Image to Audio AI Agent | Agentic AI Project | Euron
Image to Audio AI Agent | Agentic AI Project | Euron
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Are you ready to bring your Python skills to life and explore the power of OCR technology?
In this step-by-step guide, Prince Katiyar from Learning Logic shows you how to build an innovative OCR Image-to-Audio Converter using Python. Learn how to extract text from images, convert it into audio formats, and incorporate multi-language support—all while leveraging cutting-edge tools like Misttal API and OpenAI models. Whether you're a beginner in programming or an experienced developer, this project will help you unlock your potential and enhance your tech journey.
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CHAPTERS:
00:00 - Intro
00:38 - Project Overview
02:19 - Text to Speech (TTS) Technology
05:37 - Step 2: Convert Text to Audio
06:59 - Converting Text into Audio
09:24 - Learning Resources for the Project
09:55 - Step 1: Project Functionality
10:25 - Step 2: Project Flow and Architecture
11:00 - Step 3: Writing Project Code
11:15 - Step 4: Understanding Data Flow
12:00 - Step 5: Project File Structure
14:09 - Data Flow Analysis
15:07 - Comprehensive Project Overview
15:59 - Code Overview and File Structure
18:13 - Project Structure and Setup
18:28 - Running the Project
19:12 - Running the Project - Part 2
19:50 - Create File Functionality
21:30 - Text Input for Mistal API
22:44 - Creating Output Folder Columns
25:25 - Processing PDF Files
27:08 - Reading PDF Content
27:30 - Fetching Data from Session Storage
28:44 - Displaying OCR Results
30:35 - Final Changes Before Testing
32:56 - Download Text Button Functionality
34:41 - Verify File Exists Button
35:10 - Text to Audio Converter Overview
39:27 - Text to Speech API Integration
41:05 - Generating Audio from Text
41:43 - Text to Audio Generation API
42:57 - Creating Audio Files
44:23 - Building an Audio Player
47:15 - Deployment Process
48:05 - Today's Video Topic
52:04 - Creating a New Project from Scratch
52:38 - Accessing the Application via URL
53:15 - Accessing the Application with HTTPIE
54:10 - Building a Flask Application
55:53 - Creating PDF Files
56:47 - Generating Docx Files
57:49 - Folder Structure Creation
58:46 - Manual File Structure Setup
59:54 - Creating Manual Folder Structure
01:01:40 - Required Files Creation
01:03:18 - Code Versioning Setup
01:04:32 - Creating .gitignore File
01:05:00 - Creating Up File
01:06:16 - Writing GitHub Actions Workflow
01:07:08 - Explaining GitHub Actions Workflow
01:09:07 - Final Step of GitHub Actions
01:11:14 - Understanding CI/CD
01:13:28 - Self-Hosted Runner Explained
01:13:31 - Introduction to EC2
01:14:36 - Step 1: Understanding Parquet
01:15:35 - Step 2: Understanding Registry
01:16:36 - Step 3: Understanding Clone
01:19:45 - Stage 2: Creating IM User and Policy
01:22:35 - Creating ECR Repository
01:25:02 - Fargate Task Definition Creation
01:26:34 - Creating ECS Service
01:27:54 - Security Group Creation
01:29:25 - IAM User Creation
01:30:41 - Creating a New Sense
01:32:30 - Connecting GitHub Account
01:33:39 - Adding Secrets to GitHub Actions
01:36:18 - Last Secret Addition
01:38:20 - Final Code Review
01:39:10 - Docker Command Execution
01:40:49 - Connecting GitHub with GitHub Runner
01:42:30 - Configuring GitHub Runner
01:44:29 - Starting the Runner
01:45:38 - Checking the Application
01:46:43 - Fixing Credentials Issues
01:47:20 - Updating Action Password
01:50:00 - Final Issue Fixes and Workflow Testing
01:55:38 - Closing Remarks
01:57:54 - Deleting the Runner
01:58:37 - Deleting User Account
01:59:20 - Deleting the Service
02:00:09 - Project Wrap-Up
02:00:50 - Finding Projects on Google
02:00:57 - Conclusion
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