ai-conversation/Makefile

@@ -1,7 +1,7 @@
 CC = gcc
 CFLAGS = -Wall -g
-TARGET = audio_capture
-SRC = audio_capture.c deepgram_client.c utils.c
+TARGET = main
+SRC = main.c deepgram_client.c utils.c intelligence.c audio.c
 LIBS = -lavdevice -lavformat -lavcodec -lavutil -lasound -lcurl
 
 $(TARGET): $(SRC)

ai-conversation/audio.c

@@ -1,113 +1,12 @@
-#include "deepgram_client.h"
-#include "utils.h"
-#include <alsa/asoundlib.h>
-#include <alsa/control.h>
-#include <alsa/pcm.h>
-#include <curl/curl.h>
-#include <stdio.h>
-#include <stdlib.h>
+#include "audio.h"
 
-// NOTE: find this via `arecord -l`
-#define ALSA_MIC_HARDWARE_DEVICE "hw:3"
-#define ALSA_SPEAKER_HARDWARE_DEVICE "default"
-
-void print_pcm_state(snd_pcm_t *pcm_handle) {
+static void print_pcm_state(snd_pcm_t *pcm_handle) {
   snd_pcm_state_t state = snd_pcm_state(pcm_handle);
   const char *state_name = snd_pcm_state_name(state);
   printf("State of pcm handle: %s\n", state_name);
 }
 
-char *find_ai_response(char *json_response) {
-  printf("Parsing response: %s \n", json_response);
-  char *start = strstr(json_response, "\"text\":\"");
-  if (!start)
-    return NULL;
-
-  start += 8; // Skip past "text":"
-  char *end = strchr(start, '"');
-  if (!end)
-    return NULL;
-
-  size_t len = end - start;
-  char *result = malloc(len + 1);
-  strncpy(result, start, len);
-  result[len] = '\0';
-  return result;
-}
-
-char *ask_ai(char *question) {
-  CURL *curl;
-  CURLcode res;
-  struct curl_slist *headers = NULL;
-
-  // Initialize response buffer
-  struct curl_response_data response = {0};
-  response.data = malloc(1);
-  response.size = 0;
-
-  // Create JSON payload
-  char json_payload[2048];
-  snprintf(json_payload, sizeof(json_payload),
-           "{"
-           "\"model\":\"claude-3-haiku-20240307\","
-           "\"max_tokens\":1024,"
-           "\"messages\":[{\"role\":\"user\",\"content\":\"%s\"}]"
-           "}",
-           question);
-
-  curl = curl_easy_init();
-  if (curl) {
-    char *anthropic_api_key = getenv("ANTHROPIC_API_KEY");
-    if (!anthropic_api_key) {
-      printf("ANTHROPIC_API_KEY not set\n");
-      free(response.data);
-      curl_easy_cleanup(curl);
-      return NULL;
-    }
-    char auth_header[256];
-    snprintf(auth_header, sizeof(auth_header), "x-api-key: %s",
-             anthropic_api_key);
-    headers = curl_slist_append(headers, "content-type: application/json");
-    headers = curl_slist_append(headers, auth_header);
-    headers = curl_slist_append(headers, "anthropic-version: 2023-06-01");
-
-    curl_easy_setopt(curl, CURLOPT_URL,
-                     "https://api.anthropic.com/v1/messages");
-    curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
-    curl_easy_setopt(curl, CURLOPT_POST, 1L);
-    curl_easy_setopt(curl, CURLOPT_POSTFIELDS, json_payload);
-    curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, curl_write_callback_response);
-    curl_easy_setopt(curl, CURLOPT_WRITEDATA, &response);
-
-    res = curl_easy_perform(curl);
-    if (res != CURLE_OK) {
-      fprintf(stderr, "curl failed: %s\n", curl_easy_strerror(res));
-      free(response.data);
-      curl_slist_free_all(headers);
-      curl_easy_cleanup(curl);
-      return NULL;
-    }
-
-    curl_slist_free_all(headers);
-    curl_easy_cleanup(curl);
-  }
-
-  // Parse AI response from complete response
-  char *answer = find_ai_response(response.data);
-  free(response.data);
-
-  return answer;
-}
-
-/* count: how many bytes in the buffer
- *  returns int: 0 if success, -1 if failure
- *  NOTE: This function assumes that the audio data is using:
- *  - linear16 formatting (each sample is 16 bits)
- *  - one channel (1 sample)
- *  - with 48000 HZ sampling rate
- *  Hence, it's 2 bytes per frame.
- */
-int play_pcm_data(char *buf, size_t byte_count) {
+int audio_play(char *buf, size_t byte_count) {
   printf("going to play audio of %d bytes of data\n", (int)byte_count);
 
   snd_pcm_t *pcm_handle;
@@ -192,7 +91,9 @@ int play_pcm_data(char *buf, size_t byte_count) {
   return 0;
 }
 
-int main() {
+char *audio_capture(uint seconds) {
+  char *output_file = "output.pcm";
+
   snd_pcm_t *pcm_handle = NULL;
 
   int err;
@@ -200,7 +101,7 @@ int main() {
                      SND_PCM_STREAM_CAPTURE, 0);
   if (err < 0) {
     printf("unable to open pcm device");
-    return -1;
+    return NULL;
   }
   print_pcm_state(pcm_handle);
 
@@ -213,14 +114,14 @@ int main() {
   if (err < 0) {
     snd_pcm_close(pcm_handle);
     printf("unable to get info of pcm device");
-    return -1;
+    return NULL;
   }
   name = snd_pcm_info_get_name(pcm_info);
   if (err < 0) {
     printf("unable to get card info");
     snd_pcm_close(pcm_handle);
     snd_pcm_info_free(pcm_info);
-    return -1;
+    return NULL;
   }
   printf("got pcm name: %s \n", name);
 
@@ -231,14 +132,14 @@ int main() {
   err = snd_pcm_hw_params_malloc(&params);
   if (err < 0) {
     fprintf(stderr, "unable to mallow hw params");
-    return -1;
+    return NULL;
   }
   err = snd_pcm_hw_params_any(pcm_handle, params);
   if (err < 0) {
     fprintf(stderr, "unable to find ranges for hw device");
     snd_pcm_close(pcm_handle);
     snd_pcm_hw_params_free(params);
-    return -1;
+    return NULL;
   }
 
   uint period_size = 1024;
@@ -259,7 +160,7 @@ int main() {
     fprintf(stderr, "unable to prepare pcm\n");
     snd_pcm_close(pcm_handle);
     snd_pcm_hw_params_free(params);
-    return -1;
+    return NULL;
   }
 
   print_pcm_state(pcm_handle);
@@ -269,12 +170,12 @@ int main() {
     fprintf(stderr, "unable to start pcm");
     snd_pcm_close(pcm_handle);
     snd_pcm_hw_params_free(params);
-    return -1;
+    return NULL;
   }
 
   print_pcm_state(pcm_handle);
 
-  const uint seconds_to_capture = 5;
+  const uint seconds_to_capture = seconds;
   const uint periods_to_read =
       (samples_per_second * seconds_to_capture) / period_size;
   char *buf = malloc(period_size * channel_count * bytes_per_sample);
@@ -285,10 +186,10 @@ int main() {
    *  Each period is 2048 BYTES because each frame is 2 bytes.
    *  Each frame is 2 bytes because of 1 channel, and 16 bit format
    */
-  FILE *file = fopen("output.pcm", "wb");
+  FILE *file = fopen(output_file, "wb");
   if (file == NULL) {
     perror("Error opening file");
-    return 1;
+    return NULL;
   }
   printf("======READING FRAMES for 5 seconds========\n");
   while (snd_pcm_readi(pcm_handle, (void *)buf, period_size) > 0 &&
@@ -306,42 +207,9 @@ int main() {
 
   fclose(file);
 
-  // Reopen file for reading and transcribe
-  file = fopen("output.pcm", "rb");
-  if (file != NULL) {
-    char *transcript = dg_transcribe(file);
-    if (transcript) {
-      printf("Transcript: %s\n", transcript);
-
-      char *ai_answer = ask_ai(transcript);
-      if (ai_answer) {
-        printf("AI answer: %s\n", ai_answer);
-
-        struct curl_response_data *tts_response = dg_text_to_speech(ai_answer);
-        int result = play_pcm_data(tts_response->data, tts_response->size);
-        if (result != 0) {
-          fprintf(stderr, "failure in playback");
-        }
-
-        free(tts_response->data);
-        free(tts_response);
-
-        // we have this response data, and buffer within it. we can loop through
-        // it and write the pcm data within it to alsa
-        free(ai_answer);
-      }
-      free(transcript);
-    } else {
-      fprintf(stderr, "unable to get transcript");
-    }
-    fclose(file);
-  } else {
-    fprintf(stderr, "unable to open file for reading\n");
-  }
-
   free(buf);
   snd_pcm_close(pcm_handle);
   snd_pcm_hw_params_free(params);
 
-  return 0;
+  return output_file;
 }

ai-conversation/audio.h

@@ -0,0 +1,29 @@
+#ifndef AUDIOCAPTURE_H
+#define AUDIOCAPTURE_H
+
+#include <stdint.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <alsa/asoundlib.h>
+#include <alsa/control.h>
+#include <alsa/pcm.h>
+
+// NOTE: find this via `arecord -l`
+#define ALSA_MIC_HARDWARE_DEVICE "hw:3"
+#define ALSA_SPEAKER_HARDWARE_DEVICE "default"
+
+// Captures audio for given seconds, and returns file name that we captured the
+// audio into
+char *audio_capture(uint seconds);
+
+/* count: how many bytes in the buffer
+ *  returns int: 0 if success, -1 if failure
+ *  NOTE: This function assumes that the audio data is using:
+ *  - linear16 formatting (each sample is 16 bits)
+ *  - one channel (1 sample)
+ *  - with 48000 HZ sampling rate
+ *  Hence, it's 2 bytes per frame.
+ */
+int audio_play(char *buf, size_t byte_count);
+
+#endif // AUDIOCAPTURE_H

ai-conversation/intelligence.c

@@ -0,0 +1,86 @@
+#include "intelligence.h"
+#include "utils.h"
+#include <curl/curl.h>
+#include <string.h>
+
+static char *find_ai_response(char *json_response) {
+  printf("Parsing response: %s \n", json_response);
+  char *start = strstr(json_response, "\"text\":\"");
+  if (!start)
+    return NULL;
+
+  start += 8; // Skip past "text":"
+  char *end = strchr(start, '"');
+  if (!end)
+    return NULL;
+
+  size_t len = end - start;
+  char *result = malloc(len + 1);
+  strncpy(result, start, len);
+  result[len] = '\0';
+  return result;
+}
+
+char *ai_ask(char *question) {
+  CURL *curl;
+  CURLcode res;
+  struct curl_slist *headers = NULL;
+
+  // Initialize response buffer
+  struct curl_response_data response = {0};
+  response.data = malloc(1);
+  response.size = 0;
+
+  // Create JSON payload
+  char json_payload[2048];
+  snprintf(json_payload, sizeof(json_payload),
+           "{"
+           "\"model\":\"claude-3-haiku-20240307\","
+           "\"max_tokens\":256,"
+           "\"messages\":[{\"role\":\"user\",\"content\":\"Make it one sentence answer: %s\"}]"
+           "}",
+           question);
+
+  curl = curl_easy_init();
+  if (curl) {
+    char *anthropic_api_key = getenv("ANTHROPIC_API_KEY");
+    if (!anthropic_api_key) {
+      printf("ANTHROPIC_API_KEY not set\n");
+      free(response.data);
+      curl_easy_cleanup(curl);
+      return NULL;
+    }
+    char auth_header[256];
+    snprintf(auth_header, sizeof(auth_header), "x-api-key: %s",
+             anthropic_api_key);
+    headers = curl_slist_append(headers, "content-type: application/json");
+    headers = curl_slist_append(headers, auth_header);
+    headers = curl_slist_append(headers, "anthropic-version: 2023-06-01");
+
+    curl_easy_setopt(curl, CURLOPT_URL,
+                     "https://api.anthropic.com/v1/messages");
+    curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
+    curl_easy_setopt(curl, CURLOPT_POST, 1L);
+    curl_easy_setopt(curl, CURLOPT_POSTFIELDS, json_payload);
+    curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, curl_write_callback_response);
+    curl_easy_setopt(curl, CURLOPT_WRITEDATA, &response);
+
+    res = curl_easy_perform(curl);
+    if (res != CURLE_OK) {
+      fprintf(stderr, "curl failed: %s\n", curl_easy_strerror(res));
+      free(response.data);
+      curl_slist_free_all(headers);
+      curl_easy_cleanup(curl);
+      return NULL;
+    }
+
+    curl_slist_free_all(headers);
+    curl_easy_cleanup(curl);
+  }
+
+  // Parse AI response from complete response
+  char *answer = find_ai_response(response.data);
+  free(response.data);
+
+  return answer;
+}

ai-conversation/intelligence.h

@@ -0,0 +1,9 @@
+#ifndef INTELLIGENCE_H
+#define INTELLIGENCE_H
+
+#include <stdio.h>
+#include <stdlib.h>
+
+char *ai_ask(char *question);
+
+#endif //INTELLIGENCE_H

ai-conversation/main.c

@@ -1,5 +1,45 @@
+#include "audio.h"
+#include "deepgram_client.h"
+#include "intelligence.h"
+#include "utils.h"
 #include <stdio.h>
+#include <stdlib.h>
 
-int main() {
-  printf("hello world \n");
+int main(int argc, char *argv[]) {
+  char *capture_audio_file = audio_capture(5);
+
+  // Reopen file for reading and transcribe
+  FILE *file = fopen(capture_audio_file, "rb");
+  if (file != NULL) {
+    char *transcript = dg_transcribe(file);
+    if (transcript) {
+      printf("Transcript: %s\n", transcript);
+
+      char *ai_answer = ai_ask(transcript);
+      if (ai_answer) {
+        printf("AI answer: %s\n", ai_answer);
+
+        struct curl_response_data *tts_response = dg_text_to_speech(ai_answer);
+        int result = audio_play(tts_response->data, tts_response->size);
+        if (result != 0) {
+          fprintf(stderr, "failure in playback");
+        }
+
+        free(tts_response->data);
+        free(tts_response);
+
+        // we have this response data, and buffer within it. we can loop through
+        // it and write the pcm data within it to alsa
+        free(ai_answer);
+      }
+      free(transcript);
+    } else {
+      fprintf(stderr, "unable to get transcript");
+    }
+    fclose(file);
+  } else {
+    fprintf(stderr, "unable to open file for reading\n");
+  }
+
+  return 0;
 }