Custom Autocorrect: Scrape a website and use it as dictionary to check for spellings and suggests correction if wrong or returns the same if already correct
Text Tagger: Classify sentences to classes based on intent
These APIs are built using Flask using additional packages such as NLTK, BS4. They use the routes spell_check/ and text_tag/ and accept q as the input string.
It is suggested that you use virtualenv for local installation of python and preventing version conflicts. Assuming you already have it installed already, run the following commands.
virtualenv env
source env/bin/activateInstall all the required packages using pip
pip install -r requirements.txtRun the required API
python <script-name>Currently the APIs are hardcoded to run on localhost:3000. For dev purposed and using multiple APIs this port can be changed as per requirement.