  One of the major problems writers and poets face is the writer's block. It is
a condition in which an author loses the ability to produce new work or
experiences a creative slowdown. The problem is more difficult in the context
of poetry than prose, as in the latter case authors need not be very concise
while expressing their ideas, also the various aspects such as rhyme, poetic
meters are not relevant for prose. One of the most effective ways to overcome
this writing block for poets can be, to have a prompt system, which would help
their imagination and open their minds for new ideas. A prompt system can
possibly generate one liner, two liner or full ghazals. The purpose of this
work is to give an ode to the Urdu, Hindi poets, and helping them start their
next line of poetry, a couplet or a complete ghazal considering various factors
like rhymes, refrain, and meters. The result will help aspiring poets to get
new ideas and help them overcome writer's block by auto-generating pieces of
poetry using Deep Learning techniques. A concern with creative works like this,
especially in the literary context, is to ensure that the output is not
plagiarized. This work also addresses the concern and makes sure that the
resulting odes are not exact match with input data using parameters like
temperature and manual plagiarism check against input corpus. To the best of
our knowledge, although the automatic text generation problem has been studied
quite extensively in the literature, the specific problem of Urdu, Hindi poetry
generation has not been explored much. Apart from developing system to
auto-generate Urdu, Hindi poetry, another key contribution of our work is to
create a cleaned and preprocessed corpus of Urdu, Hindi poetry (derived from
authentic resources) and making it freely available for researchers in the
area.
