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Llava completion

LlavaCompletionPack #

Bases: BaseLlamaPack

Llava Completion pack.

Source code in llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/base.py 
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class LlavaCompletionPack(BaseLlamaPack):
    """Llava Completion pack."""

    def __init__(
        self,
        image_url: str,
        **kwargs: Any,
    ) -> None:
        """Init params."""
        import os

        if not os.environ.get("REPLICATE_API_TOKEN", None):
            raise ValueError("Replicate API Token is missing or blank.")

        self.image_url = image_url

        self.llm = Replicate(
            model="yorickvp/llava-13b:2facb4a474a0462c15041b78b1ad70952ea46b5ec6ad29583c0b29dbd4249591",
            image=self.image_url,
        )

    def get_modules(self) -> Dict[str, Any]:
        """Get modules."""
        return {
            "llm": self.llm,
            "image_url": self.image_url,
        }

    def run(self, *args: Any, **kwargs: Any) -> Any:
        """Run the pipeline."""
        return self.llm.complete(*args, **kwargs)

get_modules #

get_modules() -> Dict[str, Any]

Get modules.

Source code in llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/base.py 
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def get_modules(self) -> Dict[str, Any]:
    """Get modules."""
    return {
        "llm": self.llm,
        "image_url": self.image_url,
    }

run #

run(*args: Any, **kwargs: Any) -> Any

Run the pipeline.

Source code in llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/base.py 
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def run(self, *args: Any, **kwargs: Any) -> Any:
    """Run the pipeline."""
    return self.llm.complete(*args, **kwargs)