Colaboratory Notebook that hosts a streamlit app and creates an ngrok https tunnel for access.

streamlit_colab.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "streamlit_colab",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/tuffacton/da5a9b42c0a2e9e355353689f93c84b3/streamlit_colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YueD6bxr_Ndx",
        "colab_type": "text"
      },
      "source": [
        "Run all of the following to start the Streamlit demo!\n",
        "\n",
        "Modify with the [docs](https://docs.streamlit.io/) to prototype your own ML apps."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cPxfsHGb5_xh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip install streamlit -q"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GC3gSHfd6J9y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 230
        },
        "outputId": "b2397e92-84cf-4b70-b4b3-c36c45d17341"
      },
      "source": [
        "!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
        "!unzip -qq ngrok-stable-linux-amd64.zip"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-05-07 02:33:23--  https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
            "Resolving bin.equinox.io (bin.equinox.io)... 34.196.227.130, 34.194.73.153, 34.235.226.28, ...\n",
            "Connecting to bin.equinox.io (bin.equinox.io)|34.196.227.130|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 13773305 (13M) [application/octet-stream]\n",
            "Saving to: ‘ngrok-stable-linux-amd64.zip.2’\n",
            "\n",
            "\r          ngrok-sta   0%[                    ]       0  --.-KB/s               \rngrok-stable-linux- 100%[===================>]  13.13M  73.9MB/s    in 0.2s    \n",
            "\n",
            "2020-05-07 02:33:23 (73.9 MB/s) - ‘ngrok-stable-linux-amd64.zip.2’ saved [13773305/13773305]\n",
            "\n",
            "replace ngrok? [y]es, [n]o, [A]ll, [N]one, [r]ename: A\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oE8YZYsk-UGs",
        "colab_type": "text"
      },
      "source": [
        "**Use the output of this command as the link to your Streamlit app.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XMOoOLFT88ku",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "abd49142-668b-405e-b172-8bd235b9ad86"
      },
      "source": [
        "get_ipython().system_raw('./ngrok http 8501 &')\n",
        "! curl -s http://localhost:4040/api/tunnels | python3 -c \\\n",
        "    \"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])\""
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "http://e3b5ec48.ngrok.io\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SdNVtkKn-l-z",
        "colab_type": "text"
      },
      "source": [
        "**Ignore the output of this**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rUHzaig59IQ_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "outputId": "84ac4c0f-4314-4652-e1f9-23d591af0073"
      },
      "source": [
        "!streamlit hello"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[0m\n",
            "\u001b[34m\u001b[1m  You can now view your Streamlit app in your browser.\u001b[0m\n",
            "\u001b[0m\n",
            "\u001b[34m  Network URL: \u001b[0m\u001b[1mhttp://172.28.0.2:8501\u001b[0m\n",
            "\u001b[34m  External URL: \u001b[0m\u001b[1mhttp://35.243.143.25:8501\u001b[0m\n",
            "\u001b[0m\n",
            "\u001b[34m  Stopping...\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}