[Snyk] Security upgrade gunicorn from 20.1.0 to 21.2.0

[Amartyajha]

User description

Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• docker-example/requirements.txt

⚠️ Warning

sqlmodel 0.0.8 has requirement SQLAlchemy<=1.4.41,>=1.4.17, but you have SQLAlchemy 2.0.32.
reflex 0.2.9 has requirement gunicorn<21.0.0,>=20.1.0, but you have gunicorn 23.0.0.

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Description

• Pinned gunicorn to version 21.2.0 or higher in docker-example/requirements.txt to mitigate the vulnerability identified by Snyk (SNYK-PYTHON-GUNICORN-7856105).

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Changes walkthrough

	Relevant files
Dependencies	requirements.txt Pin gunicorn to Avoid Vulnerability                                                        docker-example/requirements.txt Pinned gunicorn to version 21.2.0 or higher to address a known vulnerability. +1/-0

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Things to consider

Based on the information provided and the context of the PR, here are potential issues that could arise from the changes in the PR:

1. Dependency Conflict: The warning in the PR description indicates that reflex 0.2.9 requires gunicorn<21.0.0,>=20.1.0, but the PR upgrades gunicorn to 21.2.0 or higher. This could lead to a dependency conflict, as the reflex package may not be compatible with the newer version of gunicorn. This could cause runtime errors if reflex relies on deprecated or altered functionality in gunicorn.

2. SQLAlchemy Version Incompatibility: The warning also mentions that sqlmodel 0.0.8 requires SQLAlchemy<=1.4.41,>=1.4.17, but a different version of SQLAlchemy is present. Although this is not directly related to the change in the gunicorn version, it is a potential issue that could cause problems with database interactions if not addressed.

3. Regression in Gunicorn: Upgrading gunicorn to a newer version could introduce regression bugs if the new version contains changes that are not backward compatible with the current codebase. This could manifest as issues with the WSGI server's performance, reliability, or behavior, which might not be immediately evident without thorough testing.

It is important to note that these are potential issues based on the information provided and the context of the PR. Actual issues would require further investigation and testing within the project's specific environment.