This project demonstrates how to use the OpenAI API to create quick and effective applications. These applications are designed to be easy to implement, use, and build upon. The project is inspired by hands-on experimentation with Python, insights from various tech meetups, and relevant coursework. It reflects a deep enthusiasm for Artificial Intelligence (AI) and an earnest desire to explore its vast potential and applications.
This project is driven by two main goals:
- Passion for AI: Engaging deeply with the AI landscape to discover its capabilities and transition theoretical knowledge into practical implementations.
- Expanding Horizons: Enhancing understanding of the OpenAI API's diverse applications and demonstrating its effectiveness in addressing real-world challenges.
- Interactive AI Demonstrations: Showcases real-time interactions with AI models, providing immediate insights and responses.
- Scalable Integration Examples: Demonstrates how to integrate the OpenAI API into existing systems or workflows for enhanced functionality.
- Customization Capabilities: Allows users to tailor AI responses for specific applications, making it a versatile tool for developers.
To get started with this project, follow these steps:
git clone https://github.com/yourusername/OpenAI_API_Usage.git
cd OpenAI_API_Usage
pip install -r requirements.txtRun the application using the following command:
python your_script.py --example "Type your query here"Replace "Type your query here" with your specific input to interact with the AI.
This part of the project is an AI-powered code assistant using the OpenAI API. It provides code completions, suggestions, explanations, and debugging assistance to enhance the coding experience.
- Code Completion and Suggestions: Provide real-time code completions based on the current context.
- Explanations and Documentation: Offer explanations for various coding concepts and provide links to relevant documentation or tutorials.
- Debugging Assistance: Identify common coding errors and suggest fixes, and offer explanations for error messages.
- Integration with Code Editors: Integrate with popular code editors like Visual Studio Code (VS Code) for a seamless experience.
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Clone the repository:
git clone https://github.com/yourusername/AI_Code_Assistant.git cd AI_Code_Assistant/ai_code_assistant -
Set up the virtual environment:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
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Install required libraries:
pip install -r requirements.txt
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Add your OpenAI API key to
config.py. -
Run the Flask application:
python app.py
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Navigate to the
vscode-extensiondirectory:cd vscode-extension -
Install dependencies and run the extension:
npm install code . -
Press
F5to start debugging the extension.
This project is a personal learning endeavor aimed at exploring the potential of the OpenAI API and enhancing practical AI skills. I am excited about the possibilities and would love to collaborate with others who share an interest in AI and Python development.
I welcome contributions and collaboration! Whether you're interested in adding new features, fixing bugs, improving documentation, or sharing ideas, your input is valuable. Here’s how you can get involved:
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Fork the Repository:
- Fork this repository to your own GitHub account.
- Clone your forked repository to your local machine using:
git clone https://github.com/yourusername/OpenAI_API_Usage.git
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Create a Branch:
- Create a new branch for your changes:
git checkout -b feature-or-bugfix-name
- Create a new branch for your changes:
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Make Changes:
- Make your changes or add new features in your branch.
- Ensure your code follows the project's coding standards and is well-documented.
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Test Your Changes:
- Test your changes thoroughly to ensure they work as expected and do not break existing functionality.
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Submit a Pull Request:
- Push your changes to your forked repository:
git push origin feature-or-bugfix-name
- Open a pull request in the main repository, providing a clear description of your changes and the motivation behind them.
- Push your changes to your forked repository:
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Review Process:
- Your pull request will be reviewed, and feedback may be provided.
- Make any necessary updates based on the feedback and resubmit if required.
Please note that this project adheres to a Code of Conduct to ensure a welcoming and inclusive environment for all contributors. By participating, you are expected to uphold this code.
If you’re new to the project, here are a few ways you can start contributing:
- Documentation: Help improve the documentation, including the README file, tutorials, and examples.
- Bug Reports: Identify and report bugs. If you find any issues, please open an issue with a detailed description and steps to reproduce.
- Feature Requests: Suggest new features or enhancements by opening an issue with your ideas.
- Code Contributions: Pick an open issue and start working on it. Feel free to ask questions if you need any guidance.
This project is released under the MIT License.
Special thanks to:
- Myself, for sticking with the task.
- The requirments have changed.