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Thanks, will do!

Thank you! Appreciate your comment and encouragement.

Assuming you are using the non-VertexAI code then it's basically taking your 3 docs and stitching them together. if uploaded_files: text = "" for pdf in uploaded_files: pdf_reader = PdfReader(pdf) for page in pdf_reader.pages: text += page.extract_text() As good as Gemini 1.5 is, given how these docs are stitched it may provide response from 2 of the 3 reports. Try prompting like: what is said about the economy in each of the reports? break it down by each report. Providing the instruction to break it down by each report works for me, also perhaps try break it down by each of the 3 reports. Hope this helps.

me 2

You just need to create a directory and make it copy the image in there and then pass that directory and it works just fine

this was a work around i did to overcome the streamlit's file uploader. so, fpath is just the file name extracted when you upload the file/image. fpath2 is you providing the directory of the location of the images. fpath3 just puts together fpath2 and fpath. if the image i upload is bigcat.jpg, it's assigned to fpath. and if the directory where this image is located is /users/johndoe/images then fpath2 is equal to this directory. then, fpath3 puts these 2 things together so fpath3 would /users/johndoe/images/bigcat.jpg. i know it's confusing, if someone (which i know someone will) comes up with a more direct way to do it, please let us know. hope this helps.

Set stream=True when calling for the response. Something like: response = model.generate_content([prompt], generation_config, stream=True). Hope this helps.