In our series we have constructured two microservices. The first would submit a string of text, or a message, to IBM Watson’s tone analysis service and report back tonal analytics based on the input. The second microservice would accept a URL and return a text scrape of the content of that page. Continue reading Part 7: Creating a Latest Stock Ticker News Microservice
Just a quick post for those of you that have been following the Microservices with Watson, Python, Docker, and Go – I have added images to the Docker Hub repository. You can now pull down the microservices and deploy them with out having to do anything other than a ‘docker run’
Tone Analysis Docker
Web Content Extractor and Scraper Docker
Creating a Python Microservice using Flask
We already have a Python application we wrote back in part 3. This application takes in a text string and submits the text to IBM Watson to return an analysis of the text. The next step in building our application would be to take this piece of code and turn it into a Microservice.
The first step of creating a microservice from our code is to expose the functionality through some sort of interface. We will use Flask to expose our functionality via a HTTP (1.1. we will work on a 2.0 architecture update in a future post). Additionally we will set our BlueMix credentials from environment variables where the Python is executed. Continue reading Part 5: Making Watson Microservice using Python, Docker, and Flask
It’s no secret that I was not looking forward to figuring out the technical innards of sentiment analysis in order to make my simple system to tell me if I need to build a bunker and stock up on basic survival supplies like water, food, and batteries. Continue reading Part 3: IBM Completely Redeems Itself – Building a Tone analysis Service using IBM Bluemix and Watson