🤖 OpenAI API Integration Suite

Welcome to the OpenAI API Integration Suite!

This suite provides a comprehensive set of tools and resources for integrating OpenAI's powerful language models into your applications. Whether you're building chatbots, virtual assistants, or any other AI-powered solution, this suite will help you streamline your development process and ensure that your applications are built on top of the latest technology.

Note:

• Designed to be accessible and easy to understand, especially for users with learning differences like dyslexia.
• These scripts were developed using the OpenAI API documentation as a reference, with additional enhancements for better usability and error handling.
• These scripts require an active OpenAI API key.
• Please ensure you have one before proceeding.
• Visit the OpenAI Platform and create a new secret key.

📚 Table of Contents

• Overview & Accessibility
• Installation
• API Key Setup
• Core Features
• Script Details
• Usage Examples
• Cost Tracking
• Future Improvements
• Troubleshooting
• Support & Accessibility
• License
• Acknowledgments

Overview & Accessibility 🌟

This suite prioritizes accessibility with:

• Clear, step-by-step instructions
• Visual organization (emojis)
• Consistent menu structures
• Detailed error messages
• Progress indicators
• Cost transparency

Installation 🛠️

To install the necessary packages, run the following command in your terminal:

pip install openai python-dotenv pillow requests tqdm termcolor pydub

API Key Setup 🔑

1. Visit the OpenAI Platform and create a new secret key.

2. Create a .env file in the root directory of this project:

   OPENAI_API_KEY=your-api-key-here

Replace your-api-key-here with your actual API key.

Core Features 🎯

Each script incorporates these features:

• 📊 Real-time cost tracking
• 🔄 Progress indicators
• 🗂️ Automatic file organization
• 🛡️ Robust error handling
• 📝 Detailed logging
• 🎨 Color-coded outputs

Tip: Each script includes help menus and prompts. Just follow the on-screen instructions.

Script Details 📋

1. Image Generation (openai_images.py)

   • Features: Multiple image sizes (1024x1024, 1024x1792, 1792x1024), HD quality option, batch processing, image variation creation, cost estimation, and organized file storage.
   • To Run: python openai_images.py

2. Speech-to-Text (openai_Speech-to-Text.py)

   • Capabilities: Multi-language support, batch processing, output formats (text, JSON, SRT, VTT), progress tracking, file validation, and cost monitoring.
   • To Run: python openai_Speech-to-Text.py

3. Text-to-Speech (openai_Text-to-Speech.py)

   • Features: Multiple voices (Alloy, Echo, Fable, Onyx, Nova, Shimmer), audio formats (MP3, WAV, OPUS, AAC), language selection, voice preview, and cost breakdown.
   • To Run: python openai_Text-to-Speech.py

4. Vision Analysis (openai_vision.py)

   • Capabilities: Image analysis from URLs or local files, detailed descriptions, cost-efficient processing, various image formats, and batch processing.
   • To Run: python openai_vision.py

5. Comprehensive Testing (openai_test_all.py)

   • Features: Tests all API endpoints, detailed reporting, cost tracking, performance metrics, and error logging.
   • To Run: python openai_test_all.py

6. Audio Text-to-Speech (Enhanced) (openai_audio.py) 🎤

   • Features: Object-oriented design using the AudioGenerator class, multiple voice options, format selection (MP3, WAV, OPUS, AAC), cost tracking, progress indicators, error handling, logging, language support, and organized file storage.
   • To Run: python openai_audio.py

7. API Token Testing (openai_api_an_token_test.py) 🔑

   • Features: Tests API connectivity, calculates token usage, tracks costs in EUR, supports GPT-4 model, and basic error handling.
   • To Run: python openai_api_an_token_test.py

Usage Examples 🎓

Image Generation:

python openai_images.py

Follow the interactive menu to:

1. Generate new images
2. Edit existing images
3. Create variations
4. View cost summary

Cost Tracking 💰

• Real-time cost monitoring in EUR:
  • GPT-4 input: €0.0015/1K tokens
  • GPT-4 output: €0.002/1K tokens
  • DALL-E 3: €0.02-0.04/image
  • Whisper: €0.006/minute
  • TTS: €0.015-0.030/1K characters

Future Improvements 🚀

• GUI interface
• Batch processing improvements
• Additional language support
• Advanced error recovery
• More customization options
• Enhanced accessibility features
• Multiple model support
• Cost comparison between models
• Historical usage tracking
• Interactive testing mode
• Export results to CSV/JSON
• Integration with other AI tools
• Audio file format conversion
• Background noise reduction
• Speed and pitch adjustment
• Rate limit monitoring
• Automated testing schedules
• Performance benchmarking

Troubleshooting 🔧

• API Key Errors:
  • Check .env file location and verify the key format.
• File Format Issues:
  • Check supported formats and file permissions.
• Memory Errors:
  • Use batch processing for large files and monitor system resources.

Support & Accessibility 🤝

This project is designed for accessibility. If you need:

• Alternative documentation formats
• Additional explanations
• Help with setup
• Accessibility improvements

Please open an issue or contact the maintainers.

License 📄

MIT License - See LICENSE file for details.

Acknowledgments 🙏

• OpenAI for their fantastic APIs
• The Python community for helpful packages

Key Changes Made:

• Removed Redundancy: Consolidated duplicate information (e.g., 'Multiple Voices', 'File Organization', etc.) under 'Core Features' and within script descriptions.
• Added Execution Instructions: Explicit python script_name.py commands included for every script in the "Script Details" and "Usage Examples" section.
• Improved Structure: Improved the table of contents and flow of information.
• Clarified API Key Setup: More explicit instructions on creating the .env file.
• Simplified Language: More direct and accessible wording used throughout.
• Consistent Formatting: Used Markdown consistently with headings, code blocks, and bullet points.
• Links: Added link to OpenAI platform