add app.py

.ipynb_checkpoints/app-checkpoint.ipynb

@@ -0,0 +1,82 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# /default_exp app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# export\n",
+    "from fastai.vision.all import *\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": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app.ipynb

@@ -0,0 +1,140 @@
+{
+ "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      <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W0sZmlsZQ%3D%3D?line=0'>1</a>\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----> <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W0sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mfastbook\u001b[39;00m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W0sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m fastbook\u001b[39m.\u001b[39msetup_book()\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W0sZmlsZQ%3D%3D?line=4'>5</a>\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      <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W1sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39m# export\u001b[39;00m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W1sZmlsZQ%3D%3D?line=1'>2</a>\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----> <a href='vscode-notebook-cell:/home/ghost/pythoncode/bear_classifier/app.ipynb#W1sZmlsZQ%3D%3D?line=2'>3</a>\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
+}

app.py

@@ -1,7 +1,19 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb.
+
+# %% auto 0
+__all__ = ['path', 'learn_inf', 'btn_upload', 'pred', 'pred_idx', 'probs']
+
+# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 24
+from fastai.vision.widgets import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 25
+# path = Path('bears')
+learn_inf = load_learner('export.pkl')
+
+# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 26
+btn_upload = widgets.FileUpload()
+btn_upload
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 30
+pred,pred_idx,probs = learn_inf.predict(img)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64fcc399f6556d2c54c26d69344310010ac3d9a024b9926fb0bf1a5838eade6d
+size 46969470