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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "d2c2b738",
"metadata": {},
"outputs": [],
"source": [
"from fastai.vision.all import *\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b92d24f3",
"metadata": {},
"outputs": [],
"source": [
"# search_terms = ('hard hat','construction gloves','safety glasses','construction boots', 'screw driver','hammer','f150')\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "34ebdca4",
"metadata": {},
"outputs": [],
"source": [
"# path = Path('construction_photos')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "04347f65",
"metadata": {},
"outputs": [],
"source": [
"# dls = DataBlock(\n",
"# blocks=(ImageBlock,CategoryBlock),\n",
"# getters=None,\n",
"# n_inp=None,\n",
"# item_tfms=[Resize(224,method='squish')],\n",
"# get_items=get_image_files,\n",
"# splitter=RandomSplitter(seed=42),\n",
"# get_y=parent_label,\n",
"# ).dataloaders(path,bs=128)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "85098e65",
"metadata": {},
"outputs": [],
"source": [
"learn = load_learner('construction_things.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a6ed198b",
"metadata": {},
"outputs": [],
"source": [
"def classify_image(img):\n",
" pred,idx,probs = learn.predict(img)\n",
" return dict(zip(dls.vocab,map(float,probs)))\n",
"# classify_image(get_image_files(path)[100])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "b2f582a8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://127.0.0.1:7860/\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/plain": [
"(<fastapi.applications.FastAPI at 0x7ff6a8761430>,\n",
" 'http://127.0.0.1:7860/',\n",
" None)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"image = gr.inputs.Image(shape=(192,192))\n",
"label = gr.outputs.Label()\n",
"interface = gr.Interface(fn=classify_image,inputs=image,outputs=label)\n",
"# interface.launch(inline=True)\n",
"interface.launch(inline=False)"
]
}
],
"metadata": {
"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": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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