{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7cd0d8fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7195af18",
   "metadata": {},
   "source": [
    "## Gradio Pets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "44eb0ad3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr\n",
    "import timm\n",
    "from timm.layers import convert_splitbn_model, convert_sync_batchnorm, set_fast_norm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b5cce4a-ba43-4b14-9855-90db162a52df",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "print(torch.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3295ef11",
   "metadata": {},
   "outputs": [],
   "source": [
    "im = PILImage.create('basset.jpg')\n",
    "im.thumbnail((224,224))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae2bc6ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#export\n",
    "learn = load_learner('model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e0bf9da",
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0419ed3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#export\n",
    "categories = learn.dls.vocab\n",
    "\n",
    "def classify_image(img):\n",
    "    pred,idx,probs = learn.predict(img)\n",
    "    return dict(zip(categories, map(float,probs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "762dec00",
   "metadata": {},
   "outputs": [],
   "source": [
    "classify_image('basset.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "930cf172",
   "metadata": {},
   "outputs": [],
   "source": [
    "#export\n",
    "image = gr.inputs.Image(shape=(192, 192))\n",
    "label = gr.outputs.Label()\n",
    "examples = ['basset.jpg']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f463e23",
   "metadata": {},
   "outputs": [],
   "source": [
    "#export\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82774c08",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "m = learn.model\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10d7900d",
   "metadata": {},
   "outputs": [],
   "source": [
    "l = m.get_submodule('0.model.stem.1')\n",
    "list(l.parameters())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "008537b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "l = m.get_submodule('0.model.stages.0.blocks.1.mlp.fc1')\n",
    "list(l.parameters())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff9d5c73",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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