[Snyk] Security upgrade python-multipart from 0.0.8 to 0.0.22

[hevnsnt]

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

Snyk changed the following file(s):

• requirements.txt

⚠️ Warning

openai 1.53.1 requires jiter, which is not installed.
openai 1.53.1 has requirement typing-extensions<5,>=4.11, but you have typing-extensions 4.7.1.
gradio 3.34.0 requires ffmpy, which is not installed.
gradio 3.34.0 requires python-multipart, which is not installed.

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• 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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[gemini-code-assist]

Summary of Changes

Hello @hevnsnt, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request, automatically generated by Snyk, aims to enhance the project's security posture by updating a critical dependency. It specifically targets a vulnerability in python-multipart by upgrading it to a secure version, thereby mitigating potential risks without direct manual intervention.

Highlights

• Security Upgrade: The python-multipart dependency has been upgraded from version 0.0.8 to 0.0.22 to address a security vulnerability identified by Snyk.
• Automated Fix: This pull request was automatically generated by Snyk to fix a vulnerability in the project's pip dependencies.

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[gemini-code-assist]

Code Review

This pull request, automatically generated by Snyk, upgrades python-multipart to version 0.0.22 or newer to address a security vulnerability. The change is correct and necessary. However, it highlights an opportunity to improve dependency management in the project. While this specific transitive dependency is now pinned, the direct dependencies in requirements.txt are not, which can lead to non-reproducible builds. I've added a comment suggesting pinning all direct dependencies to improve the stability and predictability of your environment.

[gemini-code-assist]

While pinning python-multipart is a good step to resolve the security vulnerability, the other dependencies in this file are not pinned. This can lead to non-reproducible builds and makes the dependency management inconsistent.

It is a best practice to pin all direct dependencies to specific versions (e.g., openai==1.53.1). For a more robust solution, consider using a tool like pip-tools to manage and pin all direct and transitive dependencies. This will improve the stability and predictability of your project.