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Code Issues Packages Projects Releases Wiki Activity

🐸 Coqui Studio API integration (#2484)

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* Warn when lang is not avail

* Make style

* Implement Coqui Studio API

* Test

* Update docs

* Set action

* Make style

* Make lint

* Update README

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* Fix action

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This commit is contained in:
Eren Gölge
2023-04-05 15:06:50 +02:00
committed by GitHub
parent ce79160576
commit ad8b9bf2be
6 changed files with 482 additions and 31 deletions
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docs/source/inference.md
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@@ -109,7 +109,7 @@ tts-server --model_name "<type>/<language>/<dataset>/<model_name>" \
--vocoder_name "<type>/<language>/<dataset>/<model_name>"
```
## Python API
## Python 🐸TTS API
You can run a multi-speaker and multi-lingual model in Python as
@@ -163,4 +163,34 @@ tts.tts_with_vc_to_file(
speaker_wav="target/speaker.wav",
file_path="ouptut.wav"
)
Example text to speech using [🐸Coqui Studio](https://coqui.ai) models. You can use all of your available speakers in the studio.
[🐸Coqui Studio](https://coqui.ai) API token is required. You can get it from the [account page](https://coqui.ai/account).
You should set the `COQUI_STUDIO_TOKEN` environment variable to use the API token.
```python
# If you have a valid API token set you will see the studio speakers as separate models in the list.
# The name format is coqui_studio/en/<studio_speaker_name>/coqui_studio
models = TTS().list_models()
# Init TTS with the target studio speaker
tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar=False, gpu=False)
# Run TTS
tts.tts_to_file(text="This is a test.", file_path=OUTPUT_PATH)
# Run TTS with emotion and speed control
tts.tts_to_file(text="This is a test.", file_path=OUTPUT_PATH, emotion="Happy", speed=1.5)
```
If you just need 🐸 Coqui Studio speakers, you can use `CS_API`. It is a wrapper around the 🐸 Coqui Studio API.
```python
from TTS.api import CS_API
# Init 🐸 Coqui Studio API
# you can either set the API token as an environment variable `COQUI_STUDIO_TOKEN` or pass it as an argument.
api = CS_API(api_token=<token>)
api.speakers
api.emotions
api.list_speakers()
api.list_voices()
wav, sample_rate = api.tts(text="This is a test.", speaker=api.speakers[0].name, emotion="Happy", speed=1.5)
```