wehub-resource-sync
64 lines
2.4 KiB
Python
64 lines
2.4 KiB
Python
import streamlit as st
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import ollama
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from PIL import Image
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import io
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# Page configuration
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st.set_page_config(
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page_title="Llama OCR",
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page_icon="🦙",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# Title and description in main area
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st.title("🦙 Llama OCR")
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# Add clear button to top right
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col1, col2 = st.columns([6,1])
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with col2:
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if st.button("Clear 🗑️"):
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if 'ocr_result' in st.session_state:
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del st.session_state['ocr_result']
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st.rerun()
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st.markdown('<p style="margin-top: -20px;">Extract structured text from images using Llama 3.2 Vision!</p>', unsafe_allow_html=True)
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st.markdown("---")
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# Move upload controls to sidebar
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with st.sidebar:
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st.header("Upload Image")
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uploaded_file = st.file_uploader("Choose an image...", type=['png', 'jpg', 'jpeg'])
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if uploaded_file is not None:
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# Display the uploaded image
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded Image")
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if st.button("Extract Text 🔍", type="primary"):
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with st.spinner("Processing image..."):
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try:
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response = ollama.chat(
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model='llama3.2-vision',
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messages=[{
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'role': 'user',
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'content': """Analyze the text in the provided image. Extract all readable content
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and present it in a structured Markdown format that is clear, concise,
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and well-organized. Ensure proper formatting (e.g., headings, lists, or
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code blocks) as necessary to represent the content effectively.""",
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'images': [uploaded_file.getvalue()]
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}]
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)
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st.session_state['ocr_result'] = response.message.content
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except Exception as e:
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st.error(f"Error processing image: {str(e)}")
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# Main content area for results
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if 'ocr_result' in st.session_state:
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st.markdown(st.session_state['ocr_result'])
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else:
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st.info("Upload an image and click 'Extract Text' to see the results here.")
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# Footer
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st.markdown("---")
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st.markdown("Made with ❤️ using Llama Vision Model2 | [Report an Issue](https://github.com/patchy631/ai-engineering-hub/issues)") |