[Snyk] Security upgrade pytorch-lightning from 1.9.5 to 2.4.0

[turian]

Snyk has created this PR to fix 2 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• requirements.txt

⚠️ Warning

``` tensorflow 2.11.0 requires tensorflow-io-gcs-filesystem, which is not installed. tensorflow 2.11.0 has requirement numpy>=1.20, but you have numpy 1.19.2. tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you have setuptools 40.5.0. scikit-learn 1.0.2 requires scipy, which is not installed. python-daemon 3.0.2 has requirement setuptools>=62.4.0, but you have setuptools 40.5.0. librosa 0.10.2.post1 requires scipy, which is not installed. librosa 0.10.2.post1 has requirement numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3, but you have numpy 1.19.2. librosa 0.10.2.post1 has requirement numba>=0.51.0, but you have numba 0.48.0. googleapis-common-protos 1.63.2 has requirement protobuf!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<6.0.0.dev0,>=3.20.2, but you have protobuf 3.19.6. dcase-util 0.2.20 requires scipy, which is not installed. botocore 1.33.13 has requirement urllib3<1.27,>=1.25.4; python_version < "3.10", but you have urllib3 2.0.7.

</details>





---

> [!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.

---

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---

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