💥(summary) replace Whisper with WhisperX for transcription

Switch from insanely-fast-whisper to WhisperX for transcription services,
gaining word-level granularity not available with FlashAttention in previous
API. Whisper was packaged in FastAPI image with basic diarization and
speaker-segment association capabilities.

Implementation prioritized speed to market over testing. Future iterations
will enhance diarization quality and add proper test coverage. API consumers
should expect behavioral differences and new capabilities.

src/summary/summary/api/route/tasks.py

@@ -1,10 +1,15 @@
 """API routes related to application tasks."""
 
+from typing import Optional
+
 from celery.result import AsyncResult
 from fastapi import APIRouter
 from pydantic import BaseModel
 
-from summary.core.celery_worker import process_audio_transcribe_summarize
+from summary.core.celery_worker import (
+    process_audio_transcribe_summarize,
+    process_audio_transcribe_summarize_v2,
+)
 
 
 class TaskCreation(BaseModel):
@@ -13,6 +18,7 @@ class TaskCreation(BaseModel):
     filename: str
     email: str
     sub: str
+    version: Optional[int] = 2
 
 
 router = APIRouter(prefix="/tasks")
@@ -21,9 +27,15 @@ router = APIRouter(prefix="/tasks")
 @router.post("/")
 async def create_task(request: TaskCreation):
     """Create a task."""
-    task = process_audio_transcribe_summarize.delay(
-        request.filename, request.email, request.sub
-    )
+    if request.version == 1:
+        task = process_audio_transcribe_summarize.delay(
+            request.filename, request.email, request.sub
+        )
+    else:
+        task = process_audio_transcribe_summarize_v2.delay(
+            request.filename, request.email, request.sub
+        )
+
     return {"id": task.id, "message": "Task created"}