AI Experiments with OpenAI in Python and Java

Welcome to the openai-python-java-lab, a repository crafted to showcase various experiments with OpenAI’s powerful AI models using both Python and Java. These experiments delve into modern-day artificial intelligence, exploring its capabilities in text, audio, video, and beyond.

Project Overview

This project is a collection of personal AI-related experiments, conducted in both Python and Java. Each module demonstrates a different facet of AI, harnessing the power of OpenAI's models to explore new frontiers.

Key Modules (Current and Future)

1. Text Summarization:

   • Compress long-form text into concise, meaningful summaries using OpenAI’s GPT models.

2. Audio-to-Text Transcription:

   • Convert speech or audio files to text and extract essential information through automatic summarization.

3. Video-to-Summary:

   • Summarize the content of videos by extracting key themes and moments.

4. Image Captioning:

   • Automatically generate descriptive captions for images using cutting-edge AI models.

5. Question Answering System:

   • Build an AI system that answers questions from provided content, such as documents or transcripts.

6. Sentiment Analysis:

   • Analyze the sentiment of text data, ranging from positive to negative, useful for understanding feedback or reviews.

7. Interactive Chatbots:

   • Develop virtual assistants capable of answering questions or holding conversations.

8. Entity Recognition:

   • Automatically identify key entities like people, places, and organizations in text.

File Structure

openai-python-java-lab/
│
├── openai-text-summary/
│   ├── java/
│   │   ├── pom.xml                    # Maven configuration for Java project
│   │   └── Summarize.java             # Java implementation of AI module
│   └── python/
│       ├── __init__.py                # Python package
│       ├── openai_text_summarizer.py  # Python implementation of AI module
│       └── openai_text_summarizer.md  # Optional documentation for Python implementation
│
├── .gitignore                         # Git ignore file
├── README.md                          # This README file
└── requirements.txt                   # Python dependencies

Getting Started

Prerequisites

For Python Modules:

• Python 3.7+ installed.
• An OpenAI API Key from OpenAI.

For Java Modules:

• Java 8+ installed.
• Maven for dependency management.
• An OpenAI API Key.

Setup

Python Setup

1. Install Dependencies:

   pip install -r requirements.txt

2. Set OpenAI API Key: Set the OpenAI API key as an environment variable:

   • Windows:

     set OPENAI_API_KEY=your-api-key-here

   • Linux/Mac:

     export OPENAI_API_KEY=your-api-key-here

3. Run Python Module:

   python openai-text-summary/python/openai_text_summarizer.py

Java Setup

1. Install Maven Dependencies:

   mvn clean install

2. Set OpenAI API Key: Set the OpenAI API key in your environment variables.

3. Run Java Module:

   mvn exec:java -Dexec.mainClass="com.yourcompany.Summarize"

Future Directions and Modules

This repository will continue to evolve, with plans to add more AI experiments in the following areas:

1. Audio-to-Text with Summarization
2. Video Summarization
3. Sentiment Analysis for Social Media
4. Interactive Chatbots
5. Image Captioning
6. Text Classification and Entity Extraction

License

This project beareth no specific license, as the contents herein are but experimental musings, subject to change and revision at the whims of their creator.