meditazone/ML-API

MACHINE LEARNING API-MODEL

Description

This API leverages Flask a Python web framework, to predict text-based mental wellbeing. The system categoriez mental health into three main categories: Anxiety, Depression, and Stress

How To Use This API-Model

If you want to run this API Server on your local machine, you need to do this steps:

• First, clone this repository using this command: git clone https://github.com/meditazone/ML-API.git.
• Second, open your terminal and go to your project's root directory. You can use cd <name_directory> on your terminal.
• Third, type pip install -r requirements.txt on your terminal and hit Enter.
• Fourth, type python app.py on your terminal and hit Enter.
• Finally, you can run the server using postman or run on your web: http://localhost:8080

API Endpoint

If you want to access our Machine Learning API endpoints, you must have already cloned this repository and completed the previous steps. If you have, you can see several Machine Learning API endpoints below and implement them. Here are the API endpoints along with their descriptions:

Endpoint	Method	Description
/	GET	This endpoint have a function for checking if the response is success
/predict	POST	Predict if a user has some emotion based on emotion detection data

Example

1. Request for Emotion Detection using endpoint /predict

   http://127.0.0.1:8080/predict

2. Example of Text testing

   Key	Value
   text	Hari ini jantung ku terasa berdebar debar, muncul tanda tanda kecemasan dan keringat dingin

3. Response for endpoint /predict

   {
        "predicted_class": "anxiety",
        "predictions": [
            {
                "class": "anxiety",
                "probability": 0.8743003010749817
            },
            {
                "class": "depression",
                "probability": 0.0019245089497417212
            },
            {
                "class": "stress",
                "probability": 0.12377515435218811
            }
        ],
        "text": "Hari ini jantung ku terasa berdebar debar, muncul tanda tanda kecemasan dan keringat dingin"
   }