BM25Encoder.default() Fails to download stopwords on a cert error

[newgolddream]

Is this a new bug?

• I believe this is a new bug
• I have searched the existing issues, and I could not find an existing issue for this bug

Current Behavior

Invoking BM25Encoder.getDefault() fails to download related files with a SSL cert error:

File "****.py", line 45, in sparseVectorQuery
    bm25 = BM25Encoder.default()
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/pinecone_text/sparse/bm25_encoder.py", line 261, in default
    wget.download(url, str(tmp_path))
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/wget.py", line 526, in download
    (tmpfile, headers) = ulib.urlretrieve(binurl, tmpfile, callback)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 241, in urlretrieve
    with contextlib.closing(urlopen(url, data)) as fp:
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 216, in urlopen
    return opener.open(url, data, timeout)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 519, in open
    response = self._open(req, data)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 536, in _open
    result = self._call_chain(self.handle_open, protocol, protocol +
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 496, in _call_chain
    result = func(*args)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 1391, in https_open
    return self.do_open(http.client.HTTPSConnection, req,
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py", line 1351, in do_open
    raise URLError(err)

Expected Behavior

Expect BM25Encoder.getDefault() to download supporting files successfully when they are not already present in the environment.

Steps To Reproduce

from pinecone_text.sparse import BM25Encoder

def createSparseVectors(chunks):

    #  encoder = tiktoken.encoding_for_model("gpt-4")

    # extract text to form corpus
    corpus = []
    for chunk in chunks:
        corpus.append(chunk["content"])

    bm25 = BM25Encoder.default() # <<<<<<<<<<<<<<<
    bm25.fit(corpus)

    sparse_vectors = bm25.encode_documents(corpus)

    return sparse_vectors



x = [
    {"content":"apples are red"},
    {"content":"bananas are yellow"}
]
createSparseVectors(x)

Relevant log output

No response

Environment

MacOS 13.1
python==3.10.9
pip==24.0
certi==24.2.2
pinecone-client==3.0.2
pinecone-text==0.8.0

Additional Context

No response