Downloads are not working for files created by chatGPT

[Savdog]

I have been using with no issues. I switched to a team account and suddenly all downloads fail and give me this error message below. I have reached out to the non-existent chat and customer service and they offer nothing. I have now cancelled my team account, created a brand new plus account, and I am still getting the same error for pdf’s and spreadsheets. I have tried multiple computers, multiple networks, cleared cache and cookies several times, rebooted, signed in and out, and nothing seems to be working. I am on a Mac and using Chrome.

Also, if you notice, the link used to have the symbol showing the process for making the download and now that symbol is not being created.

Can anyone guide me in the right direction? I would greatly appreciate it and really need to get back on teams.

[_j]

It does not help the diagnosis, but helps explain how easily it breaks, that in the ChatGPT web page, OpenAI is not providing real links in the HTML, and giving you the safety and transparency of a working inspection of the link destination, but instead is using javascript event listener for clicks that use custom attributes of the A tag for the “download”.

Still, I got my file.

Understand that the session life of code interpreter is limited, and chatgpt can also act weird and quickly forget an active session for some reason. So if it instantly doesn’t work, refresh. If it isn’t working 30 minutes or an hour later, you will have to regenerate for all code execution steps that sent to the notebook originally.

1. review that you are using gpt-4o as the basic model that can use code interpreter.
2. review under settings->customization->advanced, that the checkbox for code is enabled (and other distracting tools can be disabled). (a browser refresh may be needed if you had to check the box)

[Savdog]

This is a copy of what is happening when trying to create a spreadsheet.

import pandas as pd

Customer Information

customer_info = {
“Field”: [“Name”, “Address”, “Phone”, “Email”, “Sales Order #”, “Ref #”, “Order Date”],
“Details”: [“Mrs. Alisha Burden”, “228 Liberty Ridge Dr, Elgin, SC 29045”, “803-543-3016”,
“carlton.alisha@yahoo.com”, “WO-00513”, “EST-204168”, “02-12-25”]
}

Work Order Data

work_order_data = [
[“Exterior”, “Soft Wash (2,155 sqft)”, “01:41”, “$94.82”, “”, “”, “”],
[“Dining Room/Foyer”, “Walls (672 sqft)”, “01:41”, “$228.48”, “”, “”, “”],
[“”, “Front Door”, “00:32”, “$32.00”, “”, “”, “”],
[“”, “Window Sills (2)”, “00:05”, “$9.60”, “”, “”, “”],
[“”, “Baseboard (59 ft)”, “00:35”, “$17.70”, “”, “”, “”],
[“Downstairs Hall”, “Walls (327 sqft)”, “00:49”, “$111.18”, “”, “”, “”],
[“”, “Interior Doors and Casings (7 sides)”, “01:24”, “$168.00”, “”, “”, “”],
[“”, “Baseboard (36 ft)”, “00:22”, “$10.80”, “”, “”, “”],
[“Downstairs Front Bedroom”, “Walls (407 sqft)”, “01:01”, “$138.38”, “”, “”, “”],
[“”, “Interior Doors and Casings (1 side)”, “00:12”, “$24.00”, “”, “”, “”],
[“”, “Window Sills (1)”, “00:02”, “$4.80”, “”, “”, “”],
[“”, “Baseboard (44 ft)”, “00:26”, “$13.20”, “”, “”, “”],
[“Hallway Bathroom”, “Walls (176 sqft)”, “00:26”, “$59.84”, “”, “”, “”],
[“”, “Interior Doors and Casings (1 side)”, “00:12”, “$24.00”, “”, “”, “”],
[“”, “Baseboard (19 ft)”, “00:11”, “$5.70”, “”, “”, “”],
[“Rear Bedroom”, “Walls (418 sqft)”, “01:03”, “$142.12”, “”, “”, “”],
[“”, “Interior Doors and Casings (1 side)”, “00:12”, “$24.00”, “”, “”, “”],
[“”, “Window Sills (1)”, “00:02”, “$4.80”, “”, “”, “”],
[“”, “Baseboard (46 ft)”, “00:28”, “$13.80”, “”, “”, “”],
[“Living Room/Kitchen”, “Walls (1,039 sqft)”, “02:36”, “$353.26”, “”, “”, “”],
[“”, “Interior Doors and Casings (2 sides)”, “00:24”, “$48.00”, “”, “”, “”],
[“”, “Cased Opening (2)”, “00:08”, “$19.99”, “”, “”, “”],
[“”, “Window Sills (5)”, “00:12”, “$24.00”, “”, “”, “”],
[“”, “Baseboard (87 ft)”, “00:52”, “$26.10”, “”, “”, “”],
[“Total”, “”, “102:34”, “$7,692.17”, “”, “”, “”]
]

Creating DataFrames

df_customer = pd.DataFrame(customer_info)
df_work_order = pd.DataFrame(work_order_data, columns=[“Area”, “Substrate”, “Estimated Time”, “Payout”, “Employee”, “Actual Hours”, “Hourly Rate Earned”])

File path for saving

file_path = “/mnt/data/Work_Order_00513.xlsx”

Writing to Excel file

with pd.ExcelWriter(file_path, engine=“xlsxwriter”) as writer:
df_customer.to_excel(writer, sheet_name=“Customer Info”, index=False)
df_work_order.to_excel(writer, sheet_name=“Work Order”, index=False)

file_path