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{
"cells": [
{
"cell_type": "markdown",
"id": "77fbe5ae",
"metadata": {},
"source": [
"# Film Stars Gradio App"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "37d47b60",
"metadata": {},
"outputs": [],
"source": [
"#|default_exp app"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "96a084dc",
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"from fastai.vision.all import *\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0dd4db80",
"metadata": {},
"outputs": [],
"source": [
"pic = 'Penelope Cruz.jpg'\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf73c204",
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"learn50 = load_learner('filmstars50.pkl')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "18bfac9a",
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"labels = learn50.dls.vocab\n",
"def classify_image(pic):\n",
" pred,pred_idx,probs = learn50.predict(PILImage.create(pic))\n",
" #ps, idxs = probs.topk(3)\n",
" return {labels[i]: float(probs[i]) for i in range(len(labels))}\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d49e1a0e",
"metadata": {},
"outputs": [],
"source": [
"classify_image(pic);"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "773dab23",
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"image = gr.components.Image()\n",
"examples = ['Angelina Jolie.jpg','Penelope Cruz.jpg','Jack Nicholson.jpg']\n",
"title = \"Identify film stars similar to your image\"\n",
"description = \"Try uploading a photograph of yourself\"\n",
"article = \"<p style='text-align: center'><a href='https://science4performance.com/2023/01/01/eddy-goes-to-hollywood/' target='_blank'>Blog post</a></p>\"\n",
"intfr = gr.Interface(fn=classify_image, inputs=image, outputs=gr.components.Label(num_top_classes=3), examples=examples, title=title, description=description, article=article)\n",
"intfr.launch(inline=False)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "705f241c",
"metadata": {},
"outputs": [],
"source": [
"from nbdev.export import nb_export\n",
"nb_export('FilmStarsApp.ipynb')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cbaa52cc",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python (base)",
"language": "python",
"name": "base"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
},
"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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