441 lines
21 KiB
Plaintext
441 lines
21 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "H-WKVp4Uukcl"
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},
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"source": [
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"#Install Server Requirements\n",
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"This should be run on a minimum of a T4 runtime, though it will run on a CPU only session, however long TTS generations may time out/error.\n",
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"\n",
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"This is a **work in progress**. Known issues:\n",
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"\n",
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"- The 1st TTS generation has a brief stutter.\n",
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"- RVC is not yet working.\n",
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"- Transcoding/ffmpeg isnt working.\n",
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"- Things yet to do on selecting your first model and other configuration setups.\n",
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"\n",
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"If you enable DeepSpeed for XTTS models, DeepSpeed has to compile on the 1st TTS generation which can take about 90 seconds. After that it should be fine."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"cellView": "form",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "W6ls-RHTQeZv",
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"outputId": "a20360b3-a5cb-48c5-b885-db89e8c143f0"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"************************************\n",
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"** Server requirements installed ***\n",
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"*** Please proceed to next step ****\n",
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"************************************\n",
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"\n"
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]
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}
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],
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"source": [
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"#@markdown Mounting your Google Drive allows you to drag and drop samples/models via the `drive/Mydrive` path. This allows you<br>\n",
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"#@markdown to store or use specific audio samples or finetuned models.<br><br>\n",
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"#@markdown **Audio samples** need to be placed in `alltalk_tts/voices`<br>\n",
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"#@markdown **XTTS models** need to be placed in `alltalk_tts/models/xtts/{yourmodelfolderhere}`<br>\n",
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"mount_gdrive = False #@param{type:\"boolean\"}\n",
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"\n",
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"if mount_gdrive:\n",
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" from google.colab import drive\n",
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" drive.mount('/content/drive')\n",
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"from IPython.display import clear_output\n",
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"print(\"*******************************************************************\")\n",
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"print(\"** Installing server requirements. This will take 5-10 minutes ****\")\n",
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"print(\"*******************************************************************\")\n",
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"!apt install libasound2-dev portaudio19-dev libportaudio2 libportaudiocpp0 libaio-dev espeak-ng > '/dev/null' 2>&1\n",
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"clear_output()\n",
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"print(\"************************\")\n",
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"print(\"*** Cloning AllTalk ****\")\n",
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"print(\"************************\\n\")\n",
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"!git clone -b alltalkbeta https://github.com/erew123/alltalk_tts\n",
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"clear_output()\n",
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"print(\"\\n********************************\")\n",
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"print(\"*** Installing Requirements ****\")\n",
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"print(\"********************************\\n\")\n",
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"!python -m pip install --upgrade \"pip<24.1\"\n",
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"!pip install --quiet -r /content/alltalk_tts/system/requirements/requirements_colab.txt\n",
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"clear_output()\n",
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"print(\"\\n*****************************\")\n",
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"print(\"*** Installing DeepSpeed ****\")\n",
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"print(\"*****************************\\n\")\n",
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"!pip install deepspeed\n",
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"!pip install orjson\n",
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"!pip install faiss-cpu\n",
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"!pip install fairseq\n",
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"clear_output()\n",
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"print(\"\\n******************************\")\n",
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"print(\"*** Installing Cloudflare ****\")\n",
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"print(\"******************************\\n\")\n",
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"# Install cloudflare\n",
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"!wget -q https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb > '/dev/null' 2>&1\n",
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"!apt install ./cloudflared-linux-amd64.deb aria2 > '/dev/null' 2>&1\n",
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"!rm cloudflared-linux-amd64.deb > '/dev/null' 2>&1\n",
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"!python -m spacy download en_core_web_md\n",
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"clear_output()\n",
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"print(\"\\n***************************\")\n",
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"print(\"*** Installing Cutlass ****\")\n",
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"print(\"***************************\\n\")\n",
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"# Clone the CUTLASS repository\n",
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"!git clone https://github.com/NVIDIA/cutlass.git\n",
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"!export CUTLASSPATH=/content/cutlass\n",
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"!sudo curl -L https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-linux64-gpl.tar.xz -o /usr/local/bin/ffmpeg.tar.xz\n",
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"clear_output()\n",
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"%cd /usr/local/bin/\n",
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"clear_output()\n",
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"!7z e /usr/local/bin/ffmpeg.tar.xz -y\n",
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"clear_output()\n",
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"!7z e /usr/local/bin/ffmpeg.tar -y\n",
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"clear_output()\n",
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"!sudo chmod a+rx /usr/local/bin/ffmpeg\n",
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"clear_output()\n",
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"!pip uninstall jax -y\n",
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"clear_output()\n",
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"print(\"************************************\")\n",
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"print(\"** Server requirements installed ***\")\n",
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"print(\"*** Please proceed to next step ****\")\n",
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"print(\"************************************\\n\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "2nk26r66RQ23"
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},
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"source": [
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"\n",
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"# Start AllTalk"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"cellView": "form",
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"id": "9PCQhSoiWvhL",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "20c6e4b0-7075-4d7c-f703-3b90e373414f"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"[AllTalk TTS]\u001b[94m _ _ _ \u001b[1;35m_____ _ _ \u001b[0m _____ _____ ____ \n",
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"[AllTalk TTS]\u001b[94m / \\ | | |\u001b[1;35m_ _|_ _| | | __ \u001b[0m |_ _|_ _/ ___| \n",
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"[AllTalk TTS]\u001b[94m / _ \\ | | |\u001b[1;35m | |/ _` | | |/ / \u001b[0m | | | | \\___ \\ \n",
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"[AllTalk TTS]\u001b[94m / ___ \\| | |\u001b[1;35m | | (_| | | < \u001b[0m | | | | ___) |\n",
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"[AllTalk TTS]\u001b[94m /_/ \\_\\_|_|\u001b[1;35m |_|\\__,_|_|_|\\_\\ \u001b[0m |_| |_| |____/ \n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[92mConfig file update: \u001b[93mNo Updates required\u001b[0m\n",
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"[AllTalk TTS] \u001b[92mStart-up Mode : \u001b[93mStandalone mode\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[92mThis is the first time startup. Please download a start TTS model.\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[94mAvailable First Time Start-up models:\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[93m1. \u001b[94mpiper - piper\u001b[0m\n",
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"[AllTalk TTS] \u001b[93m2. \u001b[94mvits - tts_models--en--vctk--vits\u001b[0m\n",
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"[AllTalk TTS] \u001b[93m3. \u001b[94mxtts - xttsv2_2.0.3\u001b[0m\n",
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"[AllTalk TTS] \u001b[93m4.\u001b[94m I have my own models already\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[94mIn \u001b[91m60 seconds\u001b[0m \u001b[94ma Piper model will be \u001b[91mdownloaded automatically.\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[92mEnter your choice 1-4: \u001b[0m \n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] No input received. Proceeding with the default model (piper).\n",
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"/content/alltalk_tts/models/piper/en_US-ljspeech-high.onnx: 100% 114M/114M [00:01<00:00, 80.8MiB/s]\n",
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"/content/alltalk_tts/models/piper/en_US-ljspeech-high.onnx.json: 100% 4.97k/4.97k [00:00<00:00, 14.9MiB/s]\n",
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"[AllTalk TTS] piper model downloaded and configuration updated successfully.\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[93mIf you have you have UPGRADED from v1 ensure you have re-installed\u001b[0m\n",
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"[AllTalk TTS] \u001b[93mthe requirements. Otherwise you will get failures and errors!\u001b[0m\n",
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"[AllTalk TTS] \u001b[93mOn Linux ignore the \u001b[0m'sparse_attn requires a torch version' \u001b[93mand\u001b[0m\n",
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"[AllTalk TTS] \u001b[0m'using untested triton version' \u001b[93mmessages.\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[92mWAV file deletion :\u001b[93m Disabled\u001b[0m\n",
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"[AllTalk TTS] \u001b[92mGithub updated :\u001b[93m 1st July 2024 at 08:57\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[94mGoogle Colab Detected\u001b[00m\n",
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"[AllTalk TTS]\n",
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"[AllTalk ENG] \u001b[92mTranscoding :\u001b[93m ffmpeg found\u001b[0m\n",
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"\u001b[93m [WARNING] \u001b[0m Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH\n",
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"\u001b[93m [WARNING] \u001b[0m NVIDIA Inference is only supported on Ampere and newer architectures\n",
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"\u001b[93m [WARNING] \u001b[0m sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3\n",
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"\u001b[93m [WARNING] \u001b[0m using untested triton version (2.3.1), only 1.0.0 is known to be compatible\n",
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"[AllTalk ENG] \u001b[92mDeepSpeed version :\u001b[93m 0.14.4 \u001b[0m\n",
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"[AllTalk ENG] \u001b[92mPython Version :\u001b[93m 3.10.12\u001b[0m\n",
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"[AllTalk ENG] \u001b[92mPyTorch Version :\u001b[93m 2.3.1+cu121\u001b[0m\n",
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"[AllTalk ENG] \u001b[92mCUDA Version :\u001b[93m 12.1\u001b[0m\n",
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"[AllTalk ENG]\n",
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"[AllTalk ENG]\u001b[94m Model/Engine :\u001b[93m Piper\u001b[94m Ready\u001b[0m\n",
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"[AllTalk ENG] \u001b[94mLoad time :\u001b[93m 0.00 seconds.\u001b[0m\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] \u001b[94mAPI Address :\u001b[00m \u001b[92mhttps://refresh-jackson-firefox-elementary.trycloudflare.com\u001b[00m\n",
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"[AllTalk TTS] \u001b[94mGradio Light:\u001b[00m \u001b[92mhttps://lawsuit-effectively-assessing-z.trycloudflare.com\u001b[00m\n",
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"[AllTalk TTS] \u001b[94mGradio Dark :\u001b[00m \u001b[92mhttps://lawsuit-effectively-assessing-z.trycloudflare.com?__theme=dark\u001b[00m\n",
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"[AllTalk TTS]\n",
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"themes/theme_schema@0.0.1.json: 100% 13.1k/13.1k [00:00<00:00, 45.7MB/s]\n",
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"[AllTalk TTS] Please use \u001b[91mCtrl+C\u001b[0m when exiting AllTalk otherwise a\n",
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"[AllTalk TTS] subprocess may continue running in the background.\n",
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"[AllTalk TTS]\n",
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"[AllTalk TTS] AllTalk Server Ready\n",
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"Downloading LICENSE.txt...\n",
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"100% 4.01k/4.01k [00:00<00:00, 11.6MiB/s]\n",
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"Downloading README.md...\n",
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"100% 4.26k/4.26k [00:00<00:00, 13.0MiB/s]\n",
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"Downloading config.json...\n",
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"100% 4.37k/4.37k [00:00<00:00, 12.1MiB/s]\n",
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"Downloading model.pth...\n",
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"100% 1.87G/1.87G [00:30<00:00, 61.2MiB/s]\n",
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"Downloading dvae.pth...\n",
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"100% 211M/211M [00:04<00:00, 50.7MiB/s]\n",
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"Downloading mel_stats.pth...\n",
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"100% 1.07k/1.07k [00:00<00:00, 2.90MiB/s]\n",
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"Downloading speakers_xtts.pth...\n",
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"100% 7.75M/7.75M [00:00<00:00, 77.9MiB/s]\n",
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"Downloading vocab.json...\n",
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"100% 361k/361k [00:00<00:00, 26.4MiB/s]\n",
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"[AllTalk Shutdown] \u001b[94mReceived Ctrl+C, terminating subprocess. Kill your Python processes if this fails to exit.\u001b[92m\n",
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"[AllTalk Shutdown] \u001b[94mReceived Ctrl+C, terminating subprocess. Kill your Python processes if this fails to exit.\u001b[92m\n",
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"^C\n"
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]
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}
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],
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"source": [
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"#@markdown Links to the API and Gradio interface will be shown when AllTalk has loaded in.<br>\n",
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"#@markdown The API address is what you would use in SillyTavern.<br>\n",
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"#@markdown Do not start this if you want to run Finetuning.\n",
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"import re\n",
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"import time\n",
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"import json\n",
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"import threading\n",
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"import time\n",
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"\n",
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"def keep_alive():\n",
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" while True:\n",
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" time.sleep(60) # Run every 60 seconds (adjust as needed)\n",
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"\n",
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"keep_alive_thread = threading.Thread(target=keep_alive)\n",
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"keep_alive_thread.start()\n",
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"\n",
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"Tunnel = \"cloudflare\"\n",
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"host = \"127.0.0.1\"\n",
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"ports = [7851, 7852]\n",
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"tunnel_urls = []\n",
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"\n",
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"# Starting tunnels for each port.\n",
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"for port in ports:\n",
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" if Tunnel == \"cloudflare\":\n",
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" !nohup cloudflared tunnel --url http://{host}:{port} > lt_{port}.log 2>&1 &\n",
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" else:\n",
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" !nohup npx lt -p {port} > lt_{port}.log 2>&1 &\n",
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"\n",
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"# Wait a couple of seconds for the tunnels to initialize.\n",
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"time.sleep(10)\n",
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"\n",
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"# Extract URLs for each tunnel.\n",
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"for port in ports:\n",
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" log_file = f'lt_{port}.log'\n",
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" with open(log_file, 'r') as testwritefile:\n",
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" log_content = testwritefile.read()\n",
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"\n",
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" # Use regular expressions to find the URL.\n",
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" if Tunnel == \"cloudflare\":\n",
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" url_match = re.search(r'(https://[-a-z0-9]+\\.trycloudflare\\.com)', log_content)\n",
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" else:\n",
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" url_match = re.search(r'your url is: (https?://\\S+)', log_content)\n",
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"\n",
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" if url_match:\n",
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" tunnel_url = url_match.group(1)\n",
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" tunnel_urls.append(tunnel_url)\n",
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" else:\n",
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" print(f\"URL for port {port} not found.\")\n",
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"\n",
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"# Save the tunnel URLs to a JSON file.\n",
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"try:\n",
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" # Try to open the JSON file for reading.\n",
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" with open('/content/alltalk_tts/googlecolab.json', 'r') as f:\n",
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" data = json.load(f)\n",
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"except FileNotFoundError:\n",
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" # If the file doesn't exist, create an empty dictionary.\n",
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" data = {}\n",
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"\n",
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"data['google_ip_address'] = tunnel_urls\n",
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"\n",
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"# Write the modified data (or newly created data) back to the file.\n",
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"with open('/content/alltalk_tts/googlecolab.json', 'w') as f:\n",
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" json.dump(data, f)\n",
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"\n",
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"host = \"0.0.0.0\"\n",
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"\n",
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"if Tunnel == \"localtunnel\":\n",
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" print(\"Before you copy the link above click on it and copy that ip:\")\n",
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" !curl ipv4.icanhazip.com\n",
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"\n",
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"# Start API server.\n",
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"!python /content/alltalk_tts/script.py\n"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# Start Finetuning"
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],
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"metadata": {
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"id": "gDzNPMwM7qvs"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"#@markdown Starts the Finetuning application for XTTS models.<br><br>\n",
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"#@markdown You can either run the `Start AllTalk` to download the base XTTS model(s) for finetuning. Or you can use the folder icon on the left hand<br>\n",
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"#@markdown side of the screen and upload an XTTS model that you want to finetune. If you are manually uploading a model, you would place your model<br>\n",
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"#@markdown files in `models/xtts/{yourmodelfolderhere}` and you will need all the models files in that folder `config.json, dvae.pth, mel_stats.pth,`<br>\n",
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"#@markdown `model.pth, speakers_xtts.pth, vocab.json`. Without 1x model available, Finetuning will not start.<br><br>\n",
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"#@markdown Likewise you can download your finetuned model from there, OR copy it to your Google Drive after finetuning, for later use in AllTalk.<br><br>\n",
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"#@markdown To access the Finetuning Gradio interface, connect to the `Google Colab Finetuning url` when Finetuning has started.<br>\n",
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"import re\n",
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"import time\n",
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"import json\n",
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"import threading\n",
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"import time\n",
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"\n",
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"def keep_alive():\n",
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" while True:\n",
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" time.sleep(60) # Run every 60 seconds (adjust as needed)\n",
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"\n",
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"keep_alive_thread = threading.Thread(target=keep_alive)\n",
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"keep_alive_thread.start()\n",
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"\n",
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"Tunnel = \"cloudflare\"\n",
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"host = \"127.0.0.1\"\n",
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"ports = [7052]\n",
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"tunnel_urls = []\n",
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"\n",
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"# Starting tunnels for each port.\n",
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"for port in ports:\n",
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" if Tunnel == \"cloudflare\":\n",
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" !nohup cloudflared tunnel --url http://{host}:{port} > lt_{port}.log 2>&1 &\n",
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" else:\n",
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" !nohup npx lt -p {port} > lt_{port}.log 2>&1 &\n",
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"\n",
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"# Wait a couple of seconds for the tunnels to initialize.\n",
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"time.sleep(10)\n",
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"\n",
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"# Extract URLs for each tunnel.\n",
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"for port in ports:\n",
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" log_file = f'lt_{port}.log'\n",
|
|
" with open(log_file, 'r') as testwritefile:\n",
|
|
" log_content = testwritefile.read()\n",
|
|
"\n",
|
|
" # Use regular expressions to find the URL.\n",
|
|
" if Tunnel == \"cloudflare\":\n",
|
|
" url_match = re.search(r'(https://[-a-z0-9]+\\.trycloudflare\\.com)', log_content)\n",
|
|
" else:\n",
|
|
" url_match = re.search(r'your url is: (https?://\\S+)', log_content)\n",
|
|
"\n",
|
|
" if url_match:\n",
|
|
" tunnel_url = url_match.group(1)\n",
|
|
" tunnel_urls.append(tunnel_url)\n",
|
|
" print(f\"Google Colab Finetuning url: {tunnel_url}\\n\")\n",
|
|
" print(f\"********************************************************************\")\n",
|
|
" print(f\"**** Use the above URL to connect to Finetuning on Google Colab ****\")\n",
|
|
" print(f\"********************************************************************\")\n",
|
|
" print(f\"************* Now starting the Finetuning Application **************\")\n",
|
|
" print(f\"********************************************************************\\n\")\n",
|
|
" else:\n",
|
|
" print(f\"URL for port {port} not found.\")\n",
|
|
"\n",
|
|
"# Save the tunnel URLs to a JSON file.\n",
|
|
"try:\n",
|
|
" # Try to open the JSON file for reading.\n",
|
|
" with open('/content/alltalk_tts/googlecolab.json', 'r') as f:\n",
|
|
" data = json.load(f)\n",
|
|
"except FileNotFoundError:\n",
|
|
" # If the file doesn't exist, create an empty dictionary.\n",
|
|
" data = {}\n",
|
|
"\n",
|
|
"data['google_ip_address'] = tunnel_urls\n",
|
|
"\n",
|
|
"# Write the modified data (or newly created data) back to the file.\n",
|
|
"with open('/content/alltalk_tts/googlecolab.json', 'w') as f:\n",
|
|
" json.dump(data, f)\n",
|
|
"\n",
|
|
"host = \"0.0.0.0\"\n",
|
|
"\n",
|
|
"if Tunnel == \"localtunnel\":\n",
|
|
" print(\"Before you copy the link above click on it and copy that ip:\")\n",
|
|
" !curl ipv4.icanhazip.com\n",
|
|
"\n",
|
|
"# Start API server.\n",
|
|
"!python /content/alltalk_tts/finetune.py\n"
|
|
],
|
|
"metadata": {
|
|
"colab": {
|
|
"base_uri": "https://localhost:8080/"
|
|
},
|
|
"cellView": "form",
|
|
"id": "Dewvq5s38Sfd",
|
|
"outputId": "30689b4e-2af2-4595-f2be-8bf42753f355"
|
|
},
|
|
"execution_count": 7,
|
|
"outputs": [
|
|
{
|
|
"output_type": "stream",
|
|
"name": "stdout",
|
|
"text": [
|
|
"Google Colab Finetuning url: https://assistance-amazing-periods-payday.trycloudflare.com\n",
|
|
"\n",
|
|
"********************************************************************\n",
|
|
"**** Use the above URL to connect to Finetuning on Google Colab ****\n",
|
|
"********************************************************************\n",
|
|
"\n",
|
|
"[FINETUNE] HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 \"\n",
|
|
"[FINETUNE] HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
|
|
"Running on local URL: http://127.0.0.1:7052\n",
|
|
"[FINETUNE] HTTP Request: GET http://127.0.0.1:7052/startup-events \"HTTP/1.1 200 OK\"\n",
|
|
"[FINETUNE] HTTP Request: HEAD http://127.0.0.1:7052/ \"HTTP/1.1 200 OK\"\n",
|
|
"\n",
|
|
"To create a public link, set `share=True` in `launch()`.\n",
|
|
"[FINETUNE] Received interrupt signal. Cleaning up and exiting...\n",
|
|
"\u001b[0m"
|
|
]
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"accelerator": "GPU",
|
|
"colab": {
|
|
"gpuType": "T4",
|
|
"provenance": []
|
|
},
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"name": "python"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
} |