Create README.md

README.md

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+---
+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.* 🌟