Flask AI Project with IBM Watson Libraries

This project is focused on integrating AI functionality into web applications using Embeddable Watson AI libraries.

Goal

• build two AI-based apps
• learn essential practices like unit testing, static code analysis, and error handling.

Requirements

• Python 3.7 or higher
• pip (Python package manager)
• Flask 2.x (installation through requirements.txt)
• IBM Watson SDK

Installation

Create and activate a virtual environment using the following commands:

python -m venv venv
source venv/bin/activate

Install the dependencies using :

pip install -r requirements.txt

Set up IBM Watson API credentials

Add your credentials to an .env file at the root of the project

WATSON_API_KEY=your-api-key  
WATSON_URL=your-service-url  

Usage

Run the flask server

flask --app server --debug run

Open the browser (localhost:5000) or use curl:

# -x to specify the GET command,
# -i to displays the header from the response
curl -X GET -i -w '\n' localhost:5000

License

This project is licensed under the Apache License. See the LICENSE file for details.