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AI Recipe Generation & Extraction with FastAPI

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Overview

Add intelligence to your app using OpenAI’s LLMs. Generate structured recipes from ingredients with prompt engineering, render dynamic prompts, call the API, and process outputs. Build a script to extract recipes from messy HTML and store them cleanly.

Syllabus

Unit 1: Making Basic LLM Calls

Setting Up Your OpenAI Client
Changing Personas with System Prompts
Crafting Effective User Prompts
Controlling Randomness with Temperature Settings
Selecting the Right LLM Model

Unit 2: Prompt Templates and Variables

Loading Templates from Files
Replacing Placeholders with Regular Expressions
Custom Variable Substitution
Integrating the Prompt Generation Pipeline
Creating a Recipe Generator with Templates

Unit 3: Creating the LLM Manager

Setting Up the LLM Foundation
Building the Prompt Rendering Pipeline
Making the LLM Call
Adding Robust Error Handling

Unit 4: AI Recipe Generation

Creating Recipe Generation Prompt Templates
Implement Recipe Generation Input Validation
AI Integration for Recipe Generation
Set up Recipe Response Parsing Foundation with Debug Output
Implement Recipe AI Response Parser
Complete Recipe Generation with JSON Response and Error Handling

Unit 5: Extracting Recipes from HTML

Create Recipe Extraction Prompt Templates
Complete Recipe HTML Extraction Function
Implement Recipe String Parser
Complete Recipe Database Storage Implementation
Complete Recipe Extraction Script Main Function

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