feat: add speaker mapping and workflow improvements

src/mka/application/config.py

@@ -18,6 +18,7 @@ class AppSettings:
 
     data_root: Path
     whisper_model: Path | None
+    glossary_database: Path = Path("data/database/glossary.sqlite3")
     whisper_executable: str = "whisper-cli"
     ffmpeg_executable: str = "ffmpeg"
     protocol_model: str = "qwen3.8:27b"
@@ -40,9 +41,12 @@ class AppSettings:
         return cls(
             data_root=Path(os.getenv("MKA_DATA_ROOT", "data/meetings")),
             whisper_model=Path(whisper_model) if whisper_model else None,
+            glossary_database=Path(
+                os.getenv("MKA_GLOSSARY_DATABASE", "data/database/glossary.sqlite3")
+            ),
             whisper_executable=os.getenv("MKA_WHISPER_EXECUTABLE", "whisper-cli"),
             ffmpeg_executable=os.getenv("MKA_FFMPEG_EXECUTABLE", "ffmpeg"),
-            protocol_model=os.getenv("MKA_PROTOCOL_MODEL", "qwen3.8:27B"),
+            protocol_model=os.getenv("MKA_PROTOCOL_MODEL", "qwen3.8:27b"),
             ollama_endpoint=os.getenv("MKA_OLLAMA_ENDPOINT", "http://127.0.0.1:11434"),
             language=os.getenv("MKA_LANGUAGE", "de"),
             threads=parsed_threads,