Add speaker diarization support and related configurations

- Introduced speaker diarization functionality using pyannote.audio and diart for both streaming and offline processing.
- Updated `pyproject.toml` to include new dependencies for diarization.
- Enhanced `TranscriptComponent` to handle speaker identification and color coding for speakers.
- Added new settings in `Settings` class for enabling and configuring diarization features.
- Updated `Segment` and gRPC models to include speaker ID and confidence metrics.
- Implemented a `DiarizationEngine` for managing diarization processes and speaker assignments.
- Created necessary database migrations to accommodate new speaker fields in segments.
- Added tests for audio reading and diarization functionalities to ensure reliability and correctness.
- Updated documentation to reflect new features and usage instructions for diarization.

pyproject.toml

@@ -52,6 +52,11 @@ summarization = [
     "openai>=2.13.0",
     "anthropic>=0.75.0",
 ]
+diarization = [
+    "pyannote.audio>=3.3",
+    "diart>=0.9.2",
+    "torch>=2.0",
+]
 
 [build-system]
 requires = ["hatchling"]
@@ -112,6 +117,9 @@ markers = [
     "slow: marks tests as slow (model loading)",
     "integration: marks tests requiring external services",
 ]
+filterwarnings = [
+    "ignore:The @wait_container_is_ready decorator is deprecated.*:DeprecationWarning:testcontainers.core.waiting_utils",
+]
 
 [dependency-groups]
 dev = [