IBM Watson Mood Diary

IBM Watson Mood diary is a web application built under a backend Flask framework and frontend Bootstrap framework using a Firebase database.

The purpose of this application is to allow users to submit diary entries about their days to keep track of how they feel. With the use of IBM Watson's Tone Analyzer API, these diary entries are broken down by sentence and analyzed into different emotions.

Setup Instructions

Clone the git repository:

git clone https://github.com/BrandonTang/ibm-watson-mood-diary.git

Create a virtual environment and install the requirements:

virtualenv venv
source venv/bin/activate
pip install -r requirements.txt

Create a Tone Analyzer service by visiting the IBM Cloud Category:

https://cloud.ibm.com/catalog/services/tone-analyzer

Create a Firebase database and connect it to your web application to obtain the configurations needed to connect:

https://firebase.google.com/

Create a .env file with the below environment variables in the root directory found in the Manage section of your Tone Analyzer dashboard:

IBM_API_KEY=IBM_API_KEY
IBM_URL=IBM_URL
apiKey=apiKey
authDomain=authDomain
databaseURL=databaseURL
projectId=projectId
storageBucket=storageBucket
messagingSenderId=messagingSenderId
appId=appId
measurementId=measurementId

Locally run the application by entering the following in the command line:

python main.py