Felipe Viana logo
All projects

Emotion Detection API

Emotion Detection API is a Flask web application that analyzes English text with the Watson NLP EmotionPredict service and reports the dominant emotion.

  • Text submitted in the browser is sent to a Flask endpoint, which calls Watson NLP and extracts scores for anger, disgust, fear, joy, and sadness. The highest score becomes the dominant emotion shown to the user.

  • Purpose

    • Integrate an AI/NLP service into a Python web application
    • Package the analysis logic as a reusable Python module
    • Practice error handling and unit testing around an external API

  • Features

    • Browser interface for submitting text
    • HTTP endpoint that returns all five emotion scores
    • Dominant-emotion calculation from the returned scores
    • Handling for blank or invalid input
    • Unit test cases for each of the five emotions

  • Scope

    • Depends on the hosted Watson NLP service being reachable
    • English text only
    • The test file's import line needs fixing before the tests can run
    • Runs on the Flask development server; no production deployment configuration

  • Notes

    Built on an IBM Developer Skills Network course starter repository.