# /mnt/data/streamlit_app.py
"""
Streamlit application setup for generating German medical content.
This setup includes placeholders for querying clinical illnesses and analyzing medical data.
"""

# Importing necessary libraries
import streamlit as st

# Application title
st.title("German Medical Content Generator")

# Section for querying clinical illnesses
st.header("Clinical Illness Query")
illness_query = st.text_input("Enter a clinical illness to define:")
if st.button("Get Definition"):
    st.write("Placeholder for clinical illness definition results.")

# Section for medical data analysis
st.header("Medical Data Analysis")
data_input = st.text_area("Enter medical data for analysis:")
if st.button("Analyze Data"):
    st.write("Placeholder for data analysis results.")

# Placeholder for LLM Integration
# This is where the integration with the LLM will be implemented in future updates.

# Displaying instructions and information
st.sidebar.header("Instructions")
st.sidebar.markdown("""
- **Clinical Illness Query**: Enter the name of a clinical illness to receive a definition and related information.
- **Medical Data Analysis**: Input medical data to generate insights or relevant content.
- Use the buttons to trigger content generation or analysis.
""")

# Note: This code is the initial setup and does not include the actual LLM integration or content generation logic.