docs(genapi): added ocr models

[firdevs-a]

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• Name your pull request according to the contribution guidelines.

Description

Please describe what you added or changed.

[fpagny]

Suggested change

import os

Not needed if suggestion is to write the API Key directly, without using an environment variable.

[fpagny]

Suggested change

	Note that this snippet requires `mistralai >= 2.0.0`. For `mistralai <= 1.12.4` (also named `v1`), replace `from mistralai.client import Mistral` with `from mistralai import Mistral`.

[fpagny]

Suggested change

	The input file or image must be stored in Scaleway Object Storage and referenced by its URL.
	You can for instance provide a file from Object Storage using an [Object Storage pre-signed URL](https://www.scaleway.com/en/docs/object-storage/how-to/access-objects-via-https/).

[fpagny]

Suggested change

	Alternatively, you can also provide a local PDF file encoded in Base64 format.
	```python
	import base64
	FILE_PATH = "path/to/your/file.pdf"
	MODEL = "mistral-ocr-2512"
	with open(FILE_PATH, "rb") as file:
	file_content = file.read()
	encoded_file= base64.b64encode(file_content).decode("utf-8")
	res = mistral.ocr.process(
	model=MODEL,
	document={
	"document_url": f"data:application/pdf;base64,{encoded_file}",
	"type": "document_url",
	}
	)
	filename = FILE_PATH.split("/")[-1].split(".")[0]
	with open(f"{filename}.md", "w") as f:
	for page in res.pages:
	f.write(page.markdown)
	# Print the generated response
	print(f"File processed. Result markdown file stored in: {filename}.md")
	```