Restaurant Name and Dessert Suggestion Generator

This project utilizes an LLM (Language Learning Model) from the langchain library to generate restaurant names based on selected options and suggest dessert items. It provides a simple yet effective way to come up with unique restaurant names and discover new dessert ideas.

Getting Started

To use the Restaurant Name and Dessert Suggestion Generator, follow these steps:

1. Installation: Make sure you have Python installed on your system. Install the necessary dependencies by running:

   pip install langchain

2. Usage: Run the main script generate.py to start the generator. Follow the prompts to select options for generating restaurant names and dessert suggestions.

3. Customization: Feel free to modify the options or tweak the code according to your preferences. You can explore different parameters and experiment with the LLM to generate more diverse results.

Features

• Restaurant Name Generation: Choose from a list of options such as cuisine type, location, or ambiance to generate unique restaurant names.
• Dessert Suggestion: After generating a restaurant name, get suggestions for delicious dessert items to complement your dining experience.
• Customization: Customize the generator by adding new options or modifying existing ones to tailor the results to your specific requirements.

Examples

Here are some examples of how to use the Restaurant Name and Dessert Suggestion Generator:

1. Generate a name for a French bistro with a cozy ambiance and receive suggestions for classic French desserts.
2. Explore exotic restaurant names inspired by Asian cuisine and discover unique dessert ideas from different Asian cultures.
3. Create playful names for trendy cafes and explore trendy dessert trends to match the modern vibe.

Contributing

Contributions to this project are welcome! If you have any ideas for improvements, new features, or bug fixes, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License. You are free to modify and distribute the code for both personal and commercial use.

Acknowledgments

Special thanks to the langchain library for providing the powerful LLM capabilities used in this project.