I put this together after the need arose for a simple AI that could detect sentiment. I was unhappy with what I could find so I opted to create my own using Google's GoEmotion dataset and modifying it a bit.
This was made with python 3.10.11 but might work with other version as well.
Run pip install -r requirements.txt.
Run train_sentiment.py with your own training values or use the pretrained model from the release tab.
import torch.package
model = torch.package.PackageImporter("sentiment_model.pt").load_pickle("model", "model")
model.to(torch.device('cuda' if torch.cuda.is_available() else 'cpu'))
print(model.infer("This is a happy little test sentences!"))
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