from concurrent.futures import ThreadPoolExecutor import torch import torch.nn as nn import torch.nn.functional as F import uvicorn from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from loguru import logger import os import sys from routers import get_related_words from routers import script_config from routers import tengxunyun_server from script_score.evaluate_script import router as evaluate_script_router from script_score.lstm_network import SentimentNet logger.remove() # 删去 import logger之后自动产生的handler,不删除的话会出现重复输出的现象 logger.add("/data/pythonProject/video_to_word/logs/main_server.{time:YYYY-MM-DD}.log", rotation="00:00", format="{time:YYYY-MM-DD HH:mm:ss,SSS} [{process}] [{thread}] {level} {file} {line} - {message}", level="INFO") threadPool = ThreadPoolExecutor(max_workers=4) app = FastAPI() origins = [ "http://192.168.0.195:9001", "http://192.168.0.195:31013", "http://192.168.6.220:3000", "http://192.168.1.72:3000", "http://192.168.1.91:3000", "http://192.168.1.34", "http://192.168.1.34:8000", "http://192.168.1.105", "http://192.168.1.105:3000", "http://111.206.86.186", "http://111.206.86.186:3000", "http://adsp.tjyourong.com.cn", "http://adsp.tjyourong.com.cn:3000", "http://adsp.c-top.com.cn", "http://adsp.c-top.com.cn:3000" ] app.add_middleware( CORSMiddleware, allow_origins=origins, allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) app.include_router(get_related_words.router) app.include_router(tengxunyun_server.router) app.include_router(script_config.router) app.include_router(evaluate_script_router) if __name__ == '__main__': uvicorn.run(app='main:app', host="0.0.0.0", port=31013, reload=True, debug=True) # gunicorn main:app -w 4 -k uvicorn.workers.UvicornWorker #线上启动命令