diff --git a/notebooks/piper_multilingual_training_notebook.ipynb b/notebooks/piper_multilingual_training_notebook.ipynb index 4f624ab..b0fe585 100644 --- a/notebooks/piper_multilingual_training_notebook.ipynb +++ b/notebooks/piper_multilingual_training_notebook.ipynb @@ -5,7 +5,7 @@ "colab": { "provenance": [], "gpuType": "T4", - "authorship_tag": "ABX9TyNeXmx3dJVbizlWMzkfdGIj", + "authorship_tag": "ABX9TyNzgUqXPdUDnC0fjtxDZE0P", "include_colab_link": true }, "kernelspec": { @@ -33,6 +33,7 @@ "cell_type": "markdown", "source": [ "# [Piper](https://github.com/rhasspy/piper) training notebook\n", + "## ![Piper](https://contribute.rhasspy.org/img/logo.png)\n", "\n", "Notebook made by [rmcpantoja](http://github.com/rmcpantoja)" ], @@ -107,7 +108,9 @@ "source": [ "#@markdown ## Install software\n", "#@markdown In this cell the synthesizer and its necessary dependencies to execute the training will be installed. (this may take a while)\n", + "\n", "#@markdown **Note: Please restart the runtime environment when the cell execution is finished. Then you can continue with the training section.**\n", + "\n", "# clone:\n", "!git clone https://github.com/rmcpantoja/piper\n", "%cd piper/src/python\n", @@ -231,11 +234,15 @@ " return languages[code]\n", "\n", "final_language = _get_language(language)\n", + "#@markdown ### Choose a name for your model:\n", + "model_name = \"Test\" #@param {type:\"string\"}\n", + "#@markdown ---\n", "# output:\n", "#@markdown ### Choose the working folder. (recommended to save to Drive)\n", "\n", "#@markdown The working folder will be used in preprocessing, but also in training the model.\n", - "output_dir = \"/content/drive/MyDrive/colab/piper\" #@param {type:\"string\"}\n", + "output_path = \"/content/drive/MyDrive/colab/piper\" #@param {type:\"string\"}\n", + "output_dir = output_path+\"/\"+model_name\n", "if not os.path.exists(output_dir):\n", " os.makedirs(output_dir)\n", "#@markdown ---\n",