import streamlit as st

# Set the title of the Streamlit app
st.title("CodeBlast Dream Catcher")

# Display the content
content = """
**CodeBlast Dream Catcher** proposes an alternative approach for searching multidimensional space for knowledge based on the following principles:

1. An "all possible combinations space" exists in multidimensional space where one doesn't create knowledge but discovers it.
2. This multidimensional space is best searched with LLMs using goals, as goals carry the recipes for accomplishing them.
3. There exists a multidimensional "all possible" goal space consisting of interconnected goals resembling a graph.
4. This multidimensional goals space can best be searched by remapping it to the 2D Infinite Canvas proposed in the LabLab.ai Build Your Business StartUp Hackathon's "Navigating the Infinite Plane".
5. The infinite canvas can be created using a 50256 base number system derived from the GPT-2 tokenization labels.
6. To avoid the costly computational expense of base number conversion, hidden and unhidden states are created in the 2D infinite plane.
7. These hidden and unhidden states correspond to the conscious and unconscious mind, proposing that the human brain uses a similar mechanism to avoid the heavy cost of base number conversion.
8. Thus, searching for knowledge becomes a simple mapping problem in 2D and 1D space using both hidden and unhidden states.
"""

st.markdown(content)