Image Reader AI w/ Llama3.2-Vision | Ollama & Streamlit
🔗 Links
Github: https://github.com/curiositydataanaly...
In this video, we explore the capabilities of the Llama3.2-Vision model and how you can use it to extract content from images within a Streamlit app.
📝 Topics covered in this video:
Setting up Streamlit with a file uploader for image input
Transforming images into base64 encoding for LLM processing
Utilizing the LLAMA Vision model for:
Description: Generate detailed image descriptions
Extraction: Extract text and key elements from images
Summarization: Create concise summaries of extracted information
Real-world testing on various image types: logos, receipts, invoices, articles, and graphs
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