fix 502: portable paths and zero-division guard in llm_simple_qa example

[Priyanshu6968]

What type of PR is this?

/kind bug

What this PR does / why we need it:
The llm_simple_qa example could not be run in a clean Colab because of machine-specific hardcoded paths, stale config references. This PR solves it.

Which issue(s) this PR fixes:
Fixes #502

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[kubeedge-bot]

Welcome @Priyanshu6968! It looks like this is your first PR to kubeedge/ianvs 🎉

[gemini-code-assist]

Code Review

This pull request updates the llm_simple_qa example by replacing absolute local file paths with relative paths and standard Hugging Face model IDs, making the code more portable. It also adds a division-by-zero guard in the accuracy metric calculation. The reviewer noted that this guard is placed too late, as an IndexError can still occur during the list comprehension if the input lengths differ, and recommended validating the inputs at the start of the function.

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[gemini-code-assist]

The guard if not same_elements: is introduced to prevent a division-by-zero error. However, if y_true is empty or shorter than y_pred, the list comprehension on line 36 (same_elements = [y_pred[i] == y_true[i] for i in range(len(y_pred))]) will raise an IndexError before this guard is ever reached. To make this function robust against mismatched or empty inputs, the validation should be performed at the beginning of the function.