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# Privacy-First Command-Line AI for Linux
Unlock the power of AI—right from your Linux terminal.
This project delivers a fully local AI environment, running open source language models directly on your machine.
No cloud. No GAFAM. Just full privacy, control, and the freedom to manipiulate commands in your shell.
## How it works
* [Ollama](https://ollama.com/) run language models on the local machine.
* [openedai-speech](https://github.com/matatonic/openedai-speech) provide text to speech capability.
* [speaches-ai](https://github.com/speaches-ai/speaches) provide transcription, translation, and speech generation.
* [nginx](https://nginx.org/en/) add an authentication to the API.
* [aichat](https://github.com/sigoden/aichat) is used as LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents.
Everything is free, open-source and automated using Docker Compose and shell scripts.
## Requirements
To run this project efficiently, a modern computer with a recent NVIDIA GPU is required.
As an example, I achieve good performance with an Intel(R) Core(TM) i7-14700HX, a GeForce RTX 4050, and 32GB of RAM.
You must use Linux and the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-container-toolkit).
Note that it is probably possible to run the project on other GPUs or modern MacBooks, but this is not the purpose of this project.
## How to launch the server
Choose the models you wish to use in the docker-compose.yaml file and change the API token in the .env file as follows:
```
LLM_API_KEY=1234567890
```
Next, start the servers and their configuration with Docker Compose:
```bash
docker compose up --build -d
```
## How to use
The `setup_desktop.sh` script allows for copying a compiled static version of [aichat](https://github.com/sigoden/aichat) from a container to your host and configuring the tool.
### Aichat essentials
To launch a chatbot while maintaining context:
```bash
aichat -m ollama:qwen2.5 -s
```
With a prompt:
```bash
aichat -m ollama:qwen2.5 --prompt "I want you to act as an English translator, spelling corrector and improver. I will speak to you in any language and you will detect the language, translate it and answer in the corrected and improved version of my text, in English. I want you to only reply the correction, the improvements and nothing else, do not write explanations."
```
Pipe a command and transform the result with the LLM:
```
ls | aichat -m ollama:qwen2.5 --prompt "transform to json"
```
Go to the [AIChat](https://github.com/sigoden/aichat) website for other possible use cases.
### Text To Speech
To use text-to-speech, use the script in the `tools/tts.sh` file.
Example:
```
./tools/tts.sh -l french -v pierre --play "Aujourd'hui, nous sommes le $(date +%A\ %d\ %B\ %Y)."
```
### Speech To Text
For the Speech to Text functionality use `tools/stt.sh`.
The function record allows you to use PulseAudio to record the computer's audio (for example, a video in the browser).
The transcription function converts the audio file into text.
Example:
```bash
./tools/stt.sh record -s alsa_output.pci-0000_00_1f.3-platform-skl_hda_dsp_generic.HiFi__Speaker__sink.monitor
./tools/stt.sh transcription -f record_20250112_125726.wav -l fr
```
## How to Use Remotely
The API authentication via Nginx allows you to open the API on the internet and use it remotely.
By adding a reverse proxy like Caddy in front of it, you can also add TLS encryption.
This way, you can securely use this environment remotely.
To use the scripts tools in a remote context, use the environment variables TTS_API_HOST and STT_API_HOST.
Example:
```
TTS_API_HOST="https://your-remote-domain" ./tools/tts.sh -l french -v pierre --play "Aujourd'hui, nous sommes le $(date +%A\ %d\ %B\ %Y)."
STT_API_HOST="https://your-remote-domain" ./tools/stt.sh transcription -f speech_20250112_124805.wav -l fr
```
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