mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-20 07:10:40 -07:00
Jamie Pine
b434db22f6
The suite hadn't run green since the routes refactor: - test_profile_duplicate_names.py imported the pre-refactor module layout and broke collection; now imports backend.services.profiles - tests/conftest.py puts the repo root and backend dir on sys.path so files collect standalone instead of depending on run order - test_cors.py tested a hand-copied mirror of the origin list that had drifted from app.py (missing http://tauri.localhost); it now builds the app via the real create_app() factory - test_progress.py simulated a 1KB download, below the tracker's 1MB reporting threshold; simulation raised to 5MB - slow/timeout markers registered in pyproject Ruff: ~900 violations auto-fixed (typing modernization, import sorting, unused imports, whitespace). The remaining rules are baselined in pyproject.toml with per-rule counts to burn down, plus per-file carve-outs for deliberate env-before-import ordering. ruff check is now clean; suite is 134 passed, 2 skipped.
85 lines
2.8 KiB
Python
85 lines
2.8 KiB
Python
"""Transcription endpoints."""
|
|
|
|
import asyncio
|
|
import tempfile
|
|
from pathlib import Path
|
|
|
|
from fastapi import APIRouter, File, Form, HTTPException, UploadFile
|
|
|
|
from .. import models
|
|
from ..services import transcribe
|
|
from ..services.task_queue import create_background_task
|
|
from ..utils.tasks import get_task_manager
|
|
|
|
router = APIRouter()
|
|
|
|
UPLOAD_CHUNK_SIZE = 1024 * 1024 # 1MB
|
|
|
|
|
|
@router.post("/transcribe", response_model=models.TranscriptionResponse)
|
|
async def transcribe_audio(
|
|
file: UploadFile = File(...),
|
|
language: str | None = Form(None),
|
|
model: str | None = Form(None),
|
|
):
|
|
"""Transcribe audio file to text."""
|
|
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
|
|
while chunk := await file.read(UPLOAD_CHUNK_SIZE):
|
|
tmp.write(chunk)
|
|
tmp_path = tmp.name
|
|
|
|
try:
|
|
from ..backends import WHISPER_HF_REPOS
|
|
from ..utils.audio import load_audio
|
|
|
|
audio, sr = await asyncio.to_thread(load_audio, tmp_path)
|
|
duration = len(audio) / sr
|
|
|
|
whisper_model = transcribe.get_whisper_model()
|
|
model_size = model if model else whisper_model.model_size
|
|
|
|
valid_sizes = list(WHISPER_HF_REPOS.keys())
|
|
if model_size not in valid_sizes:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=f"Invalid model size '{model_size}'. Must be one of: {', '.join(valid_sizes)}",
|
|
)
|
|
|
|
already_loaded = whisper_model.is_loaded() and whisper_model.model_size == model_size
|
|
if not already_loaded and not whisper_model._is_model_cached(model_size):
|
|
progress_model_name = f"whisper-{model_size}"
|
|
task_manager = get_task_manager()
|
|
|
|
async def download_whisper_background():
|
|
try:
|
|
await whisper_model.load_model_async(model_size)
|
|
task_manager.complete_download(progress_model_name)
|
|
except Exception as e:
|
|
task_manager.error_download(progress_model_name, str(e))
|
|
|
|
task_manager.start_download(progress_model_name)
|
|
create_background_task(download_whisper_background())
|
|
|
|
raise HTTPException(
|
|
status_code=202,
|
|
detail={
|
|
"message": f"Whisper model {model_size} is being downloaded. Please wait and try again.",
|
|
"model_name": progress_model_name,
|
|
"downloading": True,
|
|
},
|
|
)
|
|
|
|
text = await whisper_model.transcribe(tmp_path, language, model_size)
|
|
|
|
return models.TranscriptionResponse(
|
|
text=text,
|
|
duration=duration,
|
|
)
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
finally:
|
|
Path(tmp_path).unlink(missing_ok=True)
|