Not able to process docx file

[deepak-hl]

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Example Code

def load_and_split_documents(loader, chunk_size=None, chunk_overlap=None):
        try:
            document = []
            document = loader.load()
        except Exception as e:
            print(f'An error occurred: {e}')

        text_splitter = RecursiveCharacterTextSplitter(
            chunk_size=chunk_size, chunk_overlap=chunk_overlap
        )
        return text_splitter.split_documents(documents=document)
        texts = load_and_split_documents(
                UnstructuredWordDocumentLoader(file_path), chunk_size=2000, chunk_overlap=100
            )

Description

An error occurred: '_Row' object has no attribute 'grid_cols_before'
the error occured in loader.load()

System Info

langchain==0.3.4
langchain-community==0.3.3
langchain-core==0.3.12
langchain-openai==0.2.3
langchain-text-splitters==0.3.0
langchain-unstructured==0.1.5
langchainhub==0.1.14

[deepak-hl]

@dosu

[dosubot[bot]]

The error message '_Row' object has no attribute 'grid_cols_before' suggests that there might be an issue with how the UnstructuredWordDocumentLoader is processing the .docx file. This could be due to a specific structure or element in the Word document that the loader is not handling correctly.

Here are a few steps you can take to troubleshoot and potentially resolve the issue:

1. Check the Document Structure: Open the .docx file in a Word processor and inspect the document for any complex table structures or unusual formatting that might not be supported by the loader.

2. Update Packages: Ensure that all related packages are up to date. Sometimes, bugs are fixed in newer versions. You can update the packages using pip:

   pip install --upgrade langchain langchain-community langchain-core langchain-openai langchain-text-splitters langchain-unstructured langchainhub

3. Simplify the Document: If possible, try simplifying the document by removing complex elements like tables or images to see if the error persists.

4. Test with Another Document: Try loading a different .docx file to determine if the issue is specific to the document you are using.

5. Debugging: Add more detailed logging or print statements in your code to identify exactly where the error occurs within the loader.load() method.

If the issue persists after these steps, it might be a limitation or bug in the UnstructuredWordDocumentLoader class itself. In such cases, reviewing the loader's implementation or checking for any open issues related to this error in the LangChain repository might provide further insights.

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