Errors in pip install -Uqq fastai duckduckgo_search

Part 1 (2019)
1

I just started with the course. In the notebook “Is it a bird? Creating a model from your own data” when i execute step 2 which installs duckduckgo_search, i get errors and further cells do not function

pip install -Uqq fastai duckduckgo_search

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow-io 0.21.0 requires tensorflow-io-gcs-filesystem==0.21.0, which is not installed.
explainable-ai-sdk 1.3.2 requires xai-image-widget, which is not installed.
dask-cudf 21.10.1 requires cupy-cuda114, which is not installed.
tensorflow 2.6.2 requires numpy~=1.19.2, but you have numpy 1.20.3 which is incompatible.
tensorflow 2.6.2 requires six~=1.15.0, but you have six 1.16.0 which is incompatible.
tensorflow 2.6.2 requires typing-extensions~=3.7.4, but you have typing-extensions 3.10.0.2 which is incompatible.
tensorflow 2.6.2 requires wrapt~=1.12.1, but you have wrapt 1.13.3 which is incompatible.
tensorflow-transform 1.5.0 requires absl-py<0.13,>=0.9, but you have absl-py 0.15.0 which is incompatible.
tensorflow-transform 1.5.0 requires numpy<1.20,>=1.16, but you have numpy 1.20.3 which is incompatible.
tensorflow-transform 1.5.0 requires pyarrow<6,>=1, but you have pyarrow 6.0.1 which is incompatible.
tensorflow-transform 1.5.0 requires tensorflow!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<2.8,>=1.15.2, but you have tensorflow 2.6.2 which is incompatible.
tensorflow-serving-api 2.7.0 requires tensorflow<3,>=2.7.0, but you have tensorflow 2.6.2 which is incompatible.
flake8 4.0.1 requires importlib-metadata<4.3; python_version < "3.8", but you have importlib-metadata 4.11.3 which is incompatible.
featuretools 1.6.0 requires numpy>=1.21.0, but you have numpy 1.20.3 which is incompatible.
dask-cudf 21.10.1 requires dask==2021.09.1, but you have dask 2022.2.0 which is incompatible.
dask-cudf 21.10.1 requires distributed==2021.09.1, but you have distributed 2022.2.0 which is incompatible.
apache-beam 2.34.0 requires dill<0.3.2,>=0.3.1.1, but you have dill 0.3.4 which is incompatible.
apache-beam 2.34.0 requires httplib2<0.20.0,>=0.8, but you have httplib2 0.20.2 which is incompatible.
apache-beam 2.34.0 requires pyarrow<6.0.0,>=0.15.1, but you have pyarrow 6.0.1 which is incompatible.
aioitertools 0.10.0 requires typing_extensions>=4.0; python_version < "3.10", but you have typing-extensions 3.10.0.2 which is incompatible.
aiobotocore 2.1.2 requires botocore<1.23.25,>=1.23.24, but you have botocore 1.24.20 which is incompatible.
2

latet cells have this error.

Searching for 'bird photos'
/opt/conda/lib/python3.7/site-packages/duckduckgo_search/compat.py:60: UserWarning: ddg_images is deprecated. Use DDGS().images() generator
  warnings.warn("ddg_images is deprecated. Use DDGS().images() generator")
/opt/conda/lib/python3.7/site-packages/duckduckgo_search/compat.py:64: UserWarning: parameter page is deprecated
  warnings.warn("parameter page is deprecated")
/opt/conda/lib/python3.7/site-packages/duckduckgo_search/compat.py:66: UserWarning: parameter max_results is deprecated
  warnings.warn("parameter max_results is deprecated")
---------------------------------------------------------------------------
HTTPError                                 Traceback (most recent call last)
/tmp/ipykernel_53/2432147335.py in <module>
      1 #NB: `search_images` depends on duckduckgo.com, which doesn't always return correct responses.
      2 #    If you get a JSON error, just try running it again (it may take a couple of tries).
----> 3 urls = search_images('bird photos', max_images=1)
      4 urls[0]

/tmp/ipykernel_53/1717929076.py in search_images(term, max_images)
      4 def search_images(term, max_images=30):
      5     print(f"Searching for '{term}'")
----> 6     return L(ddg_images(term, max_results=max_images)).itemgot('image')

/opt/conda/lib/python3.7/site-packages/duckduckgo_search/compat.py in ddg_images(keywords, region, safesearch, time, size, color, type_image, layout, license_image, max_results, page, output, download)
     80         type_image=type_image,
     81         layout=layout,
---> 82         license_image=license_image,
     83     ):
     84         results.append(r)

/opt/conda/lib/python3.7/site-packages/duckduckgo_search/duckduckgo_search.py in images(self, keywords, region, safesearch, timelimit, size, color, type_image, layout, license_image)
    403         assert keywords, "keywords is mandatory"
    404 
--> 405         vqd = self._get_vqd(keywords)
    406         assert vqd, "error in getting vqd"
    407 

/opt/conda/lib/python3.7/site-packages/duckduckgo_search/duckduckgo_search.py in _get_vqd(self, keywords)
     93     def _get_vqd(self, keywords: str) -> Optional[str]:
     94         """Get vqd value for a search query."""
---> 95         resp = self._get_url("POST", "https://duckduckgo.com", data={"q": keywords})
     96         if resp:
     97             for c1, c2 in (

/opt/conda/lib/python3.7/site-packages/duckduckgo_search/duckduckgo_search.py in _get_url(self, method, url, **kwargs)
     87                 logger.warning(f"_get_url() {url} {type(ex).__name__} {ex}")
     88                 if i >= 2 or "418" in str(ex):
---> 89                     raise ex
     90             sleep(3)
     91         return None

/opt/conda/lib/python3.7/site-packages/duckduckgo_search/duckduckgo_search.py in _get_url(self, method, url, **kwargs)
     80                 )
     81                 if self._is_500_in_url(str(resp.url)) or resp.status_code == 202:
---> 82                     raise httpx._exceptions.HTTPError("")
     83                 resp.raise_for_status()
     84                 if resp.status_code == 200:

HTTPError:
3

i used https://github.com/fastai/course22/blob/master/clean/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb which seems to be the latest version.
The course website needs to be updated though.

4

Some similar-looking HTTPS errors I had were fixed by running this code first:

import ssl
ssl._create_default_https_context = ssl._create_unverified_context

For more context, and a comment on security, see my post in the Lesson 1 topic: Lesson 1 official topic - #610 by Arthur