Migrate to WhisperX for speaker diarization

Implement a sliding window audio buffer and update the transcriber to
use WhisperX for transcription, alignment, and speaker identification.
Update the pipeline to handle and store speaker-attributed transcripts.

Additionally, update the LLM processor's reasoning parameter to
"enable_thinking".

main.py

@@ -0,0 +1,6 @@
+def main():
+    print("Hello from dnd-helpers!")
+
+
+if __name__ == "__main__":
+    main()