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--- |
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library_name: transformers |
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tags: |
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- text-to-speech |
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- annotation |
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license: apache-2.0 |
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language: |
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- en |
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- as |
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- bn |
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- gu |
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- hi |
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- kn |
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- ks |
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- or |
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- ml |
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- mr |
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- ne |
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- pa |
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- sa |
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- sd |
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- ta |
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- te |
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- ur |
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- om |
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pipeline_tag: text-to-speech |
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inference: false |
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base_model: |
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- ai4bharat/indic-parler-tts |
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--- |
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# HelpingAI-TTS-v1 🎤🔥 |
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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. 💯 |
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## 🚀 What’s HelpingAI-TTS-v1? |
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**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. 🎧 |
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## 🛠️ How It Works: A Quick Rundown 🔥 |
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1. **Transcript**: The text you want to speak. Keep it casual, formal, or whatever suits your vibe. |
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2. **Caption**: Describes how you want the speech to sound. Want a fast-paced, hype vibe or a calm, soothing tone? Just say it. 🔥 |
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## 💡 Features You’ll Love: |
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- **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. |
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- **Top-Notch Quality**: Super clean audio. No static. Just pure, high-quality sound that makes your words pop. |
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- **Customizable Like Never Before**: Play with emotions, tone, and even accents. It’s all about making it personal. 🌍 |
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## 🔧 Get Started: Installation 🔥 |
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Ready to vibe? Here’s how you set up **HelpingAI-TTS-v1** in seconds: |
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```bash |
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pip install git+https://github.com/huggingface/parler-tts.git |
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``` |
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## 🖥️ Usage: Let's Make Some Magic 🎤 |
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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. |
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```python |
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import torch |
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from parler_tts import ParlerTTSForConditionalGeneration |
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from transformers import AutoTokenizer |
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import soundfile as sf |
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# Choose your device (GPU or CPU) |
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device = "cuda:0" if torch.cuda.is_available() else "cpu" |
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# Load the model and tokenizers |
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model = ParlerTTSForConditionalGeneration.from_pretrained("HelpingAI/HelpingAI-TTS-v1").to(device) |
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tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HelpingAI-TTS-v1") |
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description_tokenizer = AutoTokenizer.from_pretrained(model.config.text_encoder._name_or_path) |
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# Customize your inputs: text + description |
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prompt = "Hey, what's up? How’s it going?" |
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description = "A friendly, upbeat, and casual tone with a moderate speed. Speaker sounds confident and relaxed." |
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# Tokenize the inputs |
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input_ids = description_tokenizer(description, return_tensors="pt").input_ids.to(device) |
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prompt_input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device) |
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# Generate the audio |
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generation = model.generate(input_ids=input_ids, prompt_input_ids=prompt_input_ids) |
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audio_arr = generation.cpu().numpy().squeeze() |
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# Save the audio to a file |
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sf.write("output.wav", audio_arr, model.config.sampling_rate) |
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``` |
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This will create a **super clean** `.wav` file with the speech you asked for. 🔥 |
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## 🌍 Language Support: Speak Your Language |
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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. 🌏 |
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- Assamese |
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- Bengali |
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- Bodo |
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- Dogri |
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- Kannada |
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- Malayalam |
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- Marathi |
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- Sanskrit |
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- Nepali |
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- English |
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- Telugu |
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- Hindi |
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- Gujarati |
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- Konkani |
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- Maithili |
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- Manipuri |
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- Odia |
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- Santali |
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- Sindhi |
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- Tamil |
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- Urdu |
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- Chhattisgarhi |
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- Kashmiri |
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- Punjabi |
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*Powered by HelpingAI, where we blend emotional intelligence with tech.* 🌟 |
