---
title: NeuDecide
emoji: 🎙️
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version: 6.29.1
app_file: app.py
short_description: Speech in, tool calls out — no transcript in between
python_version: "3.12"
---

A demo of [NeuDecide](https://huggingface.co/neuphonic/neudecide), a tiny (~55M parameter, 43 MB)
voice-action model from [Neuphonic](https://www.neuphonic.com). Record a spoken command, give it a
list of tools as JSON, and it emits the matching tool call — no transcript in between and no GPU
required.

```
"clean the bathroom" + [cleanRoom, goToBase, getBattery] → [{"name": "cleanRoom", "arguments": {"room": "bathroom"}}]
```

- **Inputs**: a short voice recording (≤ 30 s, English) and a JSON list of tool definitions
  (`name`, `description`, JSON-Schema `parameters`).
- **Output**: the tool calls the utterance maps to — a JSON list of `{"name", "arguments"}`
  dicts, or `[]` when no tool applies.
- **How**: three q4 ONNX graphs (audio encoder, tool encoder, decoder) run on CPU via
  ONNX Runtime with grammar-constrained decoding, using the
  [`neudecide`](https://pypi.org/project/neudecide/) package.

Tools are passed in at inference time, so you change what the model can do by editing the JSON —
try the preset tool sets (robot vacuum, car control, smart home) or paste your own. Weights are
bundled in `model/`; sample WAVs and preset tools are from the
[authors' repository](https://github.com/neuphonic/neudecide) (Apache-2.0).