Adding Terminal Window to Jupyter Cells so all Colab users (free and pro) can train with Nerfstudio (#2870)

* adding terminal window to jupyter cells for free colab users to train and render

* updating torchaudio package dependency

* deleting viewer connection cell, replaced with ns-train's sharable URL viewer link

* fixing flying apostrophe

* fixing pip torch download installation typo

---------

Co-authored-by: Gina Wu <42229107+ginazhouhuiwu@users.noreply.github.com>

colab/demo.ipynb

@@ -74,7 +74,7 @@
         "\n",
         "%cd /content/\n",
         "!pip install --upgrade pip\n",
-        "!pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118\n",
+        "!pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118\n",
         "\n",
         "# Installing TinyCuda\n",
         "%cd /content/\n",
@@ -166,84 +166,6 @@
         "print(\"Data Processing Succeeded!\")"
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 928
-        },
-        "id": "VoKDxqEcjmfC",
-        "outputId": "d2919aa4-96dd-4e50-829f-289e4208882b"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "/content\n",
-            "\u001b[K\u001b[?25h/tools/node/bin/lt -> /tools/node/lib/node_modules/localtunnel/bin/lt.js\n",
-            "\u001b[K\u001b[?25h+ localtunnel@2.0.2\n",
-            "added 22 packages from 22 contributors in 2.07s\n",
-            "https://viewer.nerf.studio/?websocket_url=wss://cyan-facts-matter-34-91-1-218.loca.lt\n",
-            "You may need to click Refresh Page after you start training!\n"
-          ]
-        },
-        {
-          "data": {
-            "text/html": [
-              "\n",
-              "        <iframe\n",
-              "            width=\"100%\"\n",
-              "            height=\"800\"\n",
-              "            src=\"https://viewer.nerf.studio/?websocket_url=wss://cyan-facts-matter-34-91-1-218.loca.lt\"\n",
-              "            frameborder=\"0\"\n",
-              "            allowfullscreen\n",
-              "        ></iframe>\n",
-              "        "
-            ],
-            "text/plain": [
-              "<IPython.lib.display.IFrame at 0x7f1d0da6f950>"
-            ]
-          },
-          "execution_count": 2,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "#@markdown <h1>Set up and Start Viewer</h1>\n",
-        "\n",
-        "%cd /content\n",
-        "\n",
-        "# Install localtunnel\n",
-        "# We are using localtunnel https://github.com/localtunnel/localtunnel but ngrok could also be used\n",
-        "!npm install -g localtunnel\n",
-        "\n",
-        "# Tunnel port 7007, the default for\n",
-        "!rm url.txt 2> /dev/null\n",
-        "get_ipython().system_raw('lt --port 7007 >> url.txt 2>&1 &')\n",
-        "\n",
-        "import time\n",
-        "time.sleep(3) # the previous command needs time to write to url.txt\n",
-        "\n",
-        "\n",
-        "with open('url.txt') as f:\n",
-        "  lines = f.readlines()\n",
-        "websocket_url = lines[0].split(\": \")[1].strip().replace(\"https\", \"wss\")\n",
-        "# from nerfstudio.utils.io import load_from_json\n",
-        "# from pathlib import Path\n",
-        "# json_filename = \"nerfstudio/nerfstudio/viewer/app/package.json\"\n",
-        "# version = load_from_json(Path(json_filename))[\"version\"]\n",
-        "url = f\"https://viewer.nerf.studio/?websocket_url={websocket_url}\"\n",
-        "print(url)\n",
-        "print(\"You may need to click Refresh Page after you start training!\")\n",
-        "from IPython import display\n",
-        "display.IFrame(src=url, height=800, width=\"100%\")"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -256,8 +178,16 @@
         "#@markdown <h1>Start Training</h1>\n",
         "\n",
         "%cd /content\n",
+        "!pip install colab-xterm\n",
+        "%load_ext colabxterm\n",
+        "%env TERM=xterm\n",
+        "from IPython.display import clear_output\n",
+        "clear_output(wait=True)\n",
         "if os.path.exists(f\"data/nerfstudio/{scene}/transforms.json\"):\n",
-        "    !ns-train nerfacto --viewer.websocket-port 7007 nerfstudio-data --data data/nerfstudio/$scene --downscale-factor 4\n",
+        "    print(\"\\033[1m\" + \"Copy and paste the following command into the terminal window that pops up under this cell.\" + \"\\033[0m\")\n",
+        "    print(f\"ns-train nerfacto --viewer.websocket-port 7007 --viewer.make-share-url True nerfstudio-data --data data/nerfstudio/{scene} --downscale-factor 4\")\n",
+        "    print()\n",
+        "    %xterm\n",
         "else:\n",
         "    from IPython.core.display import display, HTML\n",
         "    display(HTML('<h3 style=\"color:red\">Error: Data processing did not complete</h3>'))\n",