mlai | Notes on machine learning and artificial intelligence | Machine Learning library

I'm new with Rasa and docker. My attempt to dockerize Rasa-NLU consists of the below steps: Instructions were referred from here

1. Did a Git clone of latest Rasa-NLU
2. Copied Dockerfile_full (from within /docker) to the root directory
3. Changed the port number specified in config_default.json and Dockerfile_full from default(5000) to 5048.

4. Build using: docker build -t rasa_nlu .

5. Run the docker on a port(5048) different from the default(5000) port.

However, the following gets logged in the console:

INFO:rasa_nlu.data_router:Logging requests to '/app/logs/rasa_nlu_log-20170928-091903-1.log'. INFO:__main__:Started http server on port 5000 2017-09-28 09:19:03+0000 [-] Log opened. 2017-09-28 09:19:03+0000 [-] Site starting on 5000 2017-09-28 09:19:03+0000 [-] Starting factory

If I try to hit the Rasa endpoint locally using CURL, I get a connection reset error. My doubts of a wrong port being referred were confirmed when checked within docker container (using docker exec)it was running on port 5000.

Can someone help me out here as to where exactly I'm going wrong and where should the port number be configured ?

Thanks in advance!