Fix: Replace manual unzip shell command with Python zipfile

[jaytiwarihub]

Description
The current tutorial relies on a shell command (unzip) to extract the dataset. This fails on Windows environments where unzip is not installed by default, and it interrupts the flow for users who haven't manually configured the Kaggle CLI.

Changes

• Replaced the manual shell instructions with Python's built-in zipfile module.
• Added a check to verify if the dataset exists before attempting extraction.
• Updated the code to be cross-platform (works on Windows, Linux, and macOS).

Verification

• I tested the script locally.
• Verified that the zip file is correctly extracted to the 16000_pcm_speeches directory automatically.

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[gemini-code-assist]

Summary of Changes

Hello @jaytiwarihub, 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 enhances the robustness and cross-platform compatibility of the speaker recognition tutorial by refactoring the dataset extraction process. It moves away from platform-dependent shell commands to a pure Python solution using the zipfile module, which includes checks for dataset availability and provides user-friendly guidance.

Highlights

• Cross-platform compatibility: Replaced the reliance on the unzip shell command with Python's built-in zipfile module, ensuring the tutorial works seamlessly across Windows, Linux, and macOS environments.
• Robust dataset handling: Implemented checks to verify the existence of the dataset before attempting extraction, providing clearer instructions to users if the dataset or zip file is missing.

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[gemini-code-assist]

Code Review

This pull request is a good improvement, replacing the platform-dependent unzip command with Python's zipfile module. This enhances cross-platform compatibility, especially for Windows users. The added check for the dataset's existence is also a thoughtful addition. I've pointed out a small redundancy in variable definition and suggested a minor change to improve consistency in path handling using pathlib.

[gemini-code-assist]

The pathlib module is already imported and used in this file for path operations. For consistency and better cross-platform compatibility, it's good practice to use pathlib.Path for checking file existence as well, instead of os.path.exists.

Suggested change

	if not os.path.exists(DATASET_ROOT):
	if os.path.exists(ZIP_FILE):
	if not Path(DATASET_ROOT).exists():
	if Path(ZIP_FILE).exists():

[gemini-code-assist]

The DATASET_ROOT variable is already defined on line 56. This re-definition is redundant and can be safely removed.

[jaytiwarihub]

@googlebot I signed it!

[jaytiwarihub]

@googlebot I signed it!

[jaytiwarihub]

@googlebot I signed it!

[jaytiwarihub]

@googlebot I signed it!