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This project is a demonstration of building a chatbox interface integrated with the OpenAI Assistant API using Azure and Streamlit. The goal is to create a conversational interface that interacts with the user through natural language and provides responses based on predefined functions and actions.
This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
- npm
npm install npm@latest -g
Below is an example of how you can instruct your audience on installing and setting up your app. This template doesn't rely on any external dependencies or services.
- Get a free API Key at https://example.com
- Clone the repo
git clone https://github.com/your_username_/Project-Name.git
- Install NPM packages
npm install
- Enter your API in
config.jsconst API_KEY = 'ENTER YOUR API';
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
- Streamlit's Session State: Leveraging Streamlit's Session State for creating a clean and reactive app following an MVC-like pattern.
- OpenAI Assistant API Integration: Configuring the OpenAI Assistant API's Function calling feature to enable interaction between the chatbot and the app.
- Chatbox and Plotly Map Layout: Designing the chatbot interface and integrating it with Plotly maps using Streamlit's layout capabilities.
- Chatbox and Plotly Map Layout
- Integrate Plotly maps for visualization of geographic data.
- Future Enhancements
- Implement additional features such as user authentication and session management.
- Enhance the chatbot capabilities with advanced natural language processing.
- Explore integration with other AI services and APIs for expanded functionality.
- Continuously monitor and update the project to incorporate new technologies and improvements.
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Your Name - @your_twitter - email@example.com
Project Link: https://github.com/your_username/repo_name
Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!