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plug whisper audio transcription to a local ollama server and ouput tts audio responses
| Date | Stars |
|---|---|
| 2026-07-31 | 378 |
| 2026-08-05 | 378 |
| 2026-08-06 | 378 |
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# ollama-voice Plug whisper audio transcription to a local ollama server and ouput tts audio responses This is just a simple combination of three tools in offline mode: - Speech recognition: [whisper](https://github.com/openai/whisper) running local models in offline mode - Large Language Mode: [ollama](https://github.com/jmorganca/ollama) running local models in offline mode - Offline Text To Speech: [pyttsx3](https://pypi.org/project/pyttsx3/) ## Prerequisites whisper dependencies are setup to run on GPU so Install Cuda before running `pip install`. ## Running Install [ollama](https://ollama.ai/) and ensure server is started locally first (in WLS under windows) (e.g. `curl https://ollama.ai/install.sh | sh`) Download a [whisper](https://github.com/openai/whisper) [model](https://github.com/openai/whisper#available-models-and-languages) and place it in the `whisper` subfolder (e.g. https://openaipublic.azureedge.net/main/whisper/models/e5b1a55b89c1367dacf97e3e19bfd829a01529dbfdeefa8caeb59b3f1b81dadb/large-v3.pt) Configure `assistant.yaml` settings. (It is setup to work in french with ollama [mistral](https://ollama.ai/library/mistral) model by default...) Run `assistant.py` Leave `space` key pressed to talk, the AI will interpret the query when you release the key. ## Todo - Rearrange code base - Multi threading to overlap tts and speed recognition (ollama is already running remotely in parallel)
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:329def69b6467a8b, llm:description: 'plug whisper audio transcription to a local ollama server and ouput tts audio responses'
matched fp:329def69b6467a8b, llm:description: 'plug whisper audio transcription to a local ollama server and ouput tts audio responses'
matched fp:329def69b6467a8b, llm:description: 'plug whisper audio transcription to a local ollama server and ouput tts audio responses'