Скачать или смотреть AI Powered Creative Story Generator | Agentic AI Project | Euron

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Discover how to "Master AI Story Creation" with this step-by-step guide!

Perfect for beginners and seasoned coders alike, this comprehensive video takes you through building a dynamic AI-powered story generator. You'll learn the fundamentals of Python, FastAPI, OpenAI GPT models, Streamlit, and AWS EC2 deployment—all in one engaging video!

🔍 What You'll Learn:
How to use Python and FastAPI for backend development.
Integrating OpenAI's GPT models for creative story generation.
Building an interactive web interface with Streamlit.
Deploying your project to the cloud using AWS EC2.
Best practices for managing dependencies and environments.

Why Watch This Video?
Perfect for beginners looking to kickstart their programming journey.
A practical, hands-on project to solidify your Python fundamentals.
Learn real-world applications of AI in a user-friendly way.
Step-by-step guidance tailored for easy understanding.

Who Should Watch?
Aspiring developers eager to explore AI-powered applications.
Python beginners seeking a structured, practical project.
Anyone passionate about learning how to build and deploy web applications.

Get Started Today:
Hit play and code along as we guide you through every step of this exciting project. Don't forget to download the resources and follow along!

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CHAPTERS:
00:00 - Project Overview
01:42 - Setting up Python Environment
12:02 - Creating FastAPI Entry Point
14:20 - FastAPI Routes Implementation
16:36 - StoryRequest Model Creation
20:59 - Developing main.py
22:44 - FastAPI Application Setup
24:08 - Serving Static Files
26:20 - Root Route Creation
27:33 - Running FastAPI Application
29:10 - Testing FastAPI Application
33:15 - Story Service Development
35:32 - Loading Environment Variables
37:51 - Generating AI Story
46:26 - Text to Speech Integration
1:01:10 - Creating AWS Account
1:02:03 - Setting Up Root User
1:03:59 - AWS Account Creation Process
1:04:15 - AWS Account Setup Overview
1:12:43 - Creating EC2 Instance
1:16:10 - SSH Access to EC2 Instance
1:18:05 - Updating System Packages
1:20:25 - Installing Python 3.9
1:21:40 - Setting Python 3.9 as Default
1:23:15 - Pushing Project to GitHub
1:28:15 - Creating and Activating Virtual Environment
1:28:50 - Installing Project Dependencies
1:32:10 - Running FastAPI on EC2 Instance
1:33:40 - Streamlit Application Execution
1:37:00 - Final Thoughts and Conclusion

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