grpclb | A gRPC load balancer and service discovery for go

You need to create an environment which is recommended by tensorflow community
Please follow the following link https://www.tensorflow.org/install/pip Please ensure you follow this document step by step

Incase if you feel that its a lot of manual work then use Anaconda navigator Click on Environments tab create Environment named tensorflow and then on to right download all packages which you need to install

Once done click on your new environment and launch jupyter notebook

Creating a certificate for an IP is a bit different than creating a certificate for a name. For a certificate you can add an alternative name (this is how you create wildcard or multi-domain certificates) or a list of IP addresses.

Check the configuration of OpenSSL if the [alt_names] is correct. See https://medium.com/@antelle/how-to-generate-a-self-signed-ssl-certificate-for-an-ip-address-f0dd8dddf754 for a bit more information

To make sure that your certificate is for a domain name or an ip address, use the command openssl x509 -in client.crt -text -noout, in the output of this command you will see something as follow:

Running mvn dependency:tree we see:

The answer was so simple - mvn endpoints-framework:openApiDocs only sees the last version of your repository built by mvn package (which I assume is in target or something).

So I had updated my code but never reran mvn package so that's why the class could not be found.