README.md

metadata

title: audio.cpp ZeroGPU
emoji: 🔊
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 6.29.1
python_version: '3.10'
app_file: app.py
pinned: false
license: apache-2.0
short_description: 100+ TTS, ASR, cloning and music models via audio.cpp
tags:
  - audio
  - text-to-speech
  - speech-recognition
  - voice-cloning
  - ggml
  - gguf
  - zerogpu

audio.cpp on ZeroGPU

A Gradio interface for audio.cpp, the native C++/ggml inference engine for 100+ audio models: text to speech, voice cloning and voice design, speech recognition, forced alignment, diarization, VAD, stem separation, voice conversion, restoration, and music or sound generation.

How it runs. On start-up the Space downloads the official audio.cpp CUDA 12.8 Linux prebuilt (the build used by the project's Colab notebook) and NVIDIA's CUDA 12 runtime wheels. Each request starts audiocpp_server with a one-model config inside a ZeroGPU call, posts to /v1/tasks/run, and stops it. Without a GPU the same binary runs on CPU through a tiny libcuda stub (stub/cuda_stub.c).

Inputs. Type or paste text, load it from txt / md / srt / vtt / pdf / docx / epub / html / json files or a URL, upload or record audio, drop any audio or video file (ffmpeg converts it), or pass audio URLs. Batch mode turns each paragraph or line into its own clip, and audio tasks accept many files at once.

Python tab. Run Python with the audiocpp_runtime helpers, on ZeroGPU or CPU. Set the Space variable ALLOW_PYTHON=0 to disable it.

Environment variables: AUDIOCPP_VERSION (release tag, default v0.9.0), MAX_GPU_SECONDS, MAX_BATCH, AUDIOCPP_MODELS_DIR, ALLOW_PYTHON.

Credits: audio.cpp by 0xShug0 and contributors (Apache-2.0). model_params.json comes from the project's WebUI config. Model weights keep their original licenses.