kesavachenna / k

AI-NLP-Chatbot

An NLP based Chatbot over a simple fully connected neural network architecture using Tensorflow and tflearn. Trained over a custom dataset specified in the JSON file.

Prerequisites

Run pip install -r requirements.txt in your terminal to install all required libraries

Dataset

The dataset.json contains the intents on which the model is trained. Each pattern (sentence) and response is given a particular tag. The model classifies each input sentence under a tag and gives out a random answer corresponding to that tag. The json file can be formatted according to the user's requirements.

PyAudio

In Python versions above 3.6 PyAudio is not a supported library and installing PyAudio directly using
pip install pyaudio fails and needs to be installed separately.

• Windows
  For that, individually install the wheel file given (this is for Python 3.7, find suitable wheel files here) writing the following line in your terminal.
  pip install <.wh file name>

• Ubuntu/Linux
  $ sudo apt-get install python3-pyaudio

Execute Code

• Run trainModel.py to train the Fully Connected Network on the dataset. You can change the number of epochs or layers accordingly, the current architecture gave good results with a ~95% accuracy on predicting tags.

• Run textChatbot.py for text based chatbot with GUI incorporated

• Run voiceBot.py for voice recognition based chatbot

GUI Snippet