[Snyk] Fix for 49 vulnerabilities

[spolti]

Snyk has created this PR to fix 49 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• requirements.txt

⚠️ Warning

``` wheel 0.38.0 has requirement setuptools>=57.0.0, but you have setuptools 40.5.0. tfx 1.2.0 requires ml-metadata, which is not installed. tfx 1.2.0 requires tfx-bsl, which is not installed. tfx 1.2.0 requires tensorflow-data-validation, which is not installed. tfx 1.2.0 requires tensorflow, which is not installed. tfx 1.2.0 has requirement jinja2<3,>=2.7.3, but you have jinja2 3.1.4. tfx 1.2.0 has requirement numpy<1.20,>=1.16, but you have numpy 1.21.3. terminado 0.11.0 requires tornado, which is not installed. tensorflow-transform 1.2.0 requires tensorflow, which is not installed. tensorflow-transform 1.2.0 requires tfx-bsl, which is not installed. tensorflow-transform 1.2.0 has requirement numpy<1.20,>=1.16, but you have numpy 1.21.3. tensorflow-serving-api 2.5.1 requires tensorflow, which is not installed. tensorflow-model-analysis 0.33.0 requires scipy, which is not installed. tensorflow-model-analysis 0.33.0 requires tensorflow, which is not installed. tensorflow-model-analysis 0.33.0 requires tfx-bsl, which is not installed. tensorflow-model-analysis 0.33.0 has requirement numpy<1.20,>=1.16, but you have numpy 1.21.3. tensorboard 2.6.0 requires werkzeug, which is not installed. tensorboard 2.6.0 has requirement setuptools>=41.0.0, but you have setuptools 40.5.0. platformdirs 4.0.0 has requirement typing-extensions>=4.7.1; python_version < "3.8", but you have typing-extensions 3.7.4.3. notebook 6.4.12 requires tornado, which is not installed. nbconvert 6.3.0b0 has requirement mistune<2,>=0.8.1, but you have mistune 2.0.3. ml-pipelines-sdk 1.2.0 requires ml-metadata, which is not installed. ml-pipelines-sdk 1.2.0 has requirement jinja2<3,>=2.7.3, but you have jinja2 3.1.4. keras-tuner 1.0.1 requires scipy, which is not installed. keras-tuner 1.0.1 requires scikit-learn, which is not installed. jupyter-client 6.1.12 requires tornado, which is not installed. ipykernel 6.2.0 requires tornado, which is not installed. importlib-metadata 4.6.4 requires zipp, which is not installed. black 23.3.0 has requirement typing-extensions>=3.10.0.0; python_version < "3.10", but you have typing-extensions 3.7.4.3. black 23.3.0 has requirement click>=8.0.0, but you have click 7.1.2. black 23.3.0 has requirement packaging>=22.0, but you have packaging 20.9. apache-beam 2.31.0 has requirement numpy<1.21.0,>=1.14.3, but you have numpy 1.21.3. apache-beam 2.31.0 has requirement pymongo<4.0.0,>=3.8.0, but you have pymongo 4.6.3.

</details>





---

> [!IMPORTANT]
>
> - Check the changes in this PR to ensure they won't cause issues with your project.
> - Max score is 1000. Note that the real score may have changed since the PR was raised.
> - This PR was automatically created by Snyk using the credentials of a real user.
> - Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

---

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[//]: # 'snyk:metadata:{"customTemplate":{"variablesUsed":[],"fieldsUsed":[]},"dependencies":[{"name":"black","from":"21.7b0","to":"24.3.0"},{"name":"certifi","from":"2021.5.30","to":"2024.7.4"},{"name":"future","from":"0.18.2","to":"0.18.3"},{"name":"grpcio","from":"1.34.1","to":"1.53.2"},{"name":"idna","from":"3.2","to":"3.7"},{"name":"ipython","from":"7.26.0","to":"8.10.0"},{"name":"jinja2","from":"2.11.3","to":"3.1.4"},{"name":"joblib","from":"0.14.1","to":"1.1.1"},{"name":"jupyter-core","from":"4.7.1","to":"4.11.2"},{"name":"mistune","from":"0.8.4","to":"2.0.3"},{"name":"nbconvert","from":"6.1.0","to":"6.3.0b0"},{"name":"notebook","from":"6.4.3","to":"6.4.12"},{"name":"numpy","from":"1.19.5","to":"1.22.2"},{"name":"oauthlib","from":"3.1.1","to":"3.2.2"},{"name":"protobuf","from":"3.17.3","to":"3.18.3"},{"name":"pyarrow","from":"2.0.0","to":"14.0.1"},{"name":"pygments","from":"2.10.0","to":"2.15.0"},{"name":"pymongo","from":"3.12.0","to":"4.6.3"},{"name":"requests","from":"2.26.0","to":"2.32.2"},{"name":"scikit-learn","from":"0.24.2","to":"1.5.0"},{"name":"scipy","from":"1.7.1","to":"1.10.0rc1"},{"name":"setuptools","from":"40.5.0","to":"70.0.0"},{"name":"tornado","from":"6.1","to":"6.4.1"},{"name":"tqdm","from":"4.62.1","to":"4.66.3"},{"name":"urllib3","from":"1.26.6","to":"1.26.19"},{"name":"werkzeug","from":"2.0.1","to":"3.0.3"},{"name":"wheel","from":"0.37.0","to":"0.38.0"},{"name":"yamale","from":"3.0.8","to":"4.0.0"},{"name":"zipp","from":"3.5.0","to":"3.19.1"}],"env":"prod","issuesToFix":[{"exploit_maturity":"Proof 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