https://github.com/mindninjax/ai-chatbot
A simple AI Chatbot implementation using Pytorch and NPL
https://github.com/mindninjax/ai-chatbot
artificial-intelligence chatbot deep-learning natural-language-processing python pytorch
Last synced: about 1 year ago
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A simple AI Chatbot implementation using Pytorch and NPL
- Host: GitHub
- URL: https://github.com/mindninjax/ai-chatbot
- Owner: mindninjaX
- Created: 2021-01-14T17:40:55.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-04-01T05:27:54.000Z (over 5 years ago)
- Last Synced: 2025-04-30T09:12:37.712Z (about 1 year ago)
- Topics: artificial-intelligence, chatbot, deep-learning, natural-language-processing, python, pytorch
- Language: Python
- Homepage:
- Size: 15.6 KB
- Stars: 19
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
AI Chatbot
A simple chatbot powered by Pytorch & NPL.
Report Bug
·
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Table of Contents
## About The Project
- 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 modify `intents.json` with possible patterns and responses and re-run the training.
### Built With
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](https://pytorch.org/)
- [Natural Language Toolkit](https://www.nltk.org/_modules/nltk/util.html)
- [Numpy](https://numpy.org/)
## Getting Started
To get started with this project, follow the instructions below:
### Prerequisites
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. Check Installation for instructions on same.
### Installation
1. Clone the repo
```sh
git clone https://github.com/mindninjaX/AI-Chatbot
```
3. Install required packages using `pip install`
```sh
pip install torch
pip install numpy
pip install nltk
```
4. Uncomment `nltk.download()` & run **nltk_utlis.py** to install _Punkt Tokenzier model_
```Python
import nltk
nltk.download()
```
## Usage
Run `train.py` to train the chatbot
```sh
python train.py
```
This is create a new file `data.pth` which contains the trained data for our chatbot.
Initiate the chatbot! Run `chat.py`
```sh
python chat.py
```
## Customize
Raw data is present in `intents.json`. Customize this file as per your needs. Just define a new `tag`, possible `patterns`, and possible `responses` for the chat bot. **You have to re-run the training whenever this file is modified.**
```json
{
"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?"
]
},
...
]
}
```
## Roadmap
See the [open issues](https://github.com/mindninjaX/AI-Chatbot/issues) for a list of proposed features (and known issues).
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly 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
## Contact
### Rishabh Singh
- **Twitter** - [@mindninjaX](https://twitter.com/mindninjaX)
- **LinkedIn** - [linkedin/mindninjax](https://www.linkedin.com/in/mindninjax/)
- **Email** - rishabh.singh@studentambassadors.com
**Project Link:** [https://github.com/mindninjaX/AI-Chatbot](https://github.com/mindninjaX/AI-Chatbot)
## Resources & Acknowledgements
- [VS Code](https://code.visualstudio.com/)
- [Python Setup](https://www.python.org/downloads/)
- [Python Documentation](https://docs.python.org/)
- [NLTK Documentation](https://www.nltk.org/_modules/nltk/util.html)
- [Pytorch Documentation](https://pytorch.org/docs/stable/index.html)
- [JSON Guide](https://www.json.org/)