Food Chatbot

Description

This project demonstrates a tooling capabilities for LLMs using the Haystack framework and Azure OpenAI. It showcases how to create a basic question-answering system.

Features

• Weather checker and recipe finder
• Custom prompt template
• Integration with Azure OpenAI for text generation
• Visualizes the pipeline structure

Prerequisites

• Git
• Python 3.10+
• Poetry
• An Azure OpenAI account with API access
• A Spoonacular API key
• Visual Crossing Weather API key

Installation

1. Clone this repository:

• git clone https://github.com/sebhoron/food-chatbot.git
• cd food-chatbot

2. Install the required packages:

• poetry shell
• poetry install

3. Create a .env file in the project root and add your Azure OpenAI credentials:

• AZURE_OPENAI_KEY=your_api_key
• AZURE_OPENAI_INSTANCE_NAME=your_instance_name
• AZURE_OPENAI_ENDPOINT0=your_instance_endpoint
• AZURE_OPENAI_DEPLOYMENT_NAME=your_model_deployment_name
• VISUAL_CROSSING_WEATHER_API_KEY=your_weather_api_key
• SPOONACULAR_API_KEY=your_food_api_key

Usage

Run the main script: poetry run python -m food-chatbot

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Acknowledgements

This project uses the Haystack framework by deepset.