---
library_name: TTS
task: text-to-speech
tags:
- Persian
- TTS
- Farsi
- Coqui
- CoquiTTS
- pytorch
- audio
- text-to-speech
language: fa
datasets:
- persian-tts-dataset
widget:
- text: .زندگی فقط یک بار است؛ از آن به خوبی استفاده کن
  example_title: Hello, this is a test run.
license: openrail
pipeline_tag: text-to-speech
---

# **persian-tts-female-vits**

- persian-tts-female vits model for text to speech purposes.
- Persian  فارسی
- Single-speaker female voice
- Trained on <span style="color: #0072ff;font-weight: bold;">[persian-tts-dataset-male](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)</span>  dataset
- [GitHub Repo](https://github.com/coqui-ai/TTS)
- <span style="color: #0072ff;font-weight: bold;">[Demo](https://huggingface.co/spaces/Kamtera/Persian-tts-CoquiTTS)</span>


# **Uses**

Install dependencies:
```python
!pip install TTS
!sudo apt-get -y install espeak-ng
```

Generate audio from text:

##### using cli:
```python
!tts --text "زندگی فقط یک بار است؛ از آن به خوبی استفاده کن" \
     --model_path ".pth" \
     --config_path "config.json" \
     --out_path "speech1.wav"
```
##### python api:

```python

from TTS.config import load_config
from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer

config="config.json" 
model="best_model_30824.pth"

model_path =model # Absolute path to the model checkpoint.pth
config_path =config # Absolute path to the model config.json

text=".زندگی فقط یک بار است؛ از آن به خوبی استفاده کن"

synthesizer = Synthesizer(
    model_path, config_path
)
wavs = synthesizer.tts(text)
synthesizer.save_wav(wavs, 'sp.wav')
```
Display audio:


```python
import IPython
IPython.display.Audio('sp.wav')
```


- **Hours used:** 10
- **Cloud Provider:** kaggle



# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>