Metadata-Version: 2.1
Name: f5-tts
Version: 0.1.0
Summary: INF5: A Speech Processing Model
Home-page: https://github.com/svp19/inf5
Author: svp19
Author-email: svp19
License: UNKNOWN
Platform: UNKNOWN
Requires-Python: >=3.7
Description-Content-Type: text/markdown

# **IndicF5: High-Quality Text-to-Speech for Indian Languages**

[![Hugging Face](https://img.shields.io/badge/HuggingFace-Model-orange)](https://huggingface.co/ai4bharat/IndicF5)


We release **IndicF5**, a **near-human polyglot** **Text-to-Speech (TTS)** model trained on **1417 hours** of high-quality speech from **[Rasa](https://huggingface.co/datasets/ai4bharat/Rasa), [IndicTTS](https://www.iitm.ac.in/donlab/indictts/database), [LIMMITS](https://sites.google.com/view/limmits24/), and [IndicVoices-R](https://huggingface.co/datasets/ai4bharat/indicvoices_r)**.  

IndicF5 supports **11 Indian languages**:  
**Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu.**  

---

## 🚀 Installation
```bash
conda create -n indicf5 python=3.10 -y
conda activate indicf5
pip install git+https://github.com/ai4bharat/IndicF5.git
```


## 🎙 Usage

To generate speech, you need to provide **three inputs**:
1. **Text to synthesize** – The content you want the model to speak.
2. **A reference prompt audio** – An example speech clip that guides the model’s prosody and speaker characteristics.
3. **Text spoken in the reference prompt audio** – The transcript of the reference prompt audio.


```python
from transformers import AutoModel
import numpy as np
import soundfile as sf

# Load INF5 from Hugging Face
repo_id = "ai4bharat/IndicF5"
model = AutoModel.from_pretrained(repo_id, trust_remote_code=True)

# Generate speech
audio = model(
    "नमस्ते! संगीत की तरह जीवन भी खूबसूरत होता है, बस इसे सही ताल में जीना आना चाहिए.",
    ref_audio_path="prompts/PAN_F_HAPPY_00001.wav",
    ref_text="ਭਹੰਪੀ ਵਿੱਚ ਸਮਾਰਕਾਂ ਦੇ ਭਵਨ ਨਿਰਮਾਣ ਕਲਾ ਦੇ ਵੇਰਵੇ ਗੁੰਝਲਦਾਰ ਅਤੇ ਹੈਰਾਨ ਕਰਨ ਵਾਲੇ ਹਨ, ਜੋ ਮੈਨੂੰ ਖੁਸ਼ ਕਰਦੇ  ਹਨ।"
)

# Normalize and save output
if audio.dtype == np.int16:
    audio = audio.astype(np.float32) / 32768.0
sf.write("samples/namaste.wav", np.array(audio, dtype=np.float32), samplerate=24000)
```

## References

We would like to extend our gratitude to the authors of  **[F5-TTS](https://github.com/SWivid/F5-TTS)** for their invaluable contributions and inspiration to this work. Their efforts have played a crucial role in advancing  the field of text-to-speech synthesis.


## 📖 Citation
If you use **IndicF5** in your research or projects, please consider citing it:

### 🔹 BibTeX
```bibtex
@misc{AI4Bharat_IndicF5_2025,
  author       = {Praveen S V and Srija Anand and Soma Siddhartha and Mitesh M. Khapra},
  title        = {IndicF5: High-Quality Text-to-Speech for Indian Languages},
  year         = {2025},
  url          = {https://github.com/AI4Bharat/IndicF5},
}