Medix-AI/coqui-tts
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coqui-tts
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coqui-tts/TTS/server
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Florian Quirin 478c8178b8
Basic Mary-TTS API compatibility (#2352) 
* added basic Mary-TTS API endpoints to server

- imported `parse_qs` from `urllib.parse` to parse HTTP POST parameters
- imported `render_template_string` from `flask` to return text as endpoint result
- added new routes:
  - `/locales` - returns list of locales (currently locale of active model)
  - `/voices` - returns list of voices (currently locale and name of active model)
  - `/process` - accepts synth. request (GET and POST) with parameter `INPUT_TEXT` (other parameters ignored since we have only one active model)

* better log messages for Mary-TTS API

- smaller tweaks to log output

* use f-string in log print to please linter

* updated server.py to match 'make style' result
 		2023-03-06 10:08:21 +01:00
..
static Merge branch 'dev' of https://github.com/coqui-ai/TTS into dev 2021-03-08 15:21:06 +01:00
templates Fix tts-server for multi-lingual models (#2257) 2023-02-06 10:54:34 +01:00
README.md 🐍 Python 3.10.x support and drop Python 3.6 support (#1565) 2022-05-12 15:50:25 +02:00
__init__.py rename the project to old TTS 2020-09-09 12:27:23 +02:00
conf.json Update model file extension (#1422) 2022-03-22 17:55:00 +01:00
server.py Basic Mary-TTS API compatibility (#2352) 2023-03-06 10:08:21 +01:00

README.md

🐸 TTS demo server

Before you use the server, make sure you install) 🐸 TTS properly. Then, you can follow the steps below.

Note: If you install 🐸TTS using pip, you can also use the tts-server end point on the terminal.

Examples runs:

List officially released models. python TTS/server/server.py --list_models

Run the server with the official models. python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan

Run the server with the official models on a GPU. CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan --use_cuda True

Run the server with a custom models. python TTS/server/server.py --tts_checkpoint /path/to/tts/model.pth --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth --vocoder_config /path/to/vocoder/config.json