sentence_generation

generate the response for out of domain query

1. QA_generation.py file help to generate question answer pair save in pickle format
2. generate_data.py generate dataset where pass parameter -t=train/test and -n=number of QA pair want
3. word_tokernized.py help its create source and target vocabulary and clean the data
4. reader.py used for prepare data for model
5. try_sqs_with_attension.py create seq2seqmodel where decoder use multiple LSTMCell(either GRUCell) for encoder and dencoder. Also,Apply attension and beam search for decoding
6. model.py used simple encoder decoder method with beam search