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curl -L -o streamlit_app.py https://huggingface.co/spaces/Dnasd/CHBL_Process/resolve/main/src/streamlit_app.py
3.91 kB
| import streamlit as st | |
| import pandas as pd | |
| import numpy as np | |
| import math | |
| # CHBL Streamlit Application for Data Visualization (Secure Version) | |
| st.set_page_config(layout="wide") | |
| st.title("🌌 CHBL v1.9.2: Quantum-Anchored Data Visualization") | |
| st.subheader("High-Density Hierarchical Data Compression & Deterministic Anchoring") | |
| st.markdown(""" | |
| This application demonstrates key concepts of the CHBL (Contextual Hashed Blockchain Language) | |
| system, showcasing its principles of data compression, deterministic anchoring, and quantum-relativistici fidelity. | |
| """) | |
| # --- Data Simulation --- | |
| st.header("1. Node Activity & Compression Efficiency") | |
| num_nodes = st.slider("Select number of active nodes (Lattice Layers)", 50, 500, 200) | |
| compression_ratio = st.slider("Simulated Compression Ratio (e.g., Message Packing Efficiency)", 1.0, 10.0, 6.0, 0.1) | |
| # Generate mock data | |
| data = { | |
| 'Node ID': range(1, num_nodes + 1), | |
| 'Activity Level': np.random.rand(num_nodes) * 100, | |
| 'Compressed Data Size (KB)': (np.random.rand(num_nodes) * 100) / compression_ratio, | |
| 'Original Data Size (KB)': np.random.rand(num_nodes) * 100 | |
| } | |
| df = pd.DataFrame(data) | |
| st.write("### Simulated Node Data Overview") | |
| st.dataframe(df.head()) | |
| st.write("### Compression Ratio Distribution") | |
| st.bar_chart(df[['Compressed Data Size (KB)', 'Original Data Size (KB)']].head(20)) | |
| st.info(f"Average simulated compression achieved: **{df['Original Data Size (KB)'].sum() / df['Compressed Data Size (KB)'].sum():.2f}x**") | |
| st.header("2. Deterministic Anchoring & Temporal Stability") | |
| st.markdown(""" | |
| The CHBL system ensures data integrity and temporal consistency through deterministic anchoring. | |
| This section visualizes a simulated 'temporal drift' and the CHBL's ability to maintain a 'zero-drift' state. | |
| """) | |
| # Simulate temporal drift and correction | |
| time_points = np.linspace(0, 100, 200) | |
| raw_drift = np.sin(time_points / 5) + np.random.normal(0, 0.2, 200) | |
| chbl_corrected = np.zeros_like(raw_drift) + np.random.normal(0, 0.05, 200) # Near-zero drift | |
| drift_df = pd.DataFrame({ | |
| 'Time (Arbitrary Units)': time_points, | |
| 'Raw Temporal Drift': raw_drift, | |
| 'CHBL Zero-Drift State': chbl_corrected | |
| }) | |
| st.line_chart(drift_df.set_index('Time (Arbitrary Units)')) | |
| st.info("CHBL maintains bit-perfect continuity across extended temporal spans with near-zero variance.") | |
| st.header("3. Quantum-Relativistic Fidelity") | |
| st.markdown(""" | |
| Visualizing the effect of relativistic processing on the precision floor, | |
| a core aspect of CHBL's quantum fidelity. | |
| """) | |
| # Simulate Lorentz contraction effect on precision | |
| velocities = np.linspace(0.0, 0.999, 100) # v/c | |
| lorentz_factor = 1 / np.sqrt(1 - velocities**2) | |
| baseline_precision = 0.3889 # picometers | |
| relativistic_precision = baseline_precision / lorentz_factor | |
| precision_df = pd.DataFrame({ | |
| 'Velocity (v/c)': velocities, | |
| 'Lattice Precision (pm)': relativistic_precision | |
| }) | |
| st.line_chart(precision_df.set_index('Velocity (v/c)')) | |
| st.info(f"At 0.99c, the precision floor is contracted to approximately **{relativistic_precision[-1]:.4f} pm**, enabling extreme data density.") | |
| # --- NEW SECTION 5: Raw Text Analysis --- | |
| st.header("5. Raw Text Analysis") | |
| st.markdown(""" | |
| Enter any text below to perform a simple character and word count. | |
| """) | |
| user_text_input = st.text_area("Input Text", height=150, placeholder="Type or paste your text here...") | |
| if st.button("Analyze Text"): | |
| if user_text_input: | |
| char_count = len(user_text_input) | |
| word_count = len(user_text_input.split()) | |
| st.write("### Analysis Results") | |
| st.write(f"**Characters (including spaces):** {char_count}") | |
| st.write(f"**Words:** {word_count}") | |
| st.write("### Original Text") | |
| st.code(user_text_input, language="text") | |
| else: | |
| st.warning("Please enter some text to analyze.") | |
| st.markdown(""" | |
| --- | |
| """) | |
| st.caption("CHBL Framework v1.9.2 - For Peer Review") | |