Implement autosuggestions generation in get_data function

[Collins-Webdev]

This commit integrates the autosuggestions functionality from process_wiki.py
into the get_data function in get.py. Key changes include:

1. Import gen_autosuggestions function from scribe_data.wikipedia.process_wiki
2. Add new conditional block to handle 'autosuggestions' data type
3. Implement autosuggestions generation logic for specified languages
4. Add placeholder load_text_corpus function for future implementation

The autosuggestions block now:

• Iterates through specified languages
• Loads text corpus (placeholder function to be implemented)
• Calls gen_autosuggestions with appropriate parameters
• Sets update_local_data=True to save results
• Uses interactive mode for verbose output

This update allows CLI users to generate autosuggestions directly via
the get command, streamlining the data generation process.

Note: The load_text_corpus function needs to be implemented to load
the actual text corpus for each language before this feature is fully functional.

TODO:

• Implement load_text_corpus function
• Ensure correct file paths and imports across the project
• Add error handling for corpus loading and autosuggestions generation
• Update documentation to reflect new autosuggestions functionality in CLI

Contributor checklist

• This pull request is on a separate branch and not the main branch
• I have tested my code with the pytest command as directed in the testing section of the contributing guide

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Description

Related issue

• #ISSUE_NUMBER

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Maintainer checklist

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[andrewtavis]

Hey @Collins-Webdev: Current version of this branch doesn't have anything to do with autosuggestions and the included queries already exist, so I'll go ahead and close this :)