| import streamlit as st |
|
|
| st.set_page_config( |
| page_title="UAP Analytics", |
| page_icon="🛸", |
| layout="wide", |
| initial_sidebar_state="expanded", |
| ) |
|
|
| from PIL import Image |
| import base64 |
|
|
| def get_base64_of_bin_file(bin_file): |
| with open(bin_file, 'rb') as f: |
| data = f.read() |
| return base64.b64encode(data).decode() |
|
|
| def set_png_as_page_bg(png_file): |
| bin_str = get_base64_of_bin_file(png_file) |
| page_bg_img = ''' |
| <style> |
| .stApp { |
| background-image: url("data:image/png;base64,%s"); |
| background-size: cover; |
| } |
| </style> |
| ''' % bin_str |
| st.markdown(page_bg_img, unsafe_allow_html=True) |
|
|
|
|
| |
| |
|
|
| |
| |
| st.sidebar.toggle( |
| 'Apply SCU normalization to parsed data', |
| value=False, |
| key='scu_normalize_enabled', |
| help=( |
| 'When enabled, the UAP Feature Extraction page runs the SCU v2 ' |
| 'normalizer on parsed results — canonicalising countries, states, ' |
| 'witness roles and craft fields, and deriving the SCU five-criterion ' |
| 'eligibility gate. Adds a normalized CSV and audit report to download.' |
| ), |
| ) |
|
|
| pg = st.navigation([ |
| st.Page("preprocessing.py", title="Document Preprocessing (Scrape → OCR → Reports → Table)", icon="🧪"), |
| st.Page("rag_search.py", title="Smart-Search (Retrieval Augmented Generations)", icon="🔍"), |
| st.Page("parsing.py", title="UAP Feature Extraction (Shape, Speed, Color)", icon="📄"), |
| st.Page("analyzing.py", title="Statistical Analysis (UMAP+HDBSCAN, XGBoost, V-Cramer)", icon="🧠"), |
| st.Page("magnetic.py", title="Magnetic Anomaly Detection (InterMagnet Stations)", icon="🧲"), |
| st.Page("map.py", title="Interactive Map (Tracking variations, Proximity with Military Bases, Nuclear Facilities)", icon="🗺️"), |
| st.Page("pdf_ocr.py", title="PDF OCR — Table Extractor (LightOnOCR)", icon="📑"), |
| ]) |
| pg.run() |
|
|
