{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"#|default_exp app"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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"name": "stdout",
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"text": [
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" Building wheel for ffmpy (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4693 sha256=cca6ffaeb95611efa462dd6db688783feed1689cfaf3dc0f4fdadff6b795d6f1\n",
" Stored in directory: /Users/rudra/Library/Caches/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
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" Stored in directory: /Users/rudra/Library/Caches/pip/wheels/ae/3f/03/fa4bd98cd7f4a25e63b6a0b61a7a8352e0f874cd9de1f3390d\n",
"Successfully built ffmpy pycryptodome python-multipart\n",
"Installing collected packages: rfc3986, pydub, monotonic, ffmpy, websockets, uc-micro-py, sniffio, python-multipart, pycryptodome, orjson, multidict, mdurl, h11, fsspec, frozenlist, bcrypt, backoff, async-timeout, yarl, uvicorn, pynacl, markdown-it-py, linkify-it-py, anyio, analytics-python, aiosignal, starlette, paramiko, mdit-py-plugins, httpcore, aiohttp, httpx, fastapi, gradio\n",
"Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 analytics-python-1.4.0 anyio-3.6.1 async-timeout-4.0.2 backoff-1.10.0 bcrypt-4.0.0 fastapi-0.82.0 ffmpy-0.3.0 frozenlist-1.3.1 fsspec-2022.8.2 gradio-3.2 h11-0.12.0 httpcore-0.15.0 httpx-0.23.0 linkify-it-py-1.0.3 markdown-it-py-2.1.0 mdit-py-plugins-0.3.0 mdurl-0.1.2 monotonic-1.6 multidict-6.0.2 orjson-3.8.0 paramiko-2.11.0 pycryptodome-3.15.0 pydub-0.25.1 pynacl-1.5.0 python-multipart-0.0.5 rfc3986-1.5.0 sniffio-1.3.0 starlette-0.19.1 uc-micro-py-1.0.1 uvicorn-0.18.3 websockets-10.3 yarl-1.8.1\n"
]
}
],
"source": [
"#!pip install gradio"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Lamborghini vs Mercedes"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/rudra/mambaforge/lib/python3.10/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"#|export\n",
"\n",
"from fastai.vision.all import *\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"learn = load_learner('lamborghini_vs_mercedes_model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"categories = ('lamborghini', 'mercedes')\n",
"\n",
"def predict(img):\n",
" pred, idx, prob = learn.predict(img)\n",
" return dict(zip(categories, map(float, prob)))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"{'lamborghini': 1.0, 'mercedes': 6.128332508126277e-09}"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"img = PILImage.create('lambo1.jpg')\n",
"predict(img)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/rudra/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:256: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
" warnings.warn(\n",
"/Users/rudra/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
" warnings.warn(value)\n",
"/Users/rudra/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:196: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
" warnings.warn(\n",
"/Users/rudra/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
" warnings.warn(value)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://127.0.0.1:7861/\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/plain": [
"(, 'http://127.0.0.1:7861/', None)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#|export\n",
"image = gr.inputs.Image(shape=(192,192))\n",
"label = gr.outputs.Label()\n",
"\n",
"interface = gr.Interface(fn=predict, inputs=image, outputs=label, examples=['lambo1.jpg', 'mercedes1.jpg'])\n",
"interface.launch(inline=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Export"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"from nbdev.export import nb_export\n",
"nb_export('app.ipynb', '.')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "a03200ae361ba04b33dfbb7697ae27a1e19c2e9be6094bfaf79232177e8f3033"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}