Fixed backend issues: issue #212

[Dasux]

This PR addresses issue #212
Issues in script.sh and server.py have been resolved

Changes made:

• Replaced all instances of the deprecated jors_winkler module with jaro_winkler_similarity in server.py and main.py to resolve the import error.

• Implemented a fallback mechanism to force the script to use the CPU instead of the GPU if insufficient VRAM is detected, addressing the CUDA out-of-memory error on devices with limited GPU memory.

• Set the environment variable os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True" to avoid memory fragmentation and improve GPU memory allocation handling.

NOTE:
Two of the files I've added in this PR.. jaro_wrinkler.py and convert_score_and_distance_functions.py should be replaced from their respective directories... namely:

1. EduAid/backend/venv/lib/python3.12/site-packages/similarity/jaro_winkler.py
2. EduAid/backend/venv/lib/python3.12/site-packages/similarity/convert_score_and_distance_functions.py

These changes should fix the reported issues with the server script and improve the overall reliability on systems with limited GPU resources.