ai conversation (#49)

* capture audio with alsa

* add brainstorm thoughts

* use basecamp project for managing this project

* add libcurl basic example

* write pcm data to file

* transcribe audio file with deepgram

* transcribe raw audio

* hit anthropic API for ai question

* create full flow with stt, anthropic, tts, and playback

This organizes some components like deepgram into own module, and also
allows gets the full flow to work every time we run the program.

* organize audio and intelligence modules

* organize header files into include directory

* docs: add readme

* docs: explain future work

* docs: add disclaimer about hardcoded audio params

ai-conversation/include/deepgram_client.h

@@ -0,0 +1,21 @@
+#ifndef DEEPGRAMCLIENT_H
+#define DEEPGRAMCLIENT_H
+
+#include <curl/curl.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include "utils.h"
+
+/*
+ * @param audio_file: must already be opened
+ * @returns char *: transcript string result. Call must free.
+ */
+char *dg_transcribe(FILE *audio_file);
+
+/*
+*  @returns response data. Caller must free the struct AND the data within it.
+*  TODO: should return custom struct with details about encoding, sample rate, etc.
+*/
+struct curl_response_data *dg_text_to_speech(char *text);
+
+#endif // DEEPGRAMCLIENT_H