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A community member is experiencing an issue with the LlamaParse library, where it is returning plain text instead of an array of documents, which is breaking some functionality. The community member has tried using different settings, such as changing the language and premium mode, but the issue persists. Another community member suggests that the issue may be related to the file being processed. The community member then discovers that the issue is specifically with the "gpt-4o-mini" model, and that the issue is resolved when using the "gpt-4o" model instead.

vversa

Guys, yesterday i had llama parse returning an array of documents after parsing (as it should). Today is returning plain text and its breaking some stuff... any news on that?

Plain Text

 parser = LlamaParse(
                result_type="markdown",
                language="pt",
                premium_mode=True if mode == "premium" else False,
                split_by_page=False,
                disable_ocr=True,
                skip_diagonal_text=True,
                **parse_params,
            )

            start_parse = timer()

            file_extractor = {".pdf": parser}
            documents = SimpleDirectoryReader(
                input_files=[file_path], file_extractor=file_extractor
            ).load_data()

4 comments

WWhiteFang_Jr

@Sacha Bron could you please take a look into this🙏

vversa

actually it is working for other PDFs, just ignore it for now, i'll try to get more info

WWhiteFang_Jr

I see, maybe there is some issue in your file?

vversa

Got it!

Plain Text

print("Parsing nodes...")
            node_parser = MarkdownElementNodeParser(
                llm=llama_utils.create_openai_llm(model="gpt-4o-mini"), num_workers=8
            )
            nodes = node_parser.get_nodes_from_documents(documents)
            print("Nodes parsed")

for some reason gpt-4o-mini response is causing this error... it is working with gpt-4o

Sorry about that

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