🔍 Code Opus Interpreter

Welcome to Code Opus Interpreter! This innovative Python data science platform enables you to leverage Anthropic's Claude alongside a secure sandbox to dynamically generate and execute Python code. With the combination of Claude and the Code Interpreter API by e2b, we provide a seamless, interactive environment that streamlines your coding workflow.

The script and this README were entirely crafted by claude-opus.

Key Features

1. Claude as Your AI Data Expert

• Integration with Anthropic Claude API: Utilize Claude-3 as your AI-driven data scientist.
• On-the-Fly Code Generation: Produce Python code tailored to your inputs.
• Seamless Execution:
• Run Python code securely.
• Retrieve results, logs, and visualizations.

2. Advanced Code Interpreter API

• Execute Python Code: Operate Python code in a Jupyter notebook-like environment.
• Management of Files and Logs: Store results, error tracebacks, and logs for future reference.
• Integrated Tools:
• execute_python: Run Python code within an isolated cell.

3. Secure and Controlled Execution

• Protected Python Sandbox: Execute Python code in a secure and controlled environment.
• Access to Filesystem:
• Perform read/write operations.
• Download files generated during execution.

Getting Started

Prerequisites

1. Python: Ensure Python 3.8 or higher is installed.
2. API Keys:

• Anthropic Claude API Key.
• E2B Code Interpreter API Key.

Installation Steps

1. Clone the Repository:

git clone https://github.com/sormind/CodeOpus.git
cd CodeOpus
`2. **Install Dependencies**:
 ```bash
 pip install -r requirements.txt`

1.  **Create a `.env` File**: Add your API keys to a `.env` file in the root directory:

  ini

  Copy

  `# .env file
  ANTHROPIC_API_KEY=<your_anthropic_api_key>
  E2B_API_KEY=<your_e2b_api_key>`

### Usage

1.  **Run the Script**:

  bash

  Copy

  `python code_opus.py`

2.  **Interact with Claude**:
  -   Input your queries to request code snippets or data analysis.
  -   Use `quit` to exit the program.

Example Queries
---------------

-   **Data Analysis**: "Provide a summary of this dataset."
-   **Visualization**: "Generate a scatter plot comparing variables X and Y."
-   **Code Generation**: "Create a Python function to compute Fibonacci numbers."

Inner Workings
--------------

### How It Functions

1.  **System Prompt**: Configures Claude as a Python data scientist.
2.  **Tool Definition**:
  -   `execute_python`: Runs Python code in a secure environment.
3.  **Chat Functionality**:
  -   **chat**: Processes user inputs and interprets Claude's responses.
  -   **code_interpret**: Executes Python code and handles results, logs, and files.

Contributing
------------

All data enthusiasts and coding wizards are invited to contribute! You can:

-   Create issues for bug reports or feature requests.
-   Submit pull requests with enhancements.

License
-------

This project is licensed under the MIT License.

Don't hesitate to reach out with inquiries or ideas. Remember, **Claude** and the **Code Interpreter** are here to elevate your data science journey!