This is a very small machine learning project designed to generate a slightly relevant compliment (positive remark) or insult (negative remark) based on a short input phrase (the "context").
Instead of simply generating random text, the program uses TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity to find the most contextually relevant phrase in its training data before delivering the… See the full description on the dataset page: https://huggingface.co/datasets/Likhith069/Contextual-Remark-Generator.
