Description

EmoBrand is a web tool that aims to help companies discover how their clients feel about them by segmenting social media posts into the basic 7 emotions: anger, disgust, fear, joy, neutral, sadness, surprise.

Final.graduation.project.demo.final.mp4

Usage:

1. Install Requirements

Download and install the latest version from python from here and make sure to select the option "Add to path" while installing.
Install the rest of the requirements using the following commands.
```
pip install -r requirements.txt
```

2. Run model code

To be able to run the application without any issues, you need to run the notebook roberta_emotion_classification_model.ipynb
This notebook will train the model and save it into a new folder called model. This folder will be used while running the app.

3. Run application Congrats! Now the app is ready to run!!

Go to index folder and double click on app.py.
Open up your browser and type http://127.0.0.1:5000/