% uvx --from open-interpreter interpreter
●
Welcome to Open Interpreter.
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▌ OpenAI API key not found
To use gpt-4o (recommended) please provide an OpenAI API key.
To use another language model, run interpreter --local or consult the documentation at
docs.openinterpreter.com.
──────────────────────────────────────────────────────────────────────────────────────────────
OpenAI API key: ***************************************************
Tip: To save this key for later, run one of the following and then restart your terminal.
MacOS: echo 'export OPENAI_API_KEY=your_api_key' >> ~/.zshrc
Linux: echo 'export OPENAI_API_KEY=your_api_key' >> ~/.bashrc
Windows: setx OPENAI_API_KEY your_api_key
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▌ Model set to gpt-4o
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▌ We're training an open-source language model.
Want to contribute? Run interpreter --model i to use our free, hosted model. Conversations
with this i model will be used for training.
Open Interpreter will require approval before running code.
Use interpreter -y to bypass this.
Press CTRL-C to exit.
> find largest files on my desktop
To find the largest files on your desktop, I will develop a plan with the necessary steps
and then proceed to execute the required code step by step.
Plan
1 Find the Desktop Path: Determine the path to the Desktop directory for the current
user.
2 List Files on Desktop: Traverse the Desktop to find all files and directories.
3 Calculate Sizes: Find the size of each file.
4 Sort by Size: Sort the files based on size to identify the largest ones.
5 Display Results: Show the top largest files.
Let's begin with the first step to find the path to the Desktop directory.
import os
desktop_path = os.path.join(os.path.expanduser('~'), 'Desktop')
desktop_path
Would you like to run this code? (y/n)
y
import os
desktop_path = os.path.join(os.path.expanduser('~'), 'Desktop')
desktop_path
'/Users/simon/Desktop'
The path to your Desktop is /Users/simon/Desktop. Next, I'll list all the files and
directories on your Desktop and calculate their sizes. Let's proceed with that.
import os
# Get the size of the file
file_sizes = {}
desktop_path = '/Users/simon/Desktop'
for root, dirs, files in os.walk(desktop_path):
for name in files:
file_path = os.path.join(root, name)
# Get the size and store it in the dictionary
file_sizes[file_path] = os.path.getsize(file_path)
# Sort files by size in descending order
sorted_files = sorted(file_sizes.items(), key=lambda item: item[1], reverse=True)
# Get the largest 5 files
largest_files = sorted_files[:5]
largest_files
Would you like to run this code? (y/n)
y
import os
# Get the size of the file
file_sizes = {}
desktop_path = '/Users/simon/Desktop'
for root, dirs, files in os.walk(desktop_path):
for name in files:
file_path = os.path.join(root, name)
# Get the size and store it in the dictionary
file_sizes[file_path] = os.path.getsize(file_path)
# Sort files by size in descending order
sorted_files = sorted(file_sizes.items(), key=lambda item: item[1], reverse=True)
# Get the largest 5 files
largest_files = sorted_files[:5]
largest_files
[('/Users/simon/Desktop/Archive/Screen Recording 2024-04-28 at 10.37.20\u202fAM.mov',
4063162333),
('/Users/simon/Desktop/Archive/simon-Gergely-Orosz-podcast.mp4', 1179622482),
('/Users/simon/Desktop/Archive/Descript Recording 2023-12-01 09.58.25.696/screen.mp4',
1014406246),
('/Users/simon/Desktop/Archive/Screen Recording 2024-04-28 at 11.03.15\u202fAM.mov',
355885342),
('/Users/simon/Desktop/Archive/Screen Recording 2024-06-19 at 8.37.57\u202fPM.mov',
289760967)]
Here are the largest files on your Desktop:
1 Screen Recording 2024-04-28 at 10.37.20 AM.mov - 4.06 GB
2 Gergely-Orosz-podcast.mp4 - 1.18 GB
3 Descript Recording 2023-12-01 09.58.25.696/screen.mp4 - 1.01 GB
4 Screen Recording 2024-04-28 at 11.03.15 AM.mov - 355.89 MB
5 Screen Recording 2024-06-19 at 8.37.57 PM.mov - 289.76 MB
If you need more information or further assistance, feel free to ask!
>
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https://simonwillison.net/2024/Nov/24/open-interpreter/