Java-based toolkit for leveraging OpenAI's advanced vision capabilities, providing seamless image analysis and comparison through OpenAI's API. Designed for developers seeking to integrate AI-powered image processing into their applications.
- 🖼️ Utilizes OpenAI's Vision API for image comparison tasks.
- 🛠️ Includes setup for secure API key handling.
- 📝 Provides well-commented code to explain the integration process.
- 🧪 Comes with a JUnit test case to validate the API's response.
- ☕ Java JDK 8 or newer is required.
- 🔑 You will need a valid OpenAI API key set up as an environment variable.
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📥 Clone this repository: git clone https://github.com/yourusername/OpenAI-Vision-API-Java-Request.git
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📂 Navigate to the cloned directory: cd OpenAI-Vision-API-Java-Integration
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🔓 Set your OpenAI API key as an environment variable named OPENAI_API_KEY.
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🖥️ Compile and run the JUnit test to check the integration.
📖 Usage After setting up your environment variable for the API key, you can run the OpenAIRequesterVisionTest to send an image comparison request to the OpenAI API and get the results.
Feel free to modify the image URLs and the text prompt within the test to experiment with different images and comparison scenarios.
🤝 Contributing
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!
Fork the Project Create your Feature Branch (git checkout -b feature/AmazingFeature) Commit your Changes (git commit -m 'Add some AmazingFeature') Push to the Branch (git push origin feature/AmazingFeature) Open a Pull Request
Created with ❤️ by Pablo González