Beginner: Using Colab or Kaggle ✅

I’m running into the same issue — Did you find a solution?

@LukaszF @devastador try using the following definition of search_images—note the use of DDGS from the duckduckgo_search package:

from duckduckgo_search import DDGS

def search_images(term, max_images=30):
  print(f"Searching for ‘{term}’")
  with DDGS() as ddgs:
        return L(ddgs.images(term, max_results=max_images)).itemgot('image')

Here’s a colab notebook using that function to get images for the Chapter 2 bears classifier.

Hi @vbakshi
Thank you for trying to help.
When I changed the function I get this error instead

Which is weird because I checked the documentation and this parameter is standard one.

When I remove the parameter ‘max_results’ I get the same HTTPerror as previously:

Can you share a link to the notebook you are working in?


It gives this error—perhaps it’s not a public notebook yet?

When you click “Share” at the top right you can select “Public”:

Updated, thanks.

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Yeah I initially got the same error.

It’s interesting that in Google Colab (link to notebook) I run the same code and it works.

I think it’s a version issue.

In Google Colab, it installs version 4.4.3

While in Kaggle the same line of code installs version 3.8.5

When I try to run the following in Kaggle:

! pip install duckduckgo_search==4.4.3

I got the error:

ERROR: Could not find a version that satisfies the requirement duckduckgo_search==4.4.3 (from versions: 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.9.5, 1.0, 1.1, 1.2, 1.3, 1.3.5, 1.4, 1.5, 1.5.1, 1.5.2, 1.6, 1.6.2, 1.7.1, 1.8, 1.8.1, 1.8.2, 2.0.2, 2.1.3, 2.2.0, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.5.0, 2.6.0, 2.6.1, 2.7.0, 2.8.0, 2.8.1, 2.8.3, 2.8.4, 2.8.5, 2.8.6, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.9.4, 2.9.5, 3.0.2, 3.1.1, 3.2.0, 3.3.0, 3.4.1, 3.5.0, 3.6.0, 3.7.0, 3.7.1, 3.8.0, 3.8.1, 3.8.2, 3.8.3, 3.8.4, 3.8.5)
ERROR: No matching distribution found for duckduckgo_search==4.4.3

It turns out that it was a Kaggle notebook setting issue! If you open the notebook settings in Kaggle (left-pointing arrow on the bottom right) it will open up this pane—scroll down to “Environment” and select “Always use latest environment”, then restart the session and run the code and it should work:

1 Like

Thank you! It helped!
I actually tried changing the encironment to the latest but did not update the function itself.
So, there were actually 2 problems that needed to be solved.
Thank you once again!

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anyone know the answer to this quesetion?

I was able to produce a minimal reproducible example in this notebook with the 4 lines of code for training the text_classifier.

Hello there, Just a minor doubt. I was doing image classification in kaggle(notebook).

During training I was using the GPU T4*2 but only one gpu was actively running while the other one is completely idle.

So the doubt: Should I change/optimize the code or change GPU type? Any heuristic to to follow!

Am having the error below. Please any help