[Snyk] Security upgrade streamlit from 1.23.1 to 1.27.0

[guillaume-vignal]

This PR was automatically created by Snyk using the credentials of a real user.

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • requirements.dev.txt

⚠️ Warning

xgboost 1.6.2 requires scipy, which is not installed.
statsmodels 0.13.5 requires scipy, which is not installed.
statsmodels 0.13.5 requires scipy, which is not installed.
skranger 0.7.0 has requirement scikit-learn<1,>=0.23.0, but you have scikit-learn 1.0.2.
shap 0.42.1 requires scipy, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
phik 0.12.3 requires scipy, which is not installed.
lime 0.2.0.1 requires scipy, which is not installed.
lime 0.2.0.1 requires scikit-image, which is not installed.
lightgbm 2.3.1 requires scipy, which is not installed.
category-encoders 2.6.2 requires scipy, which is not installed.
catboost 1.2.2 requires scipy, which is not installed.
acv-exp 1.2.3 requires streamlit, which is not installed.
acv-exp 1.2.3 requires scipy, which is not installed.

Vulnerabilities that will be fixed

By pinning:

Severity	Priority Score (*)	Issue	Upgrade	Breaking Change	Exploit Maturity
	608/1000 Why? Proof of Concept exploit, Recently disclosed, Has a fix available, CVSS 4.3	Improper Output Neutralization for Logs SNYK-PYTHON-STREAMLIT-5880413	streamlit: 1.23.1 -> 1.27.0	No	Proof of Concept

(*) Note that the real score may have changed since the PR was raised.

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.

Check the changes in this PR to ensure they won't cause issues with your project.

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🦉 Improper Output Neutralization for Logs