open-interpreter 0.0.228

Ask GPT-4 to run code locally.

Open Interpreter

Open Interpreter is a lightweight, open-source implementation of OpenAI's Code Interpreter.

interpreter.chat("Add subtitles to video.mp4 on my Desktop.")

>>> On it. First, I'll check if any speech-to-text libraries are installed...

_{Illustration created by Open Interpreter. Inspired by Ruby Chen's GPT-4 artwork.}

Demo Notebook

Features

• Generated code runs locally.
• Uses pip and apt-get to extend itself.
• Interactive, streaming chat inside your terminal.

Quick Start

pip install open-interpreter

import interpreter
interpreter.api_key = "<your_openai_api_key>"

# Start an interactive chat in your terminal
interpreter.chat()

Use Cases

Open Interpreter acts as a seasoned programmer that can execute code snippets to accomplish tasks.

1. Add subtitles to all videos in a folder.
2. Blur all faces in a photo or video.
3. Edit a large batch of documents.

...

Comparison to ChatGPT's Code Interpreter

OpenAI's recent release of Code Interpreter with GPT-4 presents a fantastic opportunity to accomplish real-world tasks with ChatGPT.

However, OpenAI's service is hosted, closed-source, and heavily restricted:

• No internet access.
• Limited set of pre-installed packages.
• 100 MB maximum upload, 120.0 second runtime limit.
• State is cleared (along with any generated files or links) when the environment dies.

---

Open Interpreter overcomes these limitations by running in a stateful Jupyter notebook on your local environment. It has full access to the internet, isn't restricted by time or file size, and can utilize any package or library.

Open Interpreter combines the power of GPT-4's Code Interpreter with the flexibility of your local development environment.

Commands

Terminal Chat

Running .chat() will start an interactive session in your terminal:

interpreter.chat()

Python Chat

For more precise control, you can pass messages directly to .chat(message):

interpreter.chat("Add subtitles to all videos in /videos.")

# ... Streams output to your terminal, completes task ...

interpreter.chat("These look great but can you make the subtitles bigger?")

# ...

Start a New Chat

By default, Open Interpreter remembers conversation history. If you want to start fresh, you can reset it:

interpreter.reset()

Then start a chat as described above.

Save and Restore Chats

interpreter.chat() returns a List of messages, which can be restored with interpreter.load(messages):

interpreter.load(chat)

Customize System Message

You can inspect and configure Open Interpreter's system message to extend its functionality, modify permissions, or give it more context.

interpreter.system_message += """
Run shell commands with -y so the user doesn't have to confirm them.
"""
print(interpreter.system_message)

How Does it Work?

Open Interpreter equips a function-calling GPT-4 with the exec() function.

We then stream the model's messages, code, and your system's outputs to the terminal as Markdown.

Only the last model_max_tokens of the conversation are shown to the model, so conversations can be any length, but older messages may be forgotten.

Contributing

As an open-source project, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

License

Open Interpreter is licensed under the MIT License. You are permitted to use, copy, modify, distribute, sublicense and sell copies of the software.

Note: This software is not affiliated with OpenAI.