conda的python环境用docker方式安装

复制1、
	vi /home/data/docker/web/python/start.sh 没有就要生成,根据自己的项目定义启动文件：
	
		#!/bin/bash
		
		# llm 语音聊天
		function v3_llm_websocket(){ 
			
			sleep 2
			source /home/data/miniconda3/bin/activate museTalk
			cd /paddle/www/ai/v1/
			
			sleep 2
		
			str=$"\n"
			nohup python "v3_llm_websocket.py" >/dev/null 2>&1 &
			sstr=$(echo -e $str)
			echo $sstr
			
			return 0
		}
		
		# 推拉流
		function v3_push_pull_websocket(){ 
			
			sleep 2
			source /home/data/miniconda3/bin/activate museTalk
			cd /paddle/www/ai/v1/
			
			sleep 2
		
			str=$"\n"
			nohup python "v3_push_pull_websocket.py" >/dev/null 2>&1 &
			sstr=$(echo -e $str)
			echo $sstr
			
			return 0
		}
		
		v3_llm_websocket   # llm 语音聊天
		v3_push_pull_websocket  # 推拉流
		
		/bin/bash
	
	
	chmod u+x /home/data/docker/web/python/*.sh	
	

2、

	docker load<virtual_human.tar
	//GPU：docker run -d -t --name virtualHuman --gpus all --network=host --runtime=nvidia -v /home/data/docker/web:/paddle virtual_human:latest /paddle/python/start.sh
	CPU：docker run -d -t --name virtualHuman --network=host --restart=always -v /home/data/docker/web:/paddle virtual_human:latest /paddle/python/start.sh
	docker start virtualHuman
	docker exec -ti virtualHuman /bin/bash
	
	cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime //更新时间, 填： yes
	date -R # 查看当前时间	
	
	source activate museTalk
	cd /paddle/www/ai/v1/
	ps -aux | grep v3_llm_websocket.py | awk '{print "kill -9 "$2}' | sh
	python v3_llm_websocket.py