collab.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install edge-tts\n",
        "!pip install gradio\n",
        "!pip install asyncio\n",
        "!git clone https://github.com/hinaichigo-fox/rus-edge-tts-webui.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yV2b2V2vH896",
        "outputId": "c279c37c-3310-4e83-f823-4e78555271ae"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Cloning into 'rus-edge-tts-webui'...\n",
            "remote: Enumerating objects: 39, done.\u001b[K\n",
            "remote: Counting objects: 100% (39/39), done.\u001b[K\n",
            "remote: Compressing objects: 100% (37/37), done.\u001b[K\n",
            "remote: Total 39 (delta 16), reused 0 (delta 0), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (39/39), 9.08 MiB | 14.64 MiB/s, done.\n",
            "Resolving deltas: 100% (16/16), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 591
        },
        "id": "hsOlLAjoH8O_",
        "outputId": "775fa791-4c89-4563-97cf-6cb95a271c04"
      },
      "outputs": [
        {
          "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://129c5d18926c205c8c.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://129c5d18926c205c8c.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "import gradio as gr\n",
        "import edge_tts\n",
        "import asyncio\n",
        "import os\n",
        "# https://speech.platform.bing.com/consumer/speech/synthesize/readaloud/voices/list?trustedclienttoken=6A5AA1D4EAFF4E9FB37E23D68491D6F4 - там голоса брать. думаю поймете. ShortName короче\n",
        "SUPPORTED_VOICES = {\n",
        "    'DmitryNeural-Руский(муж.)': 'ru-RU-DmitryNeural',\n",
        "    'SvetlanaNeural-Русский(жен.)': 'ru-RU-SvetlanaNeural',\n",
        "    'OstapNeural-Украинский(муж.)': 'uk-UA-OstapNeural',\n",
        "    'PolinaNeural-Украинский(жен.)': 'uk-UA-PolinaNeural'\n",
        "}\n",
        "\n",
        "# Смена голоса\n",
        "def changeVoice(voices):\n",
        "    example = SUPPORTED_VOICES[voices]\n",
        "    example_file = os.path.join(os.path.dirname(__file__), \"example/\"+example+\".wav\")\n",
        "    return example_file\n",
        "\n",
        "# Преобразование текста в речь\n",
        "async def textToSpeech(text, voices, rate, volume):\n",
        "    output_file = \"output.mp3\"\n",
        "    voices = SUPPORTED_VOICES[voices]\n",
        "    if (rate >= 0):\n",
        "        rates = rate = \"+\" + str(rate) + \"%\"\n",
        "    else:\n",
        "        rates = str(rate) + \"%\"\n",
        "    if (volume >= 0):\n",
        "        volumes = \"+\" + str(volume) + \"%\"\n",
        "    else:\n",
        "        volumes = str(volume) + \"%\"\n",
        "    communicate = edge_tts.Communicate(text,\n",
        "                                       voices,\n",
        "                                       rate=rates,\n",
        "                                       volume=volumes,\n",
        "                                       proxy=None)\n",
        "    await communicate.save(output_file)\n",
        "    audio_file = os.path.join(os.path.dirname(__file__), \"output.mp3\")\n",
        "    if (os.path.exists(audio_file)):\n",
        "        return audio_file\n",
        "    else:\n",
        "        raise gr.Error(\"Преобразование не удалось！\")\n",
        "        return FileNotFoundError\n",
        "\n",
        "\n",
        "# Сбросить результат конвертации\n",
        "def clearSpeech():\n",
        "    output_file = os.path.join(os.path.dirname(__file__), \"output.mp3\")\n",
        "    if (os.path.exists(output_file)):\n",
        "        os.remove(output_file)\n",
        "    return None, None\n",
        "\n",
        "\n",
        "with gr.Blocks(css=\"style.css\", title=\"Преобразование текста в речь\") as demo:\n",
        "    gr.Markdown(\"\"\"\n",
        "    # Преобразование текста в речь через Microsoft Edge\n",
        "    \"\"\")\n",
        "    with gr.Row():\n",
        "        with gr.Column():\n",
        "            text = gr.TextArea(label=\"Текст\", elem_classes=\"text-area\")\n",
        "            btn = gr.Button(\"Сгенерировать\", elem_id=\"submit-btn\")\n",
        "        with gr.Column():\n",
        "            voices = gr.Dropdown(choices=[\n",
        "                \"DmitryNeural-Руский(муж.)\", \"SvetlanaNeural-Русский(жен.)\", \"OstapNeural-Украинский(муж.)\", \"PolinaNeural-Украинский(жен.)\"\n",
        "            ],\n",
        "                                 value=\"DmitryNeural-Руский(муж.)\",\n",
        "                                 label=\"Голос\",\n",
        "                                 info=\"Пожалуйста, выберите голос\",\n",
        "                                 interactive=True)\n",
        "\n",
        "            example = gr.Audio(label=\"Пример голоса\",\n",
        "                              value=\"/content/rus-edge-tts-webui/example/ru-RU-DmitryNeural.wav\",\n",
        "                              interactive=False,\n",
        "                              elem_classes=\"example\")\n",
        "\n",
        "            voices.change(fn=changeVoice,inputs=voices,outputs=example)\n",
        "            rate = gr.Slider(-100,\n",
        "                             100,\n",
        "                             step=1,\n",
        "                             value=0,\n",
        "                             label=\"Увеличение / уменьшение скорости речи\",\n",
        "                             info=\"Скорость речи быстрее / медленнее\",\n",
        "                             interactive=True)\n",
        "\n",
        "            volume = gr.Slider(-100,\n",
        "                               100,\n",
        "                               step=1,\n",
        "                               value=0,\n",
        "                               label=\"Увеличение / уменьшение громкости звука\",\n",
        "                               info=\"Увеличить / уменьшить громкость звука\",\n",
        "                               interactive=True)\n",
        "            audio = gr.Audio(label=\"Результат\",\n",
        "                             interactive=False,\n",
        "                             elem_classes=\"audio\")\n",
        "            btn.click(fn=textToSpeech,\n",
        "                      inputs=[text, voices, rate, volume],\n",
        "                      outputs=[audio])\n",
        "\n",
        "if __name__ == \"__main__\":\n",
        "    demo.launch(share=True)\n"
      ]
    }
  ]
}