[Snyk] Security upgrade transformers from 4.30.2 to 5.0.0rc1

[bozza-man]

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

Snyk changed the following file(s):

• Langchain Chatbot/requirements.txt

⚠️ Warning

sentence-transformers 2.2.2 requires transformers, which is not installed.
sentence-transformers 2.2.2 requires scipy, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.

---

Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• 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.

---

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Deserialization of Untrusted Data

---

Note

Addresses dependency security and completeness in Langchain Chatbot/requirements.txt.

• Adds transformers>=5.0.0rc1 (Snyk-pinned to mitigate vulnerability)
• Ensures sentence_transformers is included alongside existing packages

^{Written by Cursor Bugbot for commit 41a5aec. This will update automatically on new commits. Configure here.}

[coderabbitai]

Important

Review skipped

Ignore keyword(s) in the title.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch snyk-fix-60dfbbf2b4311ed536e79c767b3df316

---

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

_{Comment @coderabbitai help to get the list of available commands and usage tips.}

[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

[chatgpt-codex-connector]

Avoid transformers pin that conflicts with sentence_transformers

If this repo is still installing a sentence-transformers release that caps transformers below 5.0 (e.g., 2.2.2 as noted in the Snyk warning), then adding transformers>=5.0.0rc1 makes pip’s resolver fail with an unsatisfiable constraint (or installs an incompatible version under legacy resolver). That breaks fresh installs for this app; consider upgrading sentence-transformers to a version that supports Transformers 5.x or loosening this to a compatible 4.x patch that fixes the vulnerability.

Useful? React with 👍 / 👎.

[cursor]

Release candidate version pinned for production dependency

The transformers>=5.0.0rc1 pin uses a release candidate version rather than a stable release. According to PyPI, stable version 4.57.3 is available. Release candidates may contain bugs or breaking API changes before final release. Additionally, this is a major version jump (4.x to 5.x) which could cause compatibility issues with sentence-transformers 2.2.2 that the project depends on. The Snyk warnings in the PR description also indicate dependency resolution concerns. This could cause runtime failures when SentenceTransformer is initialized in utils.py.