Build Your First AI App: Image Generator with Python & Flask (Full Beginner Guide) Part 2 of 2. скачать в хорошем качестве

Build Your First AI App: Image Generator with Python & Flask (Full Beginner Guide) Part 2 of 2.

If you haven't setup your AI workstation yet, start here:    • AI Development Environment From Scratch | ...   Ready to build your first real AI application? In this fast-paced, 10-minute tutorial, we'll go from a basic setup to a fully functional AI Image Generator that runs on your own computer. You'll learn how to build a web application with Python and Flask, connect to a powerful AI model, and publish your project to GitHub like a professional developer. A Quick Note on APIs: This tutorial uses the Google Gemini API to generate images. While access to some advanced models may require a subscription, the fundamental skills you'll learn here—handling API keys, sending requests, and processing responses—are universal. This is the exact same workflow you would use with other AI providers like OpenAI, Anthropic, or open-source models on Hugging Face. The most valuable lesson in this guide isn't just about building an app; it's about mastering the complete developer workflow. You will experience the entire journey from a blank file to a live, shareable project on your GitHub profile. This is the core skill that separates a hobbyist from a professional, and it's the foundation for building any application you can imagine. You can find the complete code for this project on my GitHub repository here. I just started this page, but we will soon have more applications you will be able to pull from our repository: https://github.com/ai-pulsepage/ai-im... Please view the readme for instructions and full list of commands we ran today. 00:00 - Introduction: What We're Building 01:32 - Part 1: Getting and Securing Your Gemini API Key 03:37 - Part 2: Building the Backend with Python & Flask 07:30 - Part 3: Creating the Frontend with HTML & JavaScript 07:30 - Part 4: Setting Up Your GitHub Account & Repository 08:32 - Part 5: Running the App and Pushing the Final Update 12:32 - Conclusion & Next Steps #AI #Python #Flask #GitHub #LearnToCode #PythonProject #GenerativeAI #googlegemini