---
library_name: transformers
tags:
- text-to-speech
- annotation
license: apache-2.0
language:
- en
- as
- bn
- gu
- hi
- kn
- ks
- or
- ml
- mr
- ne
- pa
- sa
- sd
- ta
- te
- ur
- om
pipeline_tag: text-to-speech
inference: false
base_model:
- ai4bharat/indic-parler-tts
---
# HelpingAI-TTS-v1 🎤🔥

Yo, what's good! Welcome to **HelpingAI-TTS-v1**, your go-to for next-level Text-to-Speech (TTS) that's all about personalization, vibes, and clarity. Whether you want your text to sound cheerful, emotional, or just like you're chatting with a friend, this model's got you covered. 💯


## 🚀 What’s HelpingAI-TTS-v1?  

**HelpingAI-TTS-v1** is a beast when it comes to generating **high-quality, customizable speech**. It doesn’t just spit out generic text; it **feels** what you're saying and brings it to life with style. Add a description to your speech, like how fast or slow it should be, if it’s cheerful or serious, and BOOM — you got yourself the perfect audio output. 🎧


## 🛠️ How It Works: A Quick Rundown 🔥

1. **Transcript**: The text you want to speak. Keep it casual, formal, or whatever suits your vibe.  
2. **Caption**: Describes how you want the speech to sound. Want a fast-paced, hype vibe or a calm, soothing tone? Just say it. 🔥


## 💡 Features You’ll Love:

- **Expressive Speech**: This isn’t just any TTS. You can describe the tone, speed, and vibe you want. Whether it's a *peppy* "Hey!" or a *chill* "What's up?", this model’s got your back.  
- **Top-Notch Quality**: Super clean audio. No static. Just pure, high-quality sound that makes your words pop.  
- **Customizable Like Never Before**: Play with emotions, tone, and even accents. It’s all about making it personal. 🌍

## 🔧 Get Started: Installation 🔥

Ready to vibe? Here’s how you set up **HelpingAI-TTS-v1** in seconds:

```bash
pip install git+https://github.com/huggingface/parler-tts.git
```


## 🖥️ Usage: Let's Make Some Magic 🎤

Here’s the code that gets the job done. Super simple to use, just plug in your text and describe how you want it to sound. It’s like setting the mood for a movie.

```python
import torch
from parler_tts import ParlerTTSForConditionalGeneration
from transformers import AutoTokenizer
import soundfile as sf

# Choose your device (GPU or CPU)
device = "cuda:0" if torch.cuda.is_available() else "cpu"

# Load the model and tokenizers
model = ParlerTTSForConditionalGeneration.from_pretrained("HelpingAI/HelpingAI-TTS-v1").to(device)
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HelpingAI-TTS-v1")
description_tokenizer = AutoTokenizer.from_pretrained(model.config.text_encoder._name_or_path)

# Customize your inputs: text + description
prompt = "Hey, what's up? How’s it going?"
description = "A friendly, upbeat, and casual tone with a moderate speed. Speaker sounds confident and relaxed."

# Tokenize the inputs
input_ids = description_tokenizer(description, return_tensors="pt").input_ids.to(device)
prompt_input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)

# Generate the audio
generation = model.generate(input_ids=input_ids, prompt_input_ids=prompt_input_ids)
audio_arr = generation.cpu().numpy().squeeze()

# Save the audio to a file
sf.write("output.wav", audio_arr, model.config.sampling_rate)
```

This will create a **super clean** `.wav` file with the speech you asked for. 🔥


## 🌍 Language Support: Speak Your Language  

No matter where you're from, **HelpingAI-TTS-v1** has you covered. **Officially** supporting 20+ languages and **unofficial** support for a few more. That’s global vibes right there. 🌏

- Assamese  
- Bengali  
- Bodo  
- Dogri  
- Kannada  
- Malayalam  
- Marathi  
- Sanskrit  
- Nepali  
- English  
- Telugu  
- Hindi  
- Gujarati  
- Konkani  
- Maithili  
- Manipuri  
- Odia  
- Santali  
- Sindhi  
- Tamil  
- Urdu  
- Chhattisgarhi  
- Kashmiri  
- Punjabi  


*Powered by HelpingAI, where we blend emotional intelligence with tech.* 🌟