initial app commit

app.ipynb

@@ -0,0 +1,133 @@
+{
+ "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
+}

requirements.txt

@@ -0,0 +1 @@
+fastai