---
title: Tool Generate Text2Speech
emoji: 🗣️
colorFrom: blue
colorTo: purple
sdk: gradio
app_file: app.py
pinned: false
license: apache-2.0
---

# TTS Dataset Generator (VoxCPM2)

Batch text-to-speech tool for preparing paired text/audio datasets to train
ASR and TTS models — built on [`openbmb/VoxCPM2`](https://huggingface.co/openbmb/VoxCPM2).

## What it does

1. Upload a JSON file shaped like:
   ```json
   [
     {"id": 1, "text": "សួស្តី! តើថ្ងៃនេះអ្នកសុខសប្បាយជាទេ?"},
     {"id": 2, "text": "..."}
   ]
   ```
   (up to 100 items per batch)
2. Optionally describe a voice (e.g. `a calm young woman, clear and steady voice`) —
   VoxCPM2's Voice Design applies it consistently across every item.
3. Click **Generate batch**. Progress and per-item status show live in the table.
4. Download the resulting `.zip`:
   ```
   tts_dataset.zip
   ├── audio/
   │   ├── 1.wav
   │   ├── 2.wav
   │   └── ...
   ├── metadata.csv     # id, text, filename, status
   └── metadata.json
   ```

## Deploying this Space

This runs as a standard **Gradio SDK Space** (not Static / gradio-lite) because
VoxCPM2 is a 2B-parameter PyTorch model — it needs real Python + (ideally) GPU
execution, which a browser-only static Space cannot provide.

Push these three files (`app.py`, `requirements.txt`, `README.md`) to the Space repo:

```bash
git clone https://huggingface.co/spaces/phonsobon/Tool_Generate_Text2Speech
cd Tool_Generate_Text2Speech
cp /path/to/app.py /path/to/requirements.txt /path/to/README.md .
git add .
git commit -m "Batch TTS dataset generator (VoxCPM2)"
git push
```

## Hardware notes

- Running on **free CPU basic**: generation is slow (roughly tens of seconds per
  sentence for a 2B-param model). Test with the "Limit" field set low (e.g. 5)
  before running a full batch of 100.
- If you later upgrade to **HF PRO** you can switch this Space to **ZeroGPU**
  hardware in the Space settings for a large speed-up — no code changes needed,
  just add a `@spaces.GPU` decorator around the generation call.
- Khmer is one of VoxCPM2's 30 officially supported languages.