[英]how to run stanford corenlp server on google colab?
I want to use stanford corenlp for obtaining dependency parser of sentences. 我想使用stanford corenlp获取句子的依赖解析器。 In order to using stanford corenlp in python, we need to do the below steps:
为了在python中使用stanford corenlp,我们需要执行以下步骤:
"java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 75000" .
“java -mx4g -cp”*“edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 75000”。
After that, stanford-corenlp server will run at ' http://localhost:9000 ' . 之后,stanford-corenlp服务器将运行在' http:// localhost:9000 '。 Finally we can call CoreNLPDependencyParser() in python script like this:
最后我们可以在python脚本中调用CoreNLPDependencyParser(),如下所示:
dependency_parser = CoreNLPDependencyParser(url='http://localhost:9000')
Now , i want to run stanford-corenlp server on google colab. 现在,我想在谷歌colab上运行stanford-corenlp服务器。 I uplaoded stanford-corenlp-full-2018-10-05 folder to google drive and mount google drive on google colab.
我上传stanford-corenlp-full-2018-10-05文件夹到google驱动器并在google colab上安装google驱动器。 Then I installed java with below function :
然后我用以下函数安装了java:
import os
def install_java():
!apt-get install -y openjdk-8-jdk-headless -qq > /dev/null
os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-8-openjdk-amd64"
!java -version
install_java()
Now, i don't know how run aforementioned java command and gain localhost address. 现在,我不知道如何运行前面提到的java命令并获取localhost地址。
Is there any way to do that? 有没有办法做到这一点?
To connect from a remote machine to a server running on Google Colab, you need to use ngrok . 要从远程计算机连接到在Google Colab上运行的服务器,您需要使用ngrok 。
Assuming your server is running on an existing notebook, create a new notebook and run the following code (which I found from here ): 假设您的服务器在现有笔记本上运行,请创建一个新笔记本并运行以下代码(我从这里找到):
import os
import subprocess
import json
import time
import requests
def _get_ngrok_tunnel():
while True:
try:
tunnels_json = requests.get("http://localhost:4040/api/tunnels").content
public_url = json.loads(tunnels_json)['tunnels'][0]['public_url']
return public_url
except Exception:
print("Can't get public url, retrying...")
time.sleep(2)
def _warmup_ngrok_tunnel(public_url):
while requests.get(public_url).status_code >= 500:
print("Tunnel is not ready, retrying...")
time.sleep(2)
def expose_port_on_colab(port):
os.system("apt-get install net-tools")
# check that port is open
while not (":{} ".format(port) in str(subprocess.check_output("netstat -vatn", shell=True))):
print("Port {} is closed, retrying...".format(port))
time.sleep(2)
# run ngrok
os.system("wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip")
os.system("unzip ngrok-stable-linux-amd64.zip")
os.system("./ngrok http {0} &".format(port))
public_url = _get_ngrok_tunnel()
_warmup_ngrok_tunnel(public_url)
print("Open {0} to access your {1} port".format(public_url, port))
Then invoke expose_port_on_colab
function with the port that the server is listening to, this function will give you a URL that you can use to connect to the server 然后使用服务器正在侦听的端口调用
expose_port_on_colab
函数,此函数将为您提供可用于连接到服务器的URL
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.