77 lines
1.9 KiB
Markdown
77 lines
1.9 KiB
Markdown
# Simple TTS
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A simple text-to-speech program powered by [kokoro](https://huggingface.co/hexgrad/Kokoro-82M).
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## Setup
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Clone repo and go into the directory
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```bash
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$ git clone https://git.ayo.run/ayo/simple-tts
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$ cd simple-tts
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```
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Create new environment. Here I use `conda`.
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```bash
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$ conda create -n tts
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### for Intel XPU specific device usage:
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$ conda create -n tts --clone llm-pt26
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```
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> [!Important]
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> For using Intel XPUs, you need to set up [ipex-llm environment with pytorch 2.6](https://git.ayo.run/ayo/ipex-llm/src/branch/main/docs/mddocs/Quickstart/install_pytorch26_gpu.md). Also, see "Intel XPU environmental variables" section below.
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Activate the environment and install the dependencies
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```bash
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$ conda activate tts
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$ python -m pip install -r requirements.txt
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```
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Because `vlc` is used to automatically play the generated audio, you will have to install it:
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```bash
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$ sudo apt update
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$ sudo apt install vlc
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```
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> [!Note]
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> Installing `vlc` via flatpak or snap will not work, as the code need access to `libvlc`.
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## Intel XPU environmental variables
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For XPUs, we need to set some environmental variables. I have added a `env.sh` script which will activate the conda environment `tts` and set the environmental variables.
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```bash
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$ . env.sh
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```
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## Usage
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To run the program it needs an input file using the flag `--input`.
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```bash
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$ python tts.py --input demo/tongue-twister.txt --voice asmr
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```
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### Voices
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Optionally, you can indicate a voice you want to use with the `--voice` flag. See [all voices available](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md).
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```bash
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$ python tts.py --voice am_michael
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```
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There are four shortcuts available to the best voices: `pro`, `hot`, `asmr`, `brit` (i.e., best trained voices), and `pro` is the default if no value is given
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```bash
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$ python tts.py --voice pro # af_heart
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$ python tts.py --voice hot # af_bella
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$ python tts.py --voice asmr # af_nicole
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$ python tts.py --voice brit # bf_emma
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```
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