Persian Poetry Generator using GRU Model

In this notebook we create a model to generate Persian Khayyam poetry

Dataset

About Dataset

The dataset contains 16376 hemistichs of Khayyam's poetry.

Hemistichs are divided by |

Encoding Text

At first, we extract all vocabularies and assign a number to each of them.

• char2index: for encoding purposes
• index2char: for text generation purposes

Before modeling, we create sequences of data.

Modeling

We use GRU model with 1024 units and a dense layer to predict probability of each character.

Prediction

At the end, we use our model to generate poems.