Allow csv support on sleap track

Walkthrough

The recent updates to the inference module enhance the flexibility of video input and output handling. The _make_provider_from_cli function now supports multiple paths derived from CSV files, allowing for batch processing of videos. This improvement streamlines the process, improves error handling, and ensures users can easily work with diverse file types and structures.

Changes

Files	Change Summary
`sleap/nn/inference.py`	Enhanced `_make_provider_from_cli` to support multiple video inputs and CSV-derived paths; updated return signature to include lists of providers and paths; improved error handling and logging for input files. Main function adjusted to process new return values for batch processing.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant CLI
    participant Inference
    participant Provider

    User->>CLI: Provide input arguments
    CLI->>Inference: Call _make_provider_from_cli(args)
    Inference->>Provider: Read CSV or Directory
    Provider->>Inference: Return list of providers, data paths, output paths
    Inference->>Inference: Process each provider and path
    Inference->>User: Execute inference and return results

Poem

🐇 In fields where video hops and plays,
A change has come to brighten our days.
With paths aplenty from CSVs wide,
We leap through data, our joy our guide.
So gather your clips, let’s dance and prance,
For every input now has a chance! 🎥✨

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talmolab / sleap