This is a mini project I built using Keras and LSTM to generate text based on a custom dataset.
Features:
- LSTM model for sequence prediction
- Trained on my own text data
- Generates new sentences based on seed text
Tools:
- Python
- TensorFlow / Keras
- Google Colab
Sample Output:
"She was like a creeping vine began to ensnarl the town’s spirit."
How to Run:
- Open the notebook in Colab
- Upload your own
.txtfile - Run all cells and tweak the generation code
Feel free to fork or improve!