Add gcs support

[folded]

Use fsspec to load data from url-like paths.

[gemini-code-assist]

Summary of Changes

Hello @folded, 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 significantly enhances the gemini_ocr library by enabling it to process documents from remote sources, specifically Google Cloud Storage. By integrating the fsspec library, the system can now interpret URL-like paths, allowing for a more versatile and cloud-friendly approach to document input. This change centralizes input handling and ensures robust functionality across different storage mediums.

Highlights

• GCS Support: Added support for loading documents directly from Google Cloud Storage (GCS) paths.
• Dependency Update: Introduced fsspec and gcsfs as new project dependencies to enable flexible file system abstraction.
• Input Resolution Refactoring: Refactored the input source resolution logic into a new private helper function, _resolve_input, to handle various input types including URL-like paths.
• Testing: Added new unit tests to specifically verify the handling of GCS paths and ensure backward compatibility for local file paths.

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[gemini-code-assist]

Code Review

This pull request adds support for loading documents from GCS paths by integrating fsspec. The overall approach is sound and the new functionality is covered by tests. However, I've identified a regression where handling of BinaryIO streams has lost the important seek(0) logic, which could lead to errors. I've also suggested a refactoring to improve the maintainability of the new input resolution logic by reducing code duplication. Please see the detailed comments below.