NLTK FastAPI Project

Project Description

This project is a REST API developed using FastAPI and NLTK to perform various text processing operations. The API allows text tokenization, partitioning, and named entity recognition. It is intended to be used as a backend by frontend applications and other services that require natural language processing.

Technologies

• Python
• FastAPI
• NLTK
• SQLAlchemy
• Pydantic
• Uvicorn
• Flake8
• PyTest

Installation

1. git clone https://github.com/erikagayan/NLTK-fastAPI.git
2. cd NLTK_FastAPI_Project
3. python -m venv venv
4. source venv/bin/activate
5. pip install -r requirements.txt

In python console:

import nltk
nltk.download()

End click download in menu

Then test if everything is working

from nltk.corpus import brown
brown.words()

You should get: ['The', 'Fulton', 'County', 'Grand', 'Jury', 'said', ...]

6. uvicorn main:app --reload

Examples of use

Open NLTK_fastAPI.postman_collection file in postman and test sentences