https://github.com/sanjay-ar/medappointbot
HealthBot: Your go-to AI assistant for hassle-free medical appointment bookings. With advanced natural language understanding, personalized recommendations, and seamless integration with healthcare systems.
https://github.com/sanjay-ar/medappointbot
pip rasa
Last synced: 2 months ago
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HealthBot: Your go-to AI assistant for hassle-free medical appointment bookings. With advanced natural language understanding, personalized recommendations, and seamless integration with healthcare systems.
- Host: GitHub
- URL: https://github.com/sanjay-ar/medappointbot
- Owner: sanjay-ar
- Created: 2023-09-23T05:15:49.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-09T04:17:56.000Z (about 1 year ago)
- Last Synced: 2024-03-09T05:24:54.430Z (about 1 year ago)
- Topics: pip, rasa
- Homepage: https://www.linkedin.com/posts/sanjay-ar_healthtech-chatbotrevolution-healthcareinnovation-activity-7112441212464201729-zzb1?utm_source=share&utm_medium=member_desktop
- Size: 359 KB
- Stars: 9
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ChatBot Response Generator
This is an open-source project aimed at creating a response generator for chatbots. It allows developers to define various types of responses and integrate them into their chatbot applications.
## Tech/Framework Used
Built with Python, Flask, and NLTK library for natural language processing.
## Screenshots and Demo
---
## Tech/Framework Used
- Python
- Rasa Framework
## Getting Started
To get started with this project, follow these steps:
1. Clone the repository:
```
git clone https://github.com/your-username/rasa-response-generator.git
```
2. Install dependencies:
```
pip install -r requirements.txt
```
3. Define Responses: Edit the `responses.py` file to define your custom responses.
4. Integrate with Rasa: Integrate the generated responses into your Rasa chatbot by importing the `responses.py` module.
5. Train and Run: Train your Rasa chatbot using the integrated responses and run it to start interacting with users.
## Contributing
Contributions are welcome! If you'd like to contribute to this project, please follow these steps:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature/new-feature`).
3. Make your changes and commit them (`git commit -am 'Add new feature'`).
4. Push to the branch (`git push origin feature/new-feature`).
5. Create a new Pull Request.
## Acknowledgements
- Thanks to [Rasa](https://rasa.com/) for providing the framework for building conversational AI chatbots.