qopscribe/speech_service/main.py

52 lines
1.6 KiB
Python

import asyncio
import json
from config import load_config
from models import AudioTask
from redis_client import RedisClient
from transcriber import WhisperTranscriber
import httpx
async def process_audio_task(redis_client: RedisClient, transcriber: WhisperTranscriber, task_data: dict):
try:
task = AudioTask(**task_data)
except Exception as e:
print(f"Error creating AudioTask from data: {e}")
return
print(f"Processing task {task.uuid} ...")
loop = asyncio.get_running_loop()
text = await loop.run_in_executor(None, transcriber.transcribe, task.file_path)
# Отправляем текст в сервис суммаризации
summarize_task = {
"chat_id": task.chat_id,
"user_id": task.user_id,
"message_id": task.message_id,
"text": text
}
await redis_client.send_to_summarize(summarize_task)
print(f"Sent text to summarize service for task {task.uuid}")
async def main():
config = load_config()
redis_client = RedisClient(
host=config["REDIS_HOST"],
port=config["REDIS_PORT"],
task_channel=config["AUDIO_TASK_CHANNEL"],
result_channel=config["TEXT_RESULT_CHANNEL"],
text_task_channel="text_task_channel"
)
transcriber = WhisperTranscriber(config["WHISPER_MODEL"], config["DEVICE"])
print("Waiting for audio tasks...")
while True:
task_data = await redis_client.get_task(timeout=1)
if task_data:
asyncio.create_task(process_audio_task(redis_client, transcriber, task_data))
await asyncio.sleep(0.1)
if __name__ == "__main__":
asyncio.run(main())