| --- |
| 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.* 🌟 |
