Spaces:
Runtime error
Runtime error
File size: 4,087 Bytes
c91e778 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "250fcb86",
"metadata": {},
"outputs": [],
"source": [
"#|default_exp app"
]
},
{
"cell_type": "markdown",
"id": "ea967051",
"metadata": {},
"source": [
"# Powerline app"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "3f54ef95",
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'gradio'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[12], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m#| export\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mfastai\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvision\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mall\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mgradio\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mgr\u001b[39;00m\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'gradio'"
]
}
],
"source": [
"#| export\n",
"from fastai.vision.all import *\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d25179ca",
"metadata": {},
"outputs": [],
"source": [
"#| export\n",
"learn = load_learner('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d752f05b",
"metadata": {},
"outputs": [],
"source": [
"#| export\n",
"labels = learn.dls.vocab\n",
"\n",
"def predict(img):\n",
" img = PILImage.create(img)\n",
" pred,pred_idx,probs = learn.predict(img)\n",
" return {labels[i]: float(probs[i]) for i in range(len(labels))}"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "80d55893",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'gr' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgr\u001b[49m\u001b[38;5;241m.\u001b[39mInterface(fn\u001b[38;5;241m=\u001b[39mpredict, inputs\u001b[38;5;241m=\u001b[39mgr\u001b[38;5;241m.\u001b[39minputs\u001b[38;5;241m.\u001b[39mImage(shape\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m512\u001b[39m, \u001b[38;5;241m512\u001b[39m)), outputs\u001b[38;5;241m=\u001b[39mgr\u001b[38;5;241m.\u001b[39moutputs\u001b[38;5;241m.\u001b[39mLabel(num_top_classes\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m))\u001b[38;5;241m.\u001b[39mlaunch(share\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
"\u001b[0;31mNameError\u001b[0m: name 'gr' is not defined"
]
}
],
"source": [
"#| export\n",
"gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9e304d06",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.8.17"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|