Download server/base/queue_thread.py from Bread-F/Intelligent-Medical-Guidance-Large-Model: direct link, hf CLI and curl.
- Browser
- Download file 2.25 kB
-
https://huggingface.co/spaces/Bread-F/Intelligent-Medical-Guidance-Large-Model/resolve/main/server/base/queue_thread.py
- Command line
-
hf download hf://spaces/Bread-F/Intelligent-Medical-Guidance-Large-Model/server/base/queue_thread.py
-
curl -L -o queue_thread.py https://huggingface.co/spaces/Bread-F/Intelligent-Medical-Guidance-Large-Model/resolve/main/server/base/queue_thread.py
2.25 kB
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| @File : queue_thread.py | |
| @Time : 2024/09/02 | |
| @Project : https://github.com/PeterH0323/Streamer-Sales | |
| @Author : HinGwenWong | |
| @Version : 1.0 | |
| @Desc : 队列调取相关逻辑(半废弃状态) | |
| """ | |
| from loguru import logger | |
| import requests | |
| import multiprocessing | |
| from ..web_configs import API_CONFIG | |
| from .server_info import SERVER_PLUGINS_INFO | |
| def process_tts(tts_text_queue): | |
| while True: | |
| try: | |
| text_chunk = tts_text_queue.get(block=True, timeout=1) | |
| except Exception as e: | |
| # logger.info(f"### {e}") | |
| continue | |
| logger.info(f"Get tts quene: {type(text_chunk)} , {text_chunk}") | |
| res = requests.post(API_CONFIG.TTS_URL, json=text_chunk) | |
| # # tts 推理成功,放入数字人队列进行推理 | |
| # res_json = res.json() | |
| # tts_request_dict = { | |
| # "user_id": "123", | |
| # "request_id": text_chunk["request_id"], | |
| # "chunk_id": text_chunk["chunk_id"], | |
| # "tts_path": res_json["wav_path"], | |
| # } | |
| # DIGITAL_HUMAN_QUENE.put(tts_request_dict) | |
| logger.info(f"tts res = {res}") | |
| def process_digital_human(digital_human_queue): | |
| while True: | |
| try: | |
| text_chunk = digital_human_queue.get(block=True, timeout=1) | |
| except Exception as e: | |
| # logger.info(f"### {e}") | |
| continue | |
| logger.info(f"Get digital human quene: {type(text_chunk)} , {text_chunk}") | |
| res = requests.post(API_CONFIG.DIGITAL_HUMAN_URL, json=text_chunk) | |
| logger.info(f"digital human res = {res}") | |
| if SERVER_PLUGINS_INFO.tts_server_enabled: | |
| TTS_TEXT_QUENE = multiprocessing.Queue(maxsize=100) | |
| tts_thread = multiprocessing.Process(target=process_tts, args=(TTS_TEXT_QUENE,), name="tts_processer") | |
| tts_thread.start() | |
| else: | |
| TTS_TEXT_QUENE = None | |
| if SERVER_PLUGINS_INFO.digital_human_server_enabled: | |
| DIGITAL_HUMAN_QUENE = multiprocessing.Queue(maxsize=100) | |
| digital_human_thread = multiprocessing.Process( | |
| target=process_digital_human, args=(DIGITAL_HUMAN_QUENE,), name="digital_human_processer" | |
| ) | |
| digital_human_thread.start() | |
| else: | |
| DIGITAL_HUMAN_QUENE = None | |