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Create app.py
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app.py
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# /mnt/data/streamlit_app.py
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"""
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Streamlit application setup for generating German medical content.
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This setup includes placeholders for querying clinical illnesses and analyzing medical data.
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"""
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# Importing necessary libraries
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import streamlit as st
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# Application title
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st.title("German Medical Content Generator")
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# Section for querying clinical illnesses
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st.header("Clinical Illness Query")
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illness_query = st.text_input("Enter a clinical illness to define:")
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if st.button("Get Definition"):
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st.write("Placeholder for clinical illness definition results.")
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# Section for medical data analysis
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st.header("Medical Data Analysis")
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data_input = st.text_area("Enter medical data for analysis:")
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if st.button("Analyze Data"):
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st.write("Placeholder for data analysis results.")
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# Placeholder for LLM Integration
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# This is where the integration with the LLM will be implemented in future updates.
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# Displaying instructions and information
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st.sidebar.header("Instructions")
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st.sidebar.markdown("""
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- **Clinical Illness Query**: Enter the name of a clinical illness to receive a definition and related information.
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- **Medical Data Analysis**: Input medical data to generate insights or relevant content.
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- Use the buttons to trigger content generation or analysis.
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""")
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# Note: This code is the initial setup and does not include the actual LLM integration or content generation logic.
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