import streamlit as st

# Title and description
st.title("WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0 🚀")
st.write("This Space showcases WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0, a powerful [**insert short description of your project here**].")

# User input section with clear instructions
st.header("Interact with the Model")
user_input = st.text_input("Enter your input here (e.g., text, image, code snippet)", key="user_input")

# Optional: Input validation or guidance based on your project's requirements
# You can use libraries like validators or custom logic to check input validity

# Model processing and results section (replace with your specific logic)
if st.button("Run Model"):
    if user_input:
        # Simulate model processing (replace with actual model call)
        processing_text = f"Processing your input: {user_input}..."
        st.info(processing_text)
        import time
        time.sleep(2)  # Simulate processing time

        # Display model output (replace with your model's output format)
        output_text = "This is a sample model output based on your input."
        st.success(output_text)
    else:
        st.warning("Please enter some input to proceed.")

# Additional sections for visualizations, explanations, or other functionalities (optional)
# You can use Streamlit charts, images, and text to enhance user experience

# Streamlit provides a variety of UI components like sliders, checkboxes, and radio buttons.
# Choose the ones that best suit your project's interaction needs.

# Emphasize clear explanations and informative messages throughout the app.