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Use MOSS-compatible Python 3.10 for WeText
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metadata 
title: M5-TTS
emoji: 🔊
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.15.1
app_file: app.py
python_version: '3.10'
startup_duration_timeout: 30m
suggested_hardware: zero-a10g
short_description: Reference-conditioned multilingual M5 speech synthesis

M5-TTS

Reference-conditioned multilingual text-to-speech synthesis with a 16-codebook, 12.5 Hz Qwen speech codec. Target and reference transcripts use the verified m5_tn/m5_infer.py frontend with WeTextProcessing enabled by default. The codec is loaded from the pinned official Qwen/Qwen3-TTS-12Hz-1.7B-Base revision at startup.

Usage

  1. Upload or record a clean reference audio clip.
  2. Enter the exact transcript of the reference.
  3. Enter up to 250 characters of target text.
  4. Select language and optional Cantonese (yue) or Sichuan (chuan) accent.
  5. Generate and download the resulting audio.

The app requires GPU hardware. It is packaged for Hugging Face ZeroGPU and uses one GPU allocation for the complete request.