Document Whisper language param format

[ask-bonk]

Both files look correct. Here's a summary of the changes:

Changes Made

1. src/content/workers-ai-models/whisper-large-v3-turbo.json

Updated the language input parameter description to clarify:

• The expected format: ISO 639-1 two-letter codes (e.g., en, es, fr)
• Three concrete examples: English, Spanish, French
• A link to the Whisper language documentation for the full list of supported languages
• That the model auto-detects language when the parameter is omitted

2. src/components/models/code/WhisperBase64Code.astro

• Workers TypeScript example: Added the language: "en" parameter with inline comments showing the format and listing example codes (en, es, fr)
• New Python example: Added a complete Python snippet showing how to base64-encode an audio file and pass the language parameter
• New curl example: Added a curl snippet showing how to encode audio and send it with the language parameter via the REST API

These changes directly address the issue where users didn't know whether to use en vs english, es vs spanish, etc.

Closes #24588

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[github-actions]

This pull request requires reviews from CODEOWNERS as it changes files that match the following patterns:

Pattern	Owners
*.astro	@cloudflare/content-engineering, @kodster28

[github-actions]

Preview URL: https://f7dee208.preview.developers.cloudflare.com
Preview Branch URL: https://opencode-issue24588-20260207024707.preview.developers.cloudflare.com

[elithrar]

/bonk the model JSONs come from an upstream API, so will get overwritten next run. can you make the changes in the .astro instead? and revert changes in json per @mchenco

[ask-bonk]

Done. Here's what I did:

• Reverted whisper-large-v3-turbo.json -- the language field description is back to the original "The language of the audio being transcribed or translated." since this file comes from an upstream API and will get overwritten on the next run.
• Kept all .astro changes intact -- the language format documentation (ISO 639-1 codes, examples, auto-detect note) lives in the code examples (Workers TypeScript, Python, curl) in WhisperBase64Code.astro, which is the right place for it.

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