README.md

metadata

title: Nemotron-Labs-Audex
emoji: 🎧
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
short_description: Unified audio-text intelligence
python_version: '3.10'
startup_duration_timeout: 1h

Nemotron-Labs-Audex

A Gradio demo for nvidia/Nemotron-Labs-Audex-30B-A3B and nvidia/Nemotron-Labs-Audex-2B. The model selector defaults to the 30B-A3B and can switch to 2B model.

The demo includes audio understanding, speech recognition, speech translation, text reasoning, text-to-speech, and speech-to-speech.

• Audio inputs support up to 15 minutes.
• Text generation defaults to 1,024 tokens and supports up to 4,096. Max new tokens sets a total cap shared by reasoning and the final answer. Reasoning has no separate token cap by default for most tasks.
• TTS defaults to 256 speech tokens and supports up to 512.
• Speech-to-speech uses a 3,584-token reasoning budget within a 4,096-token total output limit.

The hosted ZeroGPU runtime uses a prebuilt mamba-ssm==2.3.2.post1 Blackwell wheel.

Run locally

git clone https://huggingface.co/spaces/nvidia/Nemotron-Labs-Audex
cd Nemotron-Labs-Audex
bash setup_local.sh
bash run_local.sh

setup_local.sh creates an isolated .venv and installs PyTorch when needed. Use AUDEX_TORCH_PACKAGE or standard pip index environment variables to select a platform-specific PyTorch build.

run_local.sh detects the selected GPU architecture and creates a matching local CUDA-extension cache.