# Conversation
This proof of concept is for implementing conversational loop with AI at a low level with raw C.

## How it works
This simple program:
1. Captures audio samples for x seconds into a local file using alsa
2. Sends the raw pcm data to Deepgram STT API for transcription
3. Uses the transcript to call Anthropic to get an assistant's response
4. Converts Anthropic's response to audio using Deepgram's TTS
5. Plays back the generated audio from Deepgram using alsa
6. Quits. _There is no conversational loop at the time of this writing._

## Requirements
Platform: the project is meant for Linux x64. It was successfully run on arch linux, with no guarantees otherwise.

* libcurl
* build-essential
* libasound2-dev

_See more deps in Makefile `install-deps` command._

## Getting started
1. Add `DEEPGRAM_API_KEY` and `ANTHROPIC_API_KEY` to `.bashrc` as environment variables.
2. Build & run
```sh
make
./main
```

## Audio configuration
Please see the `audio.h` and `audio.c` as the params for alsa were hardcoded based on my local arch linux x64 machine. You may have to adjust it based on your setup (e.g. you may have a mic with 2 channels/stereo, which would change the size of each frame).

## Future work
Add an event loop, maybe add multi-threading, so that we can interrupt the AI, ask follow-up questions, and make it sound like a back and forth conversation.