Further clean up main logic

examples/Python3/wakeword.py

@@ -60,52 +60,52 @@
 
 
 def detected_callback():
-    # detector.terminate()
     print("Wake word detected. ", end="", flush=True)
+    send_to_arduino(code_from("[Curiosity]")) 
+    detector.terminate()
+
     while True:
-        detector.terminate()
         with no_alsa_error():
             audio = pyaudio.PyAudio()
         record_audio(audio, out_filename="recording.wav")
-        print("Sending I to Arduino.")
-        usb.write(b"\0I") # I for thinking
-
-        text = transcribe(in_filename="recording.wav")
-        messages.append({"role": "user", "content": text})
-        text = submit_to_chatgpt(messages)
-        messages.append({"role": "assistant", "content": text})
-
-        emotions = re.findall(r"\[.*?\]", text)
-        sentences = re.split(r"\[.*?\]", text)
-
-        print("Sending T to Arduino.")
-        usb.write(b"\0T") # T for talk
-        for i in range(0, len(emotions)):
-            text = (
-                sentences[i]
-                .replace(" .", ".")
-                .replace(" ,", ",")
-                .replace(" ?", "?")
-                .replace(" !", "!")
-                .replace(" :", ":")
-                .replace(" ;", ";")
-                .replace("  ", " ")
-            )
-            text = text.lstrip(".,!?:;")
-            text_to_speech(text, out_filename="response.mp3")
-
-            print("Sending to Arduino:", code_from(emotions[i]))
-            usb.write(code_from(emotions[i]))
-            # with no_alsa_error():
-
+        send_to_arduino(b"\0I")  # I for thinking
+
+        sentence = transcribe(in_filename="recording.wav")
+        messages.append({"role": "user", "content": sentence})
+        sentence = submit_to_chatgpt(messages)
+        messages.append({"role": "assistant", "content": sentence})
+
+        send_to_arduino(b"\0T")  # T for talk
+        sentences, emotions = sentences_and_emotions_from(sentence)
+        for sentence, emotion in zip(sentences, emotions):
+            text_to_speech(sentence, out_filename="response.mp3")
+            send_to_arduino(code_from(emotion))
             play(increased_pitch(AudioSegment.from_mp3("response.mp3")))
 
-            # playingObj = sa.WaveObject.from_wave_file("response_robotic.wav").play()
-            # playingObj.wait_done()
-        print("Sending S to Arduino.")
+        send_to_arduino(b"\0S")  # S for silence
+
+
+def sentences_and_emotions_from(text):
+    emotions = re.findall(r"\[.*?\]", text)
+    sentences = re.split(r"\[.*?\]", text)
+    sentences_cleaned = []
+    for sentence, emotion in zip(sentences, emotions):
+        sentences_cleaned.append(
+            sentence.replace(" .", ".")
+            .replace(" ,", ",")
+            .replace(" ?", "?")
+            .replace(" !", "!")
+            .replace(" :", ":")
+            .replace(" ;", ";")
+            .replace("  ", " ")
+            .lstrip(".,!?:;")
+        )
+    return sentences_cleaned, emotions
+
+def send_to_arduino(code):
+    print("Sending to Arduino:", code)
+    usb.write(code)
 
-        usb.write(b"\0S") # S for silence
-
 
 def record_audio(audio: pyaudio.PyAudio, out_filename: str):
     print("Recording...", end="", flush=True)
@@ -187,7 +187,7 @@ def increased_pitch(audio_segment):
 
 
 def text_to_speech(text, out_filename):
-    print("Transcribing with Polly...", end="")
+    print("Synthesizing speech with Polly...", end="")
 
     start_time = datetime.now()
     response = polly.synthesize_speech(