OpenInterpreter: An interesting AI tool for running ChatGPT-like code interpreters locally

Rate this post

After Auto-GPT and the Code Interpreter API, a new open-source project is making waves in the AI ​​community. The project is called OpenInterpreter and is developed by Killian Lucas and a team of open-source contributors. It combines ChatGPT plugin functionality, code interpreters, and something like Windows Copilot to make AI a ubiquitous solution on any platform. You can use the Open Interpreter to do anything you can think of. You can interact with the system at the OS level, files, folders, programs, internet, basically everything from a friendly terminal interface. So if you are interested, learn how to set up and use Open Interpreter locally on your PC.

Things to keep in mind before you proceed

1. To take full advantage of Open Interpreter, you must have access to the GPT-4 API key. The GPT-3.5 model just doesn’t cut it and throws tons of errors when running the code. Yes, running the GPT-4 API is expensive, but it opens up many new utilities on your system.
2. I advise you not to run the models locally unless you have a good understanding of the building process. The project is currently buggy, especially for local models on Windows (at least for us). Also, you need beefy hardware specs to get better performance from larger models.

Set up the Python environment

1. First, you need to install Python and Pip on your PC, Mac, or Linux computer. Follow the linked guide For detailed instructions.

2. Next, open Terminal or CMD and run the following command Update Pip On the latest version.

python -m pip install -U pip

3. Now, run this command Install Open Interpreter on your machine.

pip install open-interpreter

Set up an open interpreter on your PC

1. Once Open Interpreter is installed, execute one of the following commands Based on your preference.

  • for tThis GPT-4 model. Must have access to GPT-4 API from OpenAI.
  • for GPT-3.5 model. Available to free users.
interpreter --fast
  • run Code-llama model Free for local use. You need good resources on your computer.
interpreter --local

2. I’m going with the OpenAI GPT-4 model, but if you don’t have access to its API, you can choose GPT-3.5. Now, go ahead and Get the API key From OpenAI’s website. Click on “Generate New Secret Key” and copy the key.

3. Paste the API key in Terminal and press Enter. By the way, you can always press “Ctrl + C” to exit Open Interpreter.

How to use Open Interpreter on your PC

1. To start using OpenInterpreter, I asked him to set mine up System to dark mode And it worked. Since I’m using Windows, it created a registry key and changed the theme seamlessly.

2. Next, I asked to create a simple A web-based timer app. And he created an app in no time. This can be a great way to make money using the power of AI.

3. Next, I asked Open Interpreter Summarize a local text document And it worked well.

4. I asked that too Convert PDF file to DOCX And worked flawlessly.

5. Next, he quickly pulled data from the Internet and displayed the stock prices of Apple and Microsoft in a visual chart. You can try many such cases with Open Interpreter, which is quite interesting.

Nifty tips for using OpenInterpreter locally

1. Always open an interpreter Asking for your permission Before running the code. After a point, it can become annoying. If you want to avoid that, you can start Open Interpreter in the following way.

interpreter -y

2. Next, you can do forever Set the OpenAI API key In the command-line interface in the following fashion. This will save you a lot of time. changeyour_api_key“With the real key.

setx OPENAI_API_KEY your_api_key
export OPENAI_API_KEY=your_api_key

3. If you want Use a different model locally, you can define it like this. The model must be hosted on Hugging Face and the repo id should be mentioned as below. You can find the best open-source AI models in our linked article.

interpreter --model tiiuae/falcon-180B

If you find the project too complicated or buggy, check out our list of the best AI coding tools. These tools allow you to have the best coding experience, be it your favorite IDE or a simple code editor.

Leave a Comment