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Update README (#2204)

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Eren Gölge 2022-12-12 12:20:50 +01:00 committed by GitHub
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@ -25,7 +25,9 @@
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[![Docs](<https://readthedocs.org/projects/tts/badge/?version=latest&style=plastic>)](https://tts.readthedocs.io/en/latest/)
📰 [**Subscribe to 🐸Coqui.ai Newsletter**](https://coqui.ai/?subscription=true)
@ -161,9 +163,36 @@ You can then enjoy the TTS server [here](http://[::1]:5002/)
More details about the docker images (like GPU support) can be found [here](https://tts.readthedocs.io/en/latest/docker_images.html)
## Use TTS
## Synthesizing speech by 🐸TTS
### Single Speaker Models
### 🐍 Python API
```python
from TTS.api import TTS
# Running a multi-speaker and multi-lingual model
# List available 🐸TTS models and choose the first one
model_name = TTS.list_models()[0]
# Init TTS
tts = TTS(model_name)
# Run TTS
# ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language
# Text to speech with a numpy output
wav = tts.tts("This is a test! This is also a test!!", speaker=tts.speakers[0], language=tts.languages[0])
# Text to speech to a file
tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path="output.wav")
# Running a single speaker model
# Init TTS with the target model name
tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
# Run TTS
tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH)
```
### Command line `tts`
#### Single Speaker Models
- List provided models:
@ -237,7 +266,7 @@ More details about the docker images (like GPU support) can be found [here](http
--vocoder_path path/to/vocoder.pth --vocoder_config_path path/to/vocoder_config.json
```
### Multi-speaker Models
#### Multi-speaker Models
- List the available speakers and choose as <speaker_id> among them: