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A simple chatbot powered by Pytorch & NPL.
Report Bug ·Request Feature

• The implementation should be easy to follow for beginners and provide a basic understanding of chatbots.
• The implementation is straightforward with a Feed Forward Neural net with 2 hidden layers.Customization for your own use case is super easy. Just modifyintents.json with possible patterns and responses and re-run the training.

This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

• Pytorch
• Natural Language Toolkit
• Numpy

To get started with this project, follow the instructions below:

To run and work with this project you need to have the latest version of Python installed in your system.

Along with Python, we would also need some python modules to work with this project. CheckInstallation for instructions on same.

1. Clone the repo

   git clone https://github.com/mindninjaX/AI-Chatbot

2. Install required packages usingpip install

   pip install torchpip install numpypip install nltk

3. Uncommentnltk.download() & runnltk_utlis.py to installPunkt Tokenzier model

   importnltknltk.download()

Runtrain.py to train the chatbot

python train.py

This is create a new filedata.pth which contains the trained data for our chatbot.

Initiate the chatbot! Runchat.py

python chat.py

Raw data is present inintents.json. Customize this file as per your needs. Just define a newtag, possiblepatterns, and possibleresponses for the chat bot.You have to re-run the training whenever this file is modified.

{"intents": [  {"tag":"greeting","patterns": ["Hi","Hey","How are you","Is anyone there?","Hello","Good day"    ],"responses": ["Hey :-)","Hello, thanks for visiting","Hi there, what can I do for you?","Hi there, how can I help?"    ]  },...]}

See theopen issues for a list of proposed features (and known issues).

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make aregreatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

• Twitter -@mindninjaX
• LinkedIn -linkedin/mindninjax
• Email -rishabh.singh@studentambassadors.com

Project Link:https://github.com/mindninjaX/AI-Chatbot

• VS Code
• Python Setup
• Python Documentation
• NLTK Documentation
• Pytorch Documentation
• JSON Guide