export-buzz-cache.ipynb

export-buzz-cache.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNKIgb2ygcEXgJSd66tjNtx",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/chidiwilliams/7c19d476d4248d6f6d4f8885f94a3de5/export-buzz-cache.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qTRs1zrAk6ub",
        "outputId": "d73d9499-9685-4cb8-aea8-8651176d87e3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'buzz'...\n",
            "remote: Enumerating objects: 3748, done.\u001b[K\n",
            "remote: Counting objects: 100% (1373/1373), done.\u001b[K\n",
            "remote: Compressing objects: 100% (393/393), done.\u001b[K\n",
            "remote: Total 3748 (delta 1001), reused 1189 (delta 863), pack-reused 2375\u001b[K\n",
            "Receiving objects: 100% (3748/3748), 33.01 MiB | 32.01 MiB/s, done.\n",
            "Resolving deltas: 100% (2031/2031), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/chidiwilliams/buzz || git -C \"buzz\" pull"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "!cd buzz; git fetch; pip install -r requirements.txt"
      ],
      "metadata": {
        "id": "ORxdpGiZldHT"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.chdir('/content/buzz')\n",
        "\n",
        "import pickle\n",
        "\n",
        "# TODO: Copy your tasks file into the \"/content\" folder using the \"Files\" menu on the left sidebar\n",
        "with open('/content/tasks', 'rb') as file:\n",
        "  try:\n",
        "    cache = pickle.load(file)\n",
        "  except ModuleNotFoundError:\n",
        "    pass"
      ],
      "metadata": {
        "id": "aynuoRrnqPCh"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from buzz.transcriber import write_output, OutputFormat\n",
        "\n",
        "for (i, task) in enumerate(cache):\n",
        "  write_output(f'/content/task-{i}.srt', task.segments, OutputFormat.SRT)\n",
        "\n",
        "# TODO: Right-click and refresh on the \"Files\" sidebar to see the output"
      ],
      "metadata": {
        "id": "9aG7gi55tdui"
      },
      "execution_count": 7,
      "outputs": []
    }
  ]
}