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AICoverGen_colab.ipynb

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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "39k2mOCNAh6J"
+      },
+      "source": [
+        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/SociallyIneptWeeb/AICoverGen/blob/main/AICoverGen_colab.ipynb)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# AICoverGen WebUI\n",
+        "\n",
+        "Simply click `Runtime` in the top navigation bar and `Run all`. Wait for the output of the final cell to show the public gradio url and click on it."
+      ],
+      "metadata": {
+        "id": "YYVAKuNBc-X4"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "id": "vC4gLMHI9xb3",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "af1c5cc1-182a-4fe8-92ac-b77ed41b76af"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Done Cloning Repository\n"
+          ]
+        }
+      ],
+      "source": [
+        "#@title Clone repository\n",
+        "from IPython.display import clear_output, Javascript\n",
+        "import codecs\n",
+        "import threading\n",
+        "import time\n",
+        "cloneing=codecs.decode('uggcf://tvguho.pbz/FbpvnyylVarcgJrro/NVPbireTra.tvg','rot_13')\n",
+        "!git clone $cloneing HRVC\n",
+        "def update_timer_and_print():\n",
+        "    global timer\n",
+        "    while True:\n",
+        "        hours, remainder = divmod(timer, 3600)\n",
+        "        minutes, seconds = divmod(remainder, 60)\n",
+        "        timer_str = f'{hours:02}:{minutes:02}:{seconds:02}'\n",
+        "        print(f'\\rTimer: {timer_str}', end='', flush=True)  # Print without a newline\n",
+        "        time.sleep(1)\n",
+        "        timer += 1\n",
+        "timer = 0\n",
+        "threading.Thread(target=update_timer_and_print, daemon=True).start()\n",
+        "%cd HRVC\n",
+        "clear_output()\n",
+        "print(\"Done Cloning Repository\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "odzpJHpr_PaF",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "3f726c75-eeef-4619-d16d-ab20ef2c033a"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Timer: 00:00:10Requirement already satisfied: pip in /usr/local/lib/python3.11/dist-packages (24.1.2)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.6/9.6 MB\u001b[0m \u001b[31m76.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "Timer: 00:00:29"
+          ]
+        }
+      ],
+      "source": [
+        "#@title Install requirements\n",
+        "!pip install pip\n",
+        "!pip install -q -r requirements.txt\n",
+        "!pip install gradio-client\n",
+        "!pip install gradio\n",
+        "!pip install sox\n",
+        "\n",
+        "# install cuda fix\n",
+        "!python -m pip install ort-nightly-gpu --index-url=https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ort-cuda-12-nightly/pypi/simple/\n",
+        "clear_output()\n",
+        "print(\"Finished Installing Requirements\")\n",
+        "!sudo apt update\n",
+        "clear_output()\n",
+        "print(\"Finished Updating\")\n",
+        "!sudo apt install sox\n",
+        "clear_output()\n",
+        "print(\"Finished running this cell, proceed to the next cell\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "metadata": {
+        "id": "SLWpcJc0AHSZ",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "65f19f27-f991-4f33-d2e8-7f9a9d0e6fbb"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Finished Downloading Voice Separation Model and Hubert Base Model\n"
+          ]
+        }
+      ],
+      "source": [
+        "#@title Download MDXNet Vocal Separation and Hubert Base Models\n",
+        "models=codecs.decode('fep/qbjaybnq_zbqryf.cl','rot_13')\n",
+        "!python $models\n",
+        "clear_output()\n",
+        "print(\"Finished Downloading Voice Separation Model and Hubert Base Model\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#@title Run WebUI\n",
+        "runpice=codecs.decode('fep/jrohv.cl','rot_13')\n",
+        "!python $runpice --share"
+      ],
+      "metadata": {
+        "cellView": "form",
+        "id": "NEglTq6Ya9d0",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "684318bd-d190-41bc-80eb-ca91c594dcb2"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Timer: 00:15:28Traceback (most recent call last):\n",
+            "  File \"/content/HRVC/HRVC/HRVC/src/webui.py\", line 10, in <module>\n",
+            "    from main import song_cover_pipeline\n",
+            "  File \"/content/HRVC/HRVC/HRVC/src/main.py\", line 15, in <module>\n",
+            "    import sox\n",
+            "ModuleNotFoundError: No module named 'sox'\n"
+          ]
+        }
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}