DataSenseiAryan / TS3000_TheChatBOT

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator :stuck_out_tongue_closed_eyes: BDW it uses Pytorch framework and Python3.

TS3000_TheChatBot

Tony Stark 3000 - The Chat Bot Its a very basic level conversational AI.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic like its creator 😝 BDW it uses Pytorch framework and Python3

Data Preprocessing :

Downoad Reddit Data From Here

Follow These :

• Put Downloaded data in Data_Preprocessing directory .

• Unzip the .bz2 file bzip2 -dk filename.bz2

  • *Install Bzip2 on Ubuntu - sudo apt-get update - sudo apt-get install bzip2 - Useful Links : - Installing Bzip2 - Unzipping Error

• Run createDB.py

  python3 createDB.py

  This will create Database from Raw JSON text file which you unzipped earlier.

• Run createCORPUS.py

  python3 createCORPUS.py

  This will create corpus .For example I created 2011-08small.txt

• Move this created corpus to Data directory .

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Trainining Model :

• Start training model using this command :

  python3 main.py -tr data/2013-09small.txt -l -lr 0.0001 -it 50000 -b 64 -p 500 -s 1000

• To resume training from last where yiu left :

  python3 main.py -tr data/2013-09small.txt -l save/model/2013-09small/1-1_512/3000_backup_bidir_model.tar -lr 0.0001 -it 50000 -b 64 -p 500 -s 1000

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Testing Model :

• To test the model in interactive mode :

  python3 main.py -te save/model/2013-09small/1-1_512/3000_backup_bidir_model.tar -c data/2013-09small.txt -i

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Acknowledgements :

• Pytorch-Tutorial-NMT
• Pytorch-Tutorial-Chatbot
• Python Tensorflow Chatbot
• Sentdex Git-REPO
• Reddit Data
• Great Coursera-SeqtoSeq Tutorial

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License :

MIT License

Copyright (c) 2019 Aryan Chaudhary

LICENSE