This project allows you to source data from Twitter and run real-time ML models on the feed.
You’ll be able to analyze the messages as they happen!
How to run
Create a Quix account or log-in and visit the Library to use this project.
Setup & deploy on the library item, deploys a pre-built container in Quix. Complete the environment variables to configure the container.
Edit code on the library item, forks the project to your own Git repo so you can customize it before deploying.
The code sample uses the following environment variables:
- output: This is the output topic for Twitter data.
- twitter_bearer_token: Your Twitter bearer token.
- twitter_search_params: The tweets to search for.
- A Twitter developer account (sign up at https://developer.twitter.com/en/apply-for-access).
Submit forked projects to the Quix GitHub repo. Any new project that we accept will be attributed to you and you'll receive $200 in Quix credit.
This project is open source under the Apache 2.0 license and available in our GitHub repo.
Please star us and mention us on social to show your appreciation.