How do I Upload Image from Deka Drive to Streamlit?

[vinlee1030]

I tried to import an image from Deka Drive to Streamlit using the following method:

In Database.py file:

def fetch_notes(fn):
      res = photos.get(fn)
      return res

In Main.py file:

        if submitted:
            # Get data from database
            photos = db.fetch_notes("HS Degree Diploma.jpg")            
            st.image(photos)

And when I clicked the "Submit" button, the following error is what comes out. 😭
How do I change the format of the image into the one that Streamlit accepts?

### AttributeError: 'DriveStreamingBody' object has no attribute 'format'

Traceback:
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
exec(code, module.dict)
File "C:\Users\ericn\PycharmProjects\MyAPP124\main.py", line 167, in
st.image(large_file)
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\runtime\metrics_util.py", line 311, in wrapped_func
result = non_optional_func(*args, **kwargs)
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\elements\image.py", line 148, in image
marshall_images(
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\elements\image.py", line 518, in marshall_images
proto_img.url = image_to_url(
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\elements\image.py", line 395, in image_to_url
image_format = _validate_image_format_string(image_data, output_format)
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\elements\image.py", line 200, in _validate_image_format_string
if _image_is_gif(pil_image):
File "c:\users\ericn\pycharmprojects\myapp124\venv\lib\site-packages\streamlit\elements\image.py", line 174, in _image_is_gif
return bool(image.format == "GIF")

Thank you for your response in advance!!! 😸

[vinlee1030]

Never mind. I solved it!
It had something to do with not uploading the image bytes_data to Deta correctly, which made a chaos when I tried to retrieve it from Deta!