Open Interpreter 🖥️ ChatGPT Code Interpreter You Can Run LOCALLY!
Introduction to Open Interpreter
In this section, the speaker introduces Open Interpreter, a code interpreter that allows users to upload files and interact with them in natural language. The speaker explains that Open Interpreter runs locally on the user's computer and supports both ChatGPT and Codelama without any limitations.
Installing Open Interpreter
- To install Open Interpreter, visit the GitHub page for Open Interpreter.
- Follow the instructions provided on the GitHub page to install Open Interpreter on your computer.
Features of Open Interpreter
- With Open Interpreter, users can run code in Python, JavaScript, shell, and more.
- Users can interact with Open Interpreter through a ChatGPT-like interface in their terminal.
- It supports various file types such as photos, videos, PDFs, etc.
- Users can control a Chrome browser for research purposes.
- It allows users to plot visualizations and analyze large datasets.
- Users can also run scripts that change settings on their computer.
Installation Process
In this section, the speaker demonstrates how to install Open Interpreter using Anaconda. They provide step-by-step instructions for installation.
Installing Anaconda (Optional)
- If you don't have Anaconda installed already, download and install it from the official website.
Creating an Environment
- Launch your terminal with Anaconda already installed.
- Use Conda to create a new environment for Open Interpreter by running
conda create -n oi python=3.11.4.
- Activate the newly created environment by running
conda activate oi.
Installing Open Interpreter
- Install Open Interpreter by running
pip install open-interpreterin your terminal.
Using Open Interpreter with GPT4
In this section, the speaker explains how to use Open Interpreter with GPT4. They mention that Open Interpreter also supports Codelama, but they haven't been able to get it working.
Running Open Interpreter
- To run Open Interpreter, simply type
interpreterin your terminal after installation.
- The first time you run it, you will be prompted to enter your OpenAI API key.
- If you don't have an API key, sign up for an OpenAI account and obtain one.
- Enter your API key when prompted by Open Interpreter.
Conclusion
Open Interpreter is a powerful code interpreter that allows users to upload files and interact with them using natural language. It runs locally on the user's computer and supports various programming languages. By following the provided instructions, users can easily install and use Open Interpreter with GPT4 or Codelama.
Finding Files on Your Computer
This section explains how to find out what files are on your computer using the terminal.
How to Find Files
- Open the terminal.
- Use commands in the terminal to search for files on your computer.
Installing Anaconda
This section covers the installation of Anaconda, a popular data science platform.
Installing Anaconda
- Download and install Anaconda.
- Use conda to create an isolated environment for running code.
- Activate the conda environment before running code.
Using Code Llama as a Video Editor
This section discusses using Code Llama as a video editor and its features.
Using Code Llama
- Install Code Llama using pip or conda.
- Code Llama has a feature called "Script to Video" that allows you to create videos from code prompts.
- It is an open-source video editor with easy installation and use.
Generating Scripts with Script to Video
This section explains how to generate scripts using the "Script to Video" feature in Code Llama.
Generating Scripts
- Use the "Script to Video" feature in Code Llama to generate scripts from code prompts.
- The generated script can be used for various purposes, such as creating tutorial videos or sharing code snippets.
Conclusion and Call-to-action
The video concludes with a call-to-action for viewers to provide feedback and suggestions for future videos.
Call-to-action
- Viewers are encouraged to leave comments with their use cases and suggestions for future videos.
- The video creator asks for feedback on the installation process and invites viewers to suggest topics for future videos.
This summary is based on the provided transcript and may not include all the details from the video.