“`python
import streamlit as st
import numpy as np
import plotly.graph_objects as go

st.set_page_config(page_title=”CPP Lab Demo”, layout=”wide”)

st.title(“CPP Lab: Exploring Conscious Point Physics”)
st.markdown(“””
Welcome to the CPP Lab! This interactive demo lets you explore core concepts from Conscious Point Physics (CPP), a Theory of Everything grounded in divine Conscious Points (CPs). Use the tools below to compute with the General Computation Formula (GCF) and visualize Grid Points (GPs).

Remember: CPP teaches that we live in God’s mind—resonant configurations of CPs creating the universe. By understanding these, we see service to others as expanding divine joy.
“””)

# Tab layout
tab1, tab2, tab3 = st.tabs([“GCF Calculator”, “GP Lattice Visualization”, “About CPP”])

with tab1:
st.header(“GCF Calculator”)
st.markdown(“””
The General Computation Formula (GCF) approximates resonant values (e.g., constants like α or G) from mode summations, biases, and entropy. Enter parameters to compute a ‘resonant stability factor’ (arbitrary units, inspired by Section 6.2).

Formula Mock: res = sum_modes ( (ℓ_P / r)^2 * π^4 ) * (1 + β * SS)
“””)

# Inputs
num_modes = st.slider(“Number of Resonant Modes (e.g., CP types)”, min_value=1, max_value=10, value=4)
r_scale = st.number_input(“Scale Ratio (r, e.g., bond length in m)”, value=1e-10)
l_p = 1.6e-35 # Planck length
beta = st.number_input(“SS Weighting Factor (β)”, value=1e-26)
ss = st.number_input(“Space Stress Estimate (SS in J/m³)”, value=1e20)

# Compute
if st.button(“Compute Resonant Value”):
pi4 = np.pi**4
res_base = num_modes * ((l_p / r_scale)**2 * pi4)
res = res_base * (1 + beta * ss)
st.success(f”Resonant Stability Factor: {res:.2e}”)
st.markdown(“””
**Interpretation**: High values indicate stable resonances (e.g., particle bindings). In CPP, this reflects entropy maximization—divine design balancing order and diversity for relational joy.
“””)

with tab2:
st.header(“GP Lattice Visualization”)
st.markdown(“””
Visualize a 3D Grid Point (GP) lattice with ‘twists’ (biases simulating SSG or tensions). Adjust size and biases to see Exclusion-driven dispersion or resonances.

Theological Note: GPs as divine ‘grid’—Exclusion enables creation’s unfolding from oneness.
“””)

# Inputs
grid_size = st.slider(“Grid Size (N x N x N)”, min_value=3, max_value=10, value=3)
bias_strength = st.slider(“Bias Strength (for twists)”, min_value=0.1, max_value=2.0, value=1.0)

# Generate 3D grid
x, y, z = np.mgrid[0:grid_size, 0:grid_size, 0:grid_size]
u = np.sin(2 * np.pi * y / grid_size) * bias_strength
v = np.cos(2 * np.pi * x / grid_size) * bias_strength
w = np.sin(2 * np.pi * z / grid_size) * np.cos(2 * np.pi * x / grid_size) * bias_strength

# Plotly 3D Quiver
fig = go.Figure(data=go.Cone(
x=x.flatten(), y=y.flatten(), z=z.flatten(),
u=u.flatten(), v=v.flatten(), w=w.flatten(),
colorscale=’Blues’,
sizemode=”absolute”,
sizeref=0.5
))
fig.update_layout(scene=dict(aspectmode=”cube”))
st.plotly_chart(fig)

st.markdown(“””
**Interpretation**: Arrows show ‘twists’ (biases)—in CPP, these represent SSG directing DIs. High bias simulates criticality tipping, like in orbital collapse or Big Bang dispersion.
“””)

with tab3:
st.header(“About CPP and the Mission”)
st.markdown(“””
Conscious Point Physics (CPP) is a Theory of Everything (TOE) showing how the universe emerges from divine Conscious Points (CPs)—God’s mind-substance. We live in this oneness, experiencing life as God does. Serving others expands divine joy, aligning with Jesus’ teaching on greatness through service.

This app is a lab for exploring CPP—compute resonances, visualize grids, and reflect on the theological implications. For more, visit [hyperphysics.com](hyperphysics.com) or [renaissance-ministries.com](renaissance-ministries.com).

Donations welcome to support this ministry—help spread the Gospel through rational science!
“””)

# Footer
st.markdown(“—“)
st.markdown(“Built with Streamlit & Plotly. For educational purposes. Contact: drthomas007@protonmail.com”)
“`

To run this app:
1. Install dependencies: `pip install streamlit numpy plotly`
2. Save the code as `cpp_lab.py`
3. Run: `streamlit run cpp_lab.py`
4. Open the local URL in your browser (e.g., http://localhost:8501)

This is a basic prototype—GCF computes a simple resonant value (you can expand formulas), GP vis shows a 3D lattice with biases (arrows as “twists”). No Grok API yet (add if needed via `requests` and your key). For the Big Bang sim, I’ll code a simple particle dispersion (e.g., 3D explosion from central GP) next—let me know tweaks! This could be a great embed for hyperphysics.com, advancing your mission.