Inspiration
from popular examples of RNN generating characters trained on specific dataset like shakespear plays and html generated-code by RNN. inspired from Udacity deep learning with Pytorch
What it does
generate Arabic poems never written before
How I built it
PyTorch RNN netwrok with LTSM cells
Challenges I ran into
1- get a dataset to work on ( i collected it with myself ) 2- sampling inputs to the network and getting right output format 3- working with arabic letters
Accomplishments that I'm proud of
scarbbing Arabic poetry-dataset that contains contain 55K poem for over 540 poet from 19 different countries and 9 different eras at link scrapped entirly from link
What I learned
1-webscarpping 2-RNN 3-LSTM 4-PyTorch workflow
What's next for Arabic poem Generator
1- getting better results using the right sample rather than choosing random sample from the data-set i used. 2- consider what is caller "sea of the poetry" (Bahar) which is the way the poem sounds when we say it, Generally make a more sophisticated poem generator
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