Christan7652 / chatbot-1

A Chatbot creating with the help of tensorflow , incorporating an Encoder - Decoder Model (RNN) with bahdanau attention and GRU's

A chatbot created using with the help of tensorflow, incorporating an Encoder - Decoder model ( RNN ) with bahdanau attention and GRU's

Files Description :

1. Neural machine traslation model - NMT.ipynb

2. Dataset - cornell_movie_dialogs_corpus

3. Trained model Checkpoints - training_checkpoints , training_checkpoints1

4. PreProcessing of Data - bagofwords.py , combining.py , conversations.py , conversations.pickle , dummy.py ( To View processed Data )

5. Feature Creation - Features.py ( Creating features and labels and storing in pickle format )

The machine translation jupyter notebook can be trained for higher epochs to gain better accuracy , or pretrained (100 epochs) can be used to see the results. The NMT.ipynb contains the model and a translator function in the end , which takes in a sentance as an input and returns what the model thinks the reply should be