This project implements a recipe extraction agent using the Langchain framework. It is designed to extract structured recipe information such as the title, ingredients, instructions, cooking time, and servings from unstructured text, with a focus on processing transcripts from cooking YouTube videos.

Features

• Extracts key recipe details: Identifies the recipe title, URL (if available), ingredients with quantities, step-by-step instructions, cooking time, and the number of servings
• Processes YouTube transcripts: Specifically built to analyze and extract information from YouTube video transcripts
• Handles messy or incomplete transcripts: Attempts to make educated guesses about missing information and provides reasonable estimates for vague measurements
• Outputs in Markdown format: The extracted recipe is formatted as a clean and readable Markdown string
• Utilizes Langchain: Leverages the power of Langchain for text processing, prompting, and agent creation
• Integrates with OpenAI: Uses OpenAI models (like gpt-4o) for understanding and extracting recipe information
• Includes tools for YouTube search: Can search YouTube for relevant cooking videos

Installation

To use this recipe extraction agent, you'll need to follow these steps:

1. Clone the repository:

   git clone https://github.com/raym26/recipe-extraction-agent-langchain.git
   cd recipe-extraction-agent-langchain

2. Install the required Python packages: It's recommended to use a virtual environment. If you have a requirements.txt file, you can install all dependencies using pip:

   pip install -r requirements.txt

3. Set up environment variables: This project likely requires an OpenAI API key. You might need to create a .env file in the project root and add your API key:

   OPENAI_API_KEY=YOUR_OPENAI_API_KEY