Generate short, contextually relevant poems based on input themes or keywords (e.g., nature, love, seasons) using a fine-tuned GPT-2 model. This project uses the
Poetry Dataset by Merve and the
GPT-2 model from Hugging Face.
This project is designed to generate creative and stylistic short poems based on user-input themes or keywords. By fine-tuning a GPT-2 model on a curated poetry dataset, the model learns poetic structures and language styles, allowing it to generate verses relevant to a given theme.
