亚马逊产品提取

class AmazonProductExtractionPack(BaseLlamaPack):
    """
    Product extraction pack.

    Given a website url of a product (e.g. Amazon page), screenshot it,
    and use GPT-4V to extract structured outputs.

    """

    def __init__(
        self,
        website_url: str,
        tmp_file_path: str = "./tmp.png",
        screenshot_width: int = 1200,
        screenshot_height: int = 800,
        prompt_template_str: str = DEFAULT_PROMPT_TEMPLATE_STR,
        **kwargs: Any,
    ) -> None:
        """Init params."""
        self.website_url = website_url
        # download image to temporary file
        asyncio.get_event_loop().run_until_complete(
            _screenshot_page(
                website_url,
                tmp_file_path,
                width=screenshot_width,
                height=screenshot_height,
            )
        )

        # put your local directory here
        self.image_documents = SimpleDirectoryReader(
            input_files=[tmp_file_path]
        ).load_data()

        # initialize openai pydantic program
        self.openai_mm_llm = OpenAIMultiModal(
            model="gpt-4-vision-preview", max_new_tokens=1000
        )
        self.openai_program = MultiModalLLMCompletionProgram.from_defaults(
            output_parser=PydanticOutputParser(Product),
            image_documents=self.image_documents,
            prompt_template_str=prompt_template_str,
            llm=self.openai_mm_llm,
            verbose=True,
        )

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

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