[Snyk] Fix for 9 vulnerabilities

[hevnsnt]

Snyk has created this PR to fix 9 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 aiohttp, which is not installed.

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Important

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• 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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[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, focuses on improving the security of the project by resolving multiple identified vulnerabilities in its Python dependencies. It achieves this by updating and pinning specific package versions in the requirements.txt file, ensuring a more secure and stable application environment.

Highlights

• Vulnerability Fixes: Snyk has automatically generated this pull request to address 9 identified vulnerabilities within the project's pip dependencies, enhancing the overall security posture.
• Dependency Updates: The requirements.txt file has been updated to explicitly pin aiohttp to version 3.13.3 and urllib3 to version 2.6.3 to mitigate the discovered vulnerabilities.

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[gemini-code-assist]

Code Review

This pull request from Snyk correctly addresses security vulnerabilities by pinning aiohttp and urllib3 to patched versions. The change is beneficial and recommended for merging.

My review also identified several opportunities to improve the project's dependency management in requirements.txt. I've added a detailed comment suggesting to:

• Pin all direct dependencies to ensure reproducible builds.
• Add missing dependencies (tweepy, jiter, ffmpy).
• Resolve a version conflict with typing-extensions.
• Remove a redundant dependency (pathlib).

Implementing these suggestions will enhance the project's stability and maintainability.

[gemini-code-assist]

While pinning these transitive dependencies is a good step for security, this requirements.txt file has several other issues that should be addressed to ensure reproducible builds and fix dependency conflicts.

Here's a summary of issues and recommendations:

• Unpinned Dependencies: Packages like openai and gradio are not version-pinned. This can lead to unexpected issues when new versions are released. It's a best practice to pin all direct dependencies to specific versions (e.g., openai==1.53.1). You can generate a fully pinned requirements.txt using pip freeze > requirements.txt in a clean virtual environment.

• Missing Dependencies:

  • The project uses tweepy (in PwnAI.ipynb), but it's not listed here.
  • The Snyk report indicates that jiter (required by openai) and ffmpy (required by gradio) are missing.
    These should be added to requirements.txt.

• Dependency Version Conflict: The Snyk report shows a conflict with typing-extensions. openai requires <5,>=4.11 but an older version is installed. This can be resolved by adding typing-extensions>=4.11.0,<5 to this file.

• Redundant Dependency: pathlib has been part of Python's standard library since version 3.4. It can likely be removed unless you need to support very old Python versions.

Addressing these points will make your project's dependency management more robust and prevent potential runtime errors.