error in window 10

[chongyangat]

Describe the bug
A clear and concise description of what the bug is.

URLError: <urlopen error [Errno 99] Cannot assign requested address>

To Reproduce
Steps to reproduce the behavior:

1. Go to 1.1. Load key dependencies
2. Click on run
3. Scroll down to bottom
4. See error

Expected behavior

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [win10]
• Browser [IE]
• Version [22]

[esgomezm]

He @chongyangat
This tool is meant to be used with Docker containers and you do not need to install any additional dependencies. Why did you want to install nvidia?
Could you please try it again with the last version of our repo and without installing anything besides the notebook?

[chongyangat]

I just want to test the docker environment. However, the problem above was solved. Since GPU support isn't enabled in windows, I followed the instruction and download the alternatives like conda(Pass-to-conda version) ,then I encountered new problem:

ERROR: failed to solve: process "/bin/sh -c if [ "$GPU_FLAG" -eq "1" ] ; then conda install -y -c conda-forge cudatoolkit=${CUDA_VERSION} cudnn=8.1.0; fi && pip install --no-cache-dir -r requirements.txt && rm requirements.txt && pip install --no-cache-dir nbformat ipywidgets && git clone https://github.com/HenriquesLab/DL4MicEverywhere.git && python DL4MicEverywhere/.tools/notebook_autoconversion/transform.py -p . -n ${NOTEBOOK_NAME} -s ${SECTIONS_TO_REMOVE} && mv colabless_${NOTEBOOK_NAME} ${NOTEBOOK_NAME} && rm -r DL4MicEverywhere" did not complete successfully: exit code: 128
The docker image has not been built.

[chongyangat]

for some reason , i couldn't load the csv file from URL("https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/Colab_notebooks/Latest_Notebook_versions.csv" ) through pd.read_csv(url)
urllib.error.URLError: <urlopen error [Errno 99] Cannot assign requested address>

then I tried the below function:
**import pandas as pd
import requests
from io import StringIO

url = "https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/Colab_notebooks/Latest_Notebook_versions.csv"

response = requests.get(url)
csv_raw = StringIO(response.text)
df = pd.read_csv(csv_raw)

print(df)**

             Notebook Version

0 3D RCAN 1.14.1
1 CARE (2D) 1.15.2
2 CARE (3D) 1.15.2
3 Cellpose 1.16.2
4 CycleGAN 1.13.2
……