beveradb/string-scorer repository overview

⁠String Scorer API

⁠Overview

String Scorer provides a simple API which takes an input string, scores it using various machine learning models, and returns the scores. It provides a minimal web interface which plots the results on a graph, in real-time as requests arrive.

The simple yet powerful interface for scoring text based on different criteria, such as toxicity or probability of hallucinations, makes it an useful tool for developers or researchers working in the fields of text analysis, machine learning, or natural language processing.

The application is built using Python, with Flask for the backend, React for the frontend, and utilizes Socket.IO for real-time communication between the client and server. It also integrates with PostgreSQL for data persistence, allowing for the storage and retrieval of scored text entries.