Open Interface

Control Your Computer Using LLMs

Open Interface

• Self-drives your computer by sending your requests to an LLM backend (GPT-4o, Gemini, etc) to figure out the required steps.
• Automatically executes these steps by simulating keyboard and mouse input.
• Course-corrects by sending the LLM backend updated screenshots of the progress as needed.

Demo 💻

"Solve Today's Wordle"

clipped, 2x

More Demos

• "Make me a meal plan in Google Docs"
• "Write a Web App"

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Install 💽

MacOS

• Download the MacOS binary from the latest release.
• Unzip the file and move Open Interface to the Applications Folder.
  
  

Apple Silicon M-Series Macs

• Open Interface will ask you for Accessibility access to operate your keyboard and mouse for you, and Screen Recording access to take screenshots to assess its progress.
  
• In case it doesn't, manually add these permission via System Settings -> Privacy and Security
  
  

Intel Macs

• Launch the app from the Applications folder.
  You might face the standard Mac "Open Interface cannot be opened" error.
  
  
  In that case, press "Cancel".
  Then go to System Preferences -> Security and Privacy -> Open Anyway.
  
     


• Open Interface will also need Accessibility access to operate your keyboard and mouse for you, and Screen Recording access to take screenshots to assess its progress.
  
  
  

• Lastly, checkout the Setup section to connect Open Interface to LLMs (OpenAI GPT-4V)

Linux

• Linux binary has been tested on Ubuntu 20.04 so far.
• Download the Linux zip file from the latest release.
• Extract the executable and checkout the Setup section to connect Open Interface to LLMs, such as OpenAI GPT-4V.

Windows

• Windows binary has been tested on Windows 10.
• Download the Windows zip file from the latest release.
• Unzip the folder, move the exe to the desired location, double click to open, and voila.
• Checkout the Setup section to connect Open Interface to LLMs (OpenAI GPT-4V)

Run as a Script

• Install Python 3.12 or newer.
• Clone the repo git clone https://github.com/AmberSahdev/Open-Interface.git
• Enter the directory cd Open-Interface
• Optionally use a Python virtual environment
  • Note: pyenv handles tkinter installation weirdly so you may have to debug for your own system yourself.
  • pyenv local 3.12.2
  • python -m venv .venv
  • source .venv/bin/activate
• Install dependencies pip install -r requirements.txt
• Run the app using python app/app.py

Setup 🛠️

Set up the OpenAI API key

• Get your OpenAI API key

  • Open Interface needs access to GPT-4o to perform user requests. GPT-4o keys can be downloaded from your OpenAI account at platform.openai.com/settings/organization/api-keys.
  • Follow the steps here to add balance to your OpenAI account. To unlock GPT-4o a minimum payment of $5 is needed.
  • More info

• Save the API key in Open Interface settings

  • In Open Interface, go to the Settings menu on the top right and enter the key you received from OpenAI into the text field like so:
    
    
  
  
  

• After setting the API key for the first time you'll need to restart the app.

Set up the Google Gemini API key

• Go to Settings -> Advanced Settings and select the Gemini model you wish to use.
• Get your Google Gemini API key from https://aistudio.google.com/app/apikey.
• Save the API key in Open Interface settings.
• Save the settings and restart the app.

Optional: Setup a Custom LLM

• Open Interface supports using other OpenAI API style LLMs (such as Llava) as a backend and can be configured easily in the Advanced Settings window.
• Enter the custom base url and model name in the Advanced Settings window and the API key in the Settings window as needed.
• NOTE - If you're using Llama:
  • You may need to enter a random string like "xxx" in the API key input box.
  • You may need to append /v1/ to the base URL.
    
    
    
• If your LLM does not support an OpenAI style API, you can use a library like this to convert it to one.
• You will need to restart the app after these changes.

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Stuff It’s Error-Prone At, For Now 😬

• Accurate spatial-reasoning and hence clicking buttons.
• Keeping track of itself in tabular contexts, like Excel and Google Sheets, for similar reasons as stated above.
• Navigating complex GUI-rich applications like Counter-Strike, Spotify, Garage Band, etc due to heavy reliance on cursor actions.

The Future 🔮

(with better models trained on video walkthroughs like Youtube tutorials)

• "Create a couple of bass samples for me in Garage Band for my latest project."
• "Read this design document for a new feature, edit the code on Github, and submit it for review."
• "Find my friends' music taste from Spotify and create a party playlist for tonight's event."
• "Take the pictures from my Tahoe trip and make a White Lotus type montage in iMovie."

Notes 📝

• Cost Estimation: $0.0005 - $0.002 per LLM request depending on the model used.
  (User requests can require between two to a few dozen LLM backend calls depending on the request's complexity.)
• You can interrupt the app anytime by pressing the Stop button, or by dragging your cursor to any of the screen corners.
• Open Interface can only see your primary display when using multiple monitors. Therefore, if the cursor/focus is on a secondary screen, it might keep retrying the same actions as it is unable to see its progress.

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System Diagram 🖼️

+----------------------------------------------------+
| App                                                |
|                                                    |
|    +-------+                                       |
|    |  GUI  |                                       |
|    +-------+                                       |
|        ^                                           |
|        |                                           |
|        v                                           |
|  +-----------+  (Screenshot + Goal)  +-----------+ |
|  |           | --------------------> |           | |
|  |    Core   |                       |    LLM    | |
|  |           | <-------------------- |  (GPT-4o) | |
|  +-----------+    (Instructions)     +-----------+ |
|        |                                           |
|        v                                           |
|  +-------------+                                   |
|  | Interpreter |                                   |
|  +-------------+                                   |
|        |                                           |
|        v                                           |
|  +-------------+                                   |
|  |   Executer  |                                   |
|  +-------------+                                   |
+----------------------------------------------------+

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Star History ⭐️

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Links 🔗

• Check out more of my projects at AmberSah.dev.
• Other demos and press kit can be found at MEDIA.md.