/raw/master/imgs/full_example_site.png\")
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