laranea / toot Goto Github PK

If you're like me and use Twitter to keep up with researchers, blog posts and members of the Data Science & ML community in general, you might find yourself liking tweets to read later or for when you need a post when you're working on a relevant problem.

Well then you'll also know, the number of likes start to grow quickly and searching/filtering through all the likes to find the relevant likes you need, when you need them, is a pain. Hence, the use case for this quick app. Due to the simplicity of this app, I decided to build it with quickly with Streamlit.

• Generate topics from tweets
• Filter based on tweet topic
• Regex search
• Click directly on links to blogs, links, pdfs, etc.

You will need a Twitter API consumer key as well as Twitter App access token. You can get all of those here: https://developer.twitter.com/en/apply-for-access.html

To edit the number of times between api requests to twitter, change the REQUEST_TIME_LIMIT variable (default is 60min).

You can pull a stock image from Docker Hub by running the following:

docker pull bigsidhu/toot

docker run -d --name `container_name` -p 8501:8501 \
-e CONSUMER_KEY=`your_twitter_consumer_key` \
-e CONSUMER_SECRET=`your_twitter_consumer_secret` \
-e ACCESS_TOKEN=`your_twitter_access_token` \
-e ACCESS_TOKEN_SECRET=`your_access_token_secret` \
-e REQUEST_TIME_LIMIT="30" bigsidhu/toot

You can start it as a docker instance by running the following:

docker build -t toot .

docker run -d --name `container_name` -p 8501:8501 \
-e CONSUMER_KEY=`your_twitter_consumer_key` \
-e CONSUMER_SECRET=`your_twitter_consumer_secret` \
-e ACCESS_TOKEN=`your_twitter_access_token` \
-e ACCESS_TOKEN_SECRET=`your_access_token_secret` \
-e REQUEST_TIME_LIMIT="30" toot

Add your twitter api keys in the source code or as environment variables and running:

pip install -r requirements.txt
streamlit run toot/toot.py

To background the process nohup streamlit run toot/toot.py & or a schtask on Windows.

Then access it by going to http://localhost:8501.

I'll update this repo periodically and will add the following features:

• Reduced loading time
• Topic Filtering
• Add account of tweet that is favourited
• Image on Dockerhub