🖥️ Versatile Code Assistant

Versatile Code Assistant is an AI-powered tool that helps you generate code and answer programming-related questions. It supports multiple programming languages and allows users to switch between Code Generation and Conversation modes.

This project leverages the Groq API for generating code based on user inputs. The application is built using Streamlit, allowing it to be run as a web application.

🌟 Features

• Generate code in different programming languages (Python, C, C++).
• Choose from various versions of languages like Python, GCC, etc.
• Engage in conversation mode to ask programming-related questions.
• Clean and responsive user interface with both text input and chat-based interactions.
• Streamlit-powered web app with Groq API integration.

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🛠️ Technologies Used

• Python: Core language for the app.
• Streamlit: Web framework for building the user interface.
• Groq API: Used to handle AI-based code generation and conversation.
• dotenv: For managing environment variables securely.

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🚀 How to Run the Project

Prerequisites

• Python 3.7+
• Groq API Key (You'll need to sign up and get your API key)
• Git

Step-by-Step Instructions

1. Clone the Repository

   Open your terminal and clone the repository:

   git clone https://github.com/your-username/AI-Code-Assistant.git
   

2. Navigate to the project directory:

   cd app.py

3. Install requirements:

   pip install -r requirements.txt

4. Run the app:

   streamlit run app.py

This command will launch the app locally in your default web browser. The app will be accessible at http://localhost:8501.

📖 Usage

1. Code Generation Mode

• Step 1: Choose Code Generation mode from the mode selector.
• Step 2: Enter a specific prompt describing the code you need.
• Step 3: Select the desired programming language (e.g., Python, C, C++).
• Step 4: Choose the language version.
• Step 5: Click Generate Response and wait for the code to be generated.

2. Conversation Mode

• Step 1: Select Conversation mode from the mode selector.
• Step 2: Enter a question or prompt about programming.
• Step 3: Click Generate Response to get answers related to your question.
• Step 4: Alternatively, you can use the chat input at the bottom for a more conversational experience.

💻 Example Prompts

Here are some examples of prompts you can use:

Code Generation Mode:

• Python Prompt: "Generate Python code to read a CSV file and calculate the sum of a column."
• C++ Prompt: "Write C++ code that implements a binary search algorithm."

Conversation Mode:

• "What is the difference between a list and a tuple in Python?"
• "How does memory management work in C++?"

🛡️ Environment Variables

The application uses the following environment variables, managed securely through the .env file:

• GROQ_API_KEY: Your Groq API key for accessing the code generation and conversation services.

Make sure to never expose your API key in the source code or public repositories. Use the .env file and ensure it's listed in .gitignore.

🎯 Future Enhancements

• Support for more programming languages, such as Java, JavaScript, Ruby, Go, and more.
• Add user authentication (e.g., using OAuth) to allow users to save their preferences, history, and favorite code snippets.
• Integrate code formatting and linting features to ensure that generated code adheres to style guides and best practices.
• Provide a sandbox environment to run the generated code directly within the app, allowing users to see the output immediately.
• Create a library of commonly used code snippets that users can easily access and insert into their code generation prompts.
• Add a toggle for dark mode or customizable themes to improve user experience.
• Automatically generate documentation for the code snippets based on comments and code structure, making it easier for users to understand the generated code.
• Develop plugins for popular IDEs (like VSCode, PyCharm) that allow users to access the assistant's features directly within their coding environment.
• Allow users to create and save custom prompt templates for common tasks, making it easier to generate code.

🤝 Contributing

Contributions are welcome! If you'd like to contribute, feel free to open a pull request or issue.

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/feature-name).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/feature-name).
5. Open a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🌟 Acknowledgements

This project is powered by the Groq API and Streamlit framework.

📧 Contact

For any queries, feel free to reach out to me:

GitHub: your-github-saoud30 Email: your-sarimansari30.com