[Snyk] Fix for 3 vulnerabilities

[alejandrosuarez]

Snyk has created this PR to fix 3 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• examples/research_projects/onnxruntime/textual_inversion/requirements.txt

⚠️ Warning

transformers 4.30.2 requires safetensors, which is not installed.
torchvision 0.14.1 requires torch, which is not installed.
accelerate 0.20.3 requires torch, which is not installed.

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[gemini-code-assist]

Summary of Changes

Hello @alejandrosuarez, 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, addresses three security vulnerabilities by updating specific Python dependencies within the requirements.txt file for the textual_inversion example. The changes involve pinning torch and wheel to newer, more secure versions, thereby enhancing the project's overall security posture.

Highlights

• Dependency Updates: The requirements.txt file for the textual_inversion example has been updated to pin torch to version 2.10.0 and wheel to version 0.46.2.
• Vulnerability Fixes: These dependency updates are intended to fix 3 identified security vulnerabilities related to torch and wheel as detected by Snyk.
• Automated PR: This pull request was automatically generated by Snyk to propose the necessary dependency upgrades for security remediation.

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[gemini-code-assist]

Code Review

This pull request from Snyk addresses security vulnerabilities by pinning the versions of torch and wheel. The changes are correct and necessary. I have one suggestion to improve a comment in requirements.txt to accurately reflect that torch is a direct dependency of the project.

Additionally, the Snyk report in the PR description warns that safetensors is a required but missing dependency for transformers. I recommend adding safetensors to requirements.txt to make the project's dependencies explicit and ensure reproducible builds.

[gemini-code-assist]

The comment states that torch is not directly required. However, torch is imported and used extensively in textual_inversion.py, making it a direct dependency. The comment should be updated to avoid confusion. Pinning the version is correct for security reasons, but the justification in the comment is misleading.

torch>=2.10.0 # pinned by Snyk to avoid a vulnerability

[socket-security]

Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	wheel@​0.46.3

View full report