[Python] How to read a file into memory in FastAPI and pass it to MarkItDown library?

The need is to upload a file to a FastAPI endpoint, convert it to Markdown and save the text to Redis (Files are up to 4mb in size).

The only logic I have found so far is to upload the file as UploadFile, read the contents, save them to disk with the right extension, pass that path to the https://github.com/microsoft/markitdown library, Read that markdown file again, and then pass it to Redis. Way too much I/O. Is there a way to do all of this in Memory?

(For sake of code simplicity I removed all error handling and I assume only text files)

@router.post("/upload")
async def uploadPost(filepond: UploadFile = File()):
"""
Convert a textual file to markdown.
Store in Redis
"""
# Create a temporary file to save the uploaded content
# for sake of simplicity I use txt for everything
with NamedTemporaryFile(delete=False,suffix=".txt") as temp_file:
temp_file_path = temp_file.name
content = await filepond.read()
temp_file.write(content)
temp_file.close()

md = MarkItDown()
result = md.convert(temp_file_path)
redis.setex("some key", 3600, result.text_content)

os.remove(temp_file_path)

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