/glia_assessment_text_classif

Primary LanguageJupyter Notebook

Glia Assessment - Text Classification

How to run the solution

Prerequisite

Have an virtual environment ready with Python 3.10 installed.

  1. Clone this repo
  2. Install the depdencies with pip install -r requirements.txt
  3. In a terminal window, start the server with python rest_api.py
  4. In another terminal winddow, test the API with python run_api.py
  5. The result in the terminal shows the input message, and a dictionary with the intent and confidence score
  6. To change the input text, simply the value of the variable sample_text in the run_api.py file on line 10. Then, we can send this new text to the REST API using python run_api.py and see the prediction for the new text.

Model documentation

The entire experimental protocal and thought process to create the classifier is available in the notebook glia_text_classif_sklearn.ipynb.