{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'fastbook'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/home/ghost/pythoncode/bear_classifier/app.ipynb Cell 1\u001b[0m line \u001b[0;36m2\n\u001b[1;32m 1\u001b[0m get_ipython()\u001b[39m.\u001b[39msystem(\u001b[39m'\u001b[39m\u001b[39m [ -e /content ] && pip install -Uqq fastbook\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mfastbook\u001b[39;00m\n\u001b[1;32m 3\u001b[0m fastbook\u001b[39m.\u001b[39msetup_book()\n\u001b[1;32m 5\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mfastbook\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'fastbook'"
]
}
],
"source": [
"! [ -e /content ] && pip install -Uqq fastbook\n",
"import fastbook\n",
"fastbook.setup_book()\n",
"\n",
"from fastbook import *\n",
"from fastai.vision.widgets import *"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[KFatal error from pip prevented installation. Full pip output in file:\n",
" /home/ghost/.local/pipx/logs/cmd_2024-03-08_10.04.53_pip_errors.log\n",
"\n",
"Some possibly relevant errors from pip install:\n",
" \u001b[0m\u001b[31mERROR: Could not find a version that satisfies the requirement gradio (from versions: none)\u001b[0m\u001b[31m\n",
" \u001b[0m\u001b[31mERROR: No matching distribution found for gradio\u001b[0m\u001b[31m\n",
"\n",
"Error installing gradio.\n",
"\u001b[?25h\u001b[0m"
]
},
{
"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)",
"\u001b[1;32m/home/ghost/pythoncode/bear_classifier/app.ipynb Cell 2\u001b[0m line \u001b[0;36m3\n\u001b[1;32m 1\u001b[0m \u001b[39m# export\u001b[39;00m\n\u001b[1;32m 2\u001b[0m get_ipython()\u001b[39m.\u001b[39msystem(\u001b[39m'\u001b[39m\u001b[39m pipx install gradio\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mgradio\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mgr\u001b[39;00m\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'gradio'"
]
}
],
"source": [
"# export\n",
"! pipx install gradio\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"learn = load_learner('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"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": "3.11.8"
}
},
"nbformat": 4,
"nbformat_minor": 4
}