feat: added train notebook

trainDogCat.ipynb

@@ -0,0 +1,956 @@
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+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## GPU Check"
+      ],
+      "metadata": {
+        "id": "abRNUshGkERl"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "gpu_info = !nvidia-smi\n",
+        "gpu_info = '\\n'.join(gpu_info)\n",
+        "if gpu_info.find('failed') >= 0:\n",
+        "  print('Not connected to a GPU')\n",
+        "else:\n",
+        "  print(gpu_info)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Bj3utd9hhu6h",
+        "outputId": "3894d68e-f235-4dd6-e837-41139675fe5a"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Sat Oct 29 16:15:38 2022       \n",
+            "+-----------------------------------------------------------------------------+\n",
+            "| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
+            "|-------------------------------+----------------------+----------------------+\n",
+            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
+            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
+            "|                               |                      |               MIG M. |\n",
+            "|===============================+======================+======================|\n",
+            "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
+            "| N/A   60C    P8    10W /  70W |      0MiB / 15109MiB |      0%      Default |\n",
+            "|                               |                      |                  N/A |\n",
+            "+-------------------------------+----------------------+----------------------+\n",
+            "                                                                               \n",
+            "+-----------------------------------------------------------------------------+\n",
+            "| Processes:                                                                  |\n",
+            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
+            "|        ID   ID                                                   Usage      |\n",
+            "|=============================================================================|\n",
+            "|  No running processes found                                                 |\n",
+            "+-----------------------------------------------------------------------------+\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Install Gradio"
+      ],
+      "metadata": {
+        "id": "7onhw0j5kJbd"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "! pip install gradio"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1Pf-ER3Uiv9l",
+        "outputId": "fe730240-d327-4d78-b80e-7f2f77feed73"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Collecting gradio\n",
+            "  Downloading gradio-3.8-py3-none-any.whl (11.6 MB)\n",
+            "\u001b[K     |████████████████████████████████| 11.6 MB 13.9 MB/s \n",
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+            "  Downloading python-multipart-0.0.5.tar.gz (32 kB)\n",
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+            "Collecting rfc3986[idna2008]<2,>=1.3\n",
+            "  Downloading rfc3986-1.5.0-py2.py3-none-any.whl (31 kB)\n",
+            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from httpx->gradio) (2022.9.24)\n",
+            "Collecting httpcore<0.16.0,>=0.15.0\n",
+            "  Downloading httpcore-0.15.0-py3-none-any.whl (68 kB)\n",
+            "\u001b[K     |████████████████████████████████| 68 kB 7.0 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from jinja2->gradio) (2.0.1)\n",
+            "Collecting mdurl~=0.1\n",
+            "  Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)\n",
+            "Collecting mdit-py-plugins\n",
+            "  Downloading mdit_py_plugins-0.3.1-py3-none-any.whl (46 kB)\n",
+            "\u001b[K     |████████████████████████████████| 46 kB 4.4 MB/s \n",
+            "\u001b[?25hCollecting linkify-it-py~=1.0\n",
+            "  Downloading linkify_it_py-1.0.3-py3-none-any.whl (19 kB)\n",
+            "Collecting uc-micro-py\n",
+            "  Downloading uc_micro_py-1.0.1-py3-none-any.whl (6.2 kB)\n",
+            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio) (1.4.4)\n",
+            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio) (2.8.2)\n",
+            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio) (3.0.9)\n",
+            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio) (0.11.0)\n",
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+            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->gradio) (2022.5)\n",
+            "Collecting bcrypt>=3.1.3\n",
+            "  Downloading bcrypt-4.0.1-cp36-abi3-manylinux_2_24_x86_64.whl (593 kB)\n",
+            "\u001b[K     |████████████████████████████��███| 593 kB 63.1 MB/s \n",
+            "\u001b[?25hCollecting cryptography>=2.5\n",
+            "  Downloading cryptography-38.0.1-cp36-abi3-manylinux_2_24_x86_64.whl (4.0 MB)\n",
+            "\u001b[K     |████████████████████████████████| 4.0 MB 50.5 MB/s \n",
+            "\u001b[?25hCollecting pynacl>=1.0.1\n",
+            "  Downloading PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (856 kB)\n",
+            "\u001b[K     |████████████████████████████████| 856 kB 59.6 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.7/dist-packages (from cryptography>=2.5->paramiko->gradio) (1.15.1)\n",
+            "Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.12->cryptography>=2.5->paramiko->gradio) (2.21)\n",
+            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->gradio) (1.24.3)\n",
+            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->gradio) (3.0.4)\n",
+            "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn->gradio) (7.1.2)\n",
+            "Building wheels for collected packages: ffmpy, python-multipart\n",
+            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4712 sha256=30a69bb5c2b13d3f226683651d6c7e566842a49c9e840811e091e85f33d3cb6d\n",
+            "  Stored in directory: /root/.cache/pip/wheels/13/e4/6c/e8059816e86796a597c6e6b0d4c880630f51a1fcfa0befd5e6\n",
+            "  Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for python-multipart: filename=python_multipart-0.0.5-py3-none-any.whl size=31678 sha256=9cc4b9d0bfff456225d6cd5b036cc098475e4d97b6e6cf941c0552a6fc62ad0c\n",
+            "  Stored in directory: /root/.cache/pip/wheels/2c/41/7c/bfd1c180534ffdcc0972f78c5758f89881602175d48a8bcd2c\n",
+            "Successfully built ffmpy python-multipart\n",
+            "Installing collected packages: sniffio, mdurl, uc-micro-py, rfc3986, markdown-it-py, h11, anyio, starlette, pynacl, mdit-py-plugins, linkify-it-py, httpcore, cryptography, bcrypt, websockets, uvicorn, python-multipart, pydub, pycryptodome, paramiko, orjson, httpx, ffmpy, fastapi, gradio\n",
+            "Successfully installed anyio-3.6.2 bcrypt-4.0.1 cryptography-38.0.1 fastapi-0.85.1 ffmpy-0.3.0 gradio-3.8 h11-0.12.0 httpcore-0.15.0 httpx-0.23.0 linkify-it-py-1.0.3 markdown-it-py-2.1.0 mdit-py-plugins-0.3.1 mdurl-0.1.2 orjson-3.8.1 paramiko-2.11.0 pycryptodome-3.15.0 pydub-0.25.1 pynacl-1.5.0 python-multipart-0.0.5 rfc3986-1.5.0 sniffio-1.3.0 starlette-0.20.4 uc-micro-py-1.0.1 uvicorn-0.19.0 websockets-10.4\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Aggregate, process, clean, label, and version data"
+      ],
+      "metadata": {
+        "id": "6PtjDSNMk39S"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 303,
+          "referenced_widgets": [
+            "03b5d8d7c0e342edaf1bf8c0dae84706",
+            "76d0f00d16204d5e807a1fdde62d2b9f",
+            "85ce2407c68d478c88b238f77919ddd7",
+            "245826af4628483bb74015f45c5e52cf",
+            "4290384c4c8e4ba0929fcfd9c3183861",
+            "6139fd52cac140289bc2f3dfdeb28003",
+            "3c08c26d91574ca1ae9d9738fc0294e0",
+            "1cf6d579c80a481d87ca48651bf14aed",
+            "d7916a66c6c74f38a78ac8ae5b45521a",
+            "81f3a190007c4d099b6c8973aaaa7023",
+            "334cea03105d4886ac4e689c907dd543"
+          ]
+        },
+        "id": "FD1OBFNshXD3",
+        "outputId": "aca8824c-aac5-4e49-910c-1da414b3fe27"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "<style>\n",
+              "    /* Turns off some styling */\n",
+              "    progress {\n",
+              "        /* gets rid of default border in Firefox and Opera. */\n",
+              "        border: none;\n",
+              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+              "        background-size: auto;\n",
+              "    }\n",
+              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+              "    }\n",
+              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+              "        background: #F44336;\n",
+              "    }\n",
+              "</style>\n"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "    <div>\n",
+              "      <progress value='811712512' class='' max='811706944' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+              "      100.00% [811712512/811706944 00:24&lt;00:00]\n",
+              "    </div>\n",
+              "    "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
+            "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
+            "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n",
+            "  warnings.warn(msg)\n",
+            "Downloading: \"https://download.pytorch.org/models/resnet18-f37072fd.pth\" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "  0%|          | 0.00/44.7M [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "03b5d8d7c0e342edaf1bf8c0dae84706"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "<style>\n",
+              "    /* Turns off some styling */\n",
+              "    progress {\n",
+              "        /* gets rid of default border in Firefox and Opera. */\n",
+              "        border: none;\n",
+              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+              "        background-size: auto;\n",
+              "    }\n",
+              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+              "    }\n",
+              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+              "        background: #F44336;\n",
+              "    }\n",
+              "</style>\n"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: left;\">\n",
+              "      <th>epoch</th>\n",
+              "      <th>train_loss</th>\n",
+              "      <th>valid_loss</th>\n",
+              "      <th>error_rate</th>\n",
+              "      <th>time</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <td>0</td>\n",
+              "      <td>0.213008</td>\n",
+              "      <td>0.040320</td>\n",
+              "      <td>0.010825</td>\n",
+              "      <td>00:55</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "<style>\n",
+              "    /* Turns off some styling */\n",
+              "    progress {\n",
+              "        /* gets rid of default border in Firefox and Opera. */\n",
+              "        border: none;\n",
+              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+              "        background-size: auto;\n",
+              "    }\n",
+              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+              "    }\n",
+              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+              "        background: #F44336;\n",
+              "    }\n",
+              "</style>\n"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: left;\">\n",
+              "      <th>epoch</th>\n",
+              "      <th>train_loss</th>\n",
+              "      <th>valid_loss</th>\n",
+              "      <th>error_rate</th>\n",
+              "      <th>time</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <td>0</td>\n",
+              "      <td>0.070559</td>\n",
+              "      <td>0.033851</td>\n",
+              "      <td>0.010825</td>\n",
+              "      <td>00:53</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>"
+            ]
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "from fastai.vision.all import *\n",
+        "path = untar_data(URLs.PETS)\n",
+        "files = get_image_files(path/\"images\")\n",
+        "def is_cat(x): return x[0].isupper() \n",
+        "dls = ImageDataLoaders.from_name_func(\n",
+        "    path,\n",
+        "    files,\n",
+        "    pat='(.+)_\\d+.jpg',\n",
+        "    splitter=RandomSplitter(valid_pct=0.2, seed=42),\n",
+        "    label_func=is_cat, \n",
+        "    item_tfms=Resize(192),\n",
+        "    batch_tfms=aug_transforms(size=224, min_scale=0.75))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Find model arch and weights / Write and debug model code"
+      ],
+      "metadata": {
+        "id": "_17JIq8glHTs"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "learn = vision_learner(dls, resnet18, metrics=error_rate)\n",
+        "learn.fine_tune(1)\n",
+        "learn.path = Path('.')\n",
+        "learn.export('model.pkl')"
+      ],
+      "metadata": {
+        "id": "YwdkNpnak2T0"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Deploy model"
+      ],
+      "metadata": {
+        "id": "RBxVHB9jlTGj"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "learn = load_learner('model.pkl')"
+      ],
+      "metadata": {
+        "id": "wWaLAeHUhZ3A"
+      },
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "categories = ('Dog', 'Cat')"
+      ],
+      "metadata": {
+        "id": "YKRiQRudh_FY"
+      },
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def classify_image(img):\n",
+        "    pred, idx, probs = learn.predict(img)\n",
+        "    return dict(zip(categories, map(float, probs)))"
+      ],
+      "metadata": {
+        "id": "aIInhbiOh_xG"
+      },
+      "execution_count": 10,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#hide_output\n",
+        "import gradio as gr\n",
+        "\n",
+        "image = gr.inputs.Image(shape=(192, 192))\n",
+        "label = gr.outputs.Label()\n",
+        "examples = ['Dog.jpg', 'cat.jpg', 'dunno.jpg']\n",
+        "title = \"Dogs V Cats Classifier\"\n",
+        "description = \"A classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces.\"\n",
+        "interpretation='default'\n",
+        "enable_queue=True\n",
+        "\n",
+        "intf = gr.Interface(\n",
+        "    fn=classify_image,\n",
+        "    inputs=image,\n",
+        "    outputs=label,\n",
+        "    examples=examples,\n",
+        "    title=title,\n",
+        "    description=description,\n",
+        "    interpretation=interpretation,\n",
+        "    enable_queue=enable_queue\n",
+        ")\n",
+        "\n",
+        "intf.launch(inline=True, share=True)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 836
+        },
+        "id": "8pOqkLe3igZp",
+        "outputId": "b8d290b2-eac4-41c3-d14d-6a974ac701b9"
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
+            "  \"Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\",\n",
+            "/usr/local/lib/python3.7/dist-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
+            "  warnings.warn(value)\n",
+            "/usr/local/lib/python3.7/dist-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
+            "  \"Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\",\n",
+            "/usr/local/lib/python3.7/dist-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
+            "  warnings.warn(value)\n",
+            "/usr/local/lib/python3.7/dist-packages/gradio/deprecation.py:40: UserWarning: `enable_queue` is deprecated in `Interface()`, please use it within `launch()` instead.\n",
+            "  warnings.warn(value)\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n",
+            "Running on public URL: https://17c82fbf8dced356.gradio.app\n",
+            "\n",
+            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "<div><iframe src=\"https://17c82fbf8dced356.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(<gradio.routes.App at 0x7fa2568dca90>,\n",
+              " 'http://127.0.0.1:7861/',\n",
+              " 'https://17c82fbf8dced356.gradio.app')"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ]
+    }
+  ]
+}