feat(transcription): add meeting assistant micro-service v0.1.0

- Added FastAPI backend with FFmpeg and Gemini 2.0 integration
- Added React frontend with upload and meeting list
- Integrated into main docker-compose stack and dashboard

transcription-tool/backend/services/orchestrator.py

@@ -0,0 +1,60 @@
+import logging
+from sqlalchemy.orm import Session
+from .ffmpeg_service import FFmpegService
+from .transcription_service import TranscriptionService
+from ..database import Meeting, TranscriptChunk
+from ..config import settings
+
+logger = logging.getLogger(__name__)
+
+def process_meeting_task(meeting_id: int, db_session_factory):
+    db = db_session_factory()
+    meeting = db.query(Meeting).filter(Meeting.id == meeting_id).first()
+    if not meeting:
+        return
+
+    try:
+        ffmpeg = FFmpegService()
+        transcriber = TranscriptionService()
+
+        # Phase 1: Split
+        meeting.status = "SPLITTING"
+        db.commit()
+        
+        meeting.duration_seconds = ffmpeg.get_duration(meeting.file_path)
+        chunks = ffmpeg.split_audio(meeting.file_path, meeting.id)
+        
+        # Phase 2: Transcribe
+        meeting.status = "TRANSCRIBING"
+        db.commit()
+        
+        all_text = []
+        for i, chunk_path in enumerate(chunks):
+            offset = i * settings.CHUNK_DURATION_SEC
+            logger.info(f"Processing chunk {i+1}/{len(chunks)} with offset {offset}s")
+            
+            result = transcriber.transcribe_chunk(chunk_path, offset)
+            
+            # Save chunk result
+            db_chunk = TranscriptChunk(
+                meeting_id=meeting.id,
+                chunk_index=i,
+                raw_text=result["raw_text"]
+            )
+            db.add(db_chunk)
+            all_text.append(result["raw_text"])
+            db.commit()
+            
+        # Phase 3: Finalize
+        meeting.status = "COMPLETED"
+        # Combine summary (first attempt - can be refined later with separate LLM call)
+        # meeting.summary = ... 
+        db.commit()
+        logger.info(f"Meeting {meeting.id} processing completed.")
+
+    except Exception as e:
+        logger.error(f"Error processing meeting {meeting_id}: {e}", exc_info=True)
+        meeting.status = "ERROR"
+        db.commit()
+    finally:
+        db.close()