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Open Interpreter

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Open Interpreter is a project that allows language models to run code on your computer, providing a natural-language interface for various tasks such as photo and video editing, controlling a browser, and data analysis


  • πŸš€ Open Interpreter Project: A new way to use computers, allowing LLMs to run code on your computer to complete tasks.
  • πŸ’» Free Code Interpreter: Open Interpreter is embracing the future by providing a free code interpreter for your computer.
  • πŸ“Š Unleashing the Power of OpenAI’s Code Interpreter: OpenAI’s Code Interpreter is changing the future of data analysis, unleashing new possibilities.
  • πŸ’‘ Code Llama: An AI Tool for Coding: Code Llama, a specialized version of Llama 2, is a state-of-the-art, free AI model for generating and discussing code.
  • βš™οΈ Enhanced Coding Capabilities: Code Llama features enhanced coding capabilities, making it better at understanding and generating code from both code and natural language prompts.


  • πŸ’» Open Interpreter: Open Interpreter is a new way to use computers that lets LLMs run code on your computer to complete tasks. It executes multiple languages (Python, Shell, HTML/CSS, Node JS) then sends the output back to the language model.
  • πŸ“š Documentation: Open Interpreter has a documentation section on its website that provides information on how to use the tool.
  • πŸ€– AI tasks: Open Interpreter can be used for tasks such as cutting, translating, and subtitling YouTube clips, converting images into PNGs for website display, and creating audiobooks from websites.
  • πŸ“ Run code without confirmation: To run open-interpreter without the need to confirm each code snippet, use the command “interpreter -y”. The -y flag allows the code to run without manual confirmation at each step.
  • 🌐 Local interpretation: Open Interpreter can be run locally using Code Lama for local interpretation. The –local flag tells open-interpreter to use Code Lama for interpreting the code. This is useful if you want to run the code on your local machine instead of using OpenAI API.

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