import streamlit as st import streamlit.components.v1 as components from pathlib import Path import base64 from data_loader import get_all_sections import random import re ALL_CARDS = [ ("Composites", "Material class", "material", "Composites"), ("Polymers", "Material class", "material", "Polymers"), ("Fibers", "Material class", "material", "Fibers"), ] sections = get_all_sections() for section in sections: ALL_CARDS.append((section, "Property type", "section", section)) if "visible_cards" not in st.session_state: random.shuffle(ALL_CARDS) st.session_state.visible_cards = ALL_CARDS[:4] VISIBLE_CARDS = st.session_state.visible_cards prop_count = len([c for c in ALL_CARDS if c[2] == "section"]) def get_card_icon(title: str, card_type: str) -> str: if card_type == "material": icons = {"composites": "🧱", "polymers": "🔬", "fibers": "🧵"} return icons.get(title.lower(), "🧱") t = title.lower() if "mechanical" in t: return "⚙️" if "thermal" in t: return "🔥" if "electrical" in t: return "⚡" if "physical" in t: return "⚖️" if "processing" in t: return "🔧" if "optical" in t: return "🔭" if "chemical" in t: return "🧪" if "flammab" in t: return "🔴" if "component" in t: return "🧩" if "descriptive" in t: return "📋" return "📋" def img_to_b64(path): try: ext = Path(path).suffix.lower().replace(".", "") mime = "png" if ext == "png" else "jpeg" with open(path, "rb") as f: data = base64.b64encode(f.read()).decode() return f"data:image/{mime};base64,{data}" except Exception: return "" home_img = img_to_b64("images/Home.png") logo_img = img_to_b64("logo.png") st.markdown(""" """, unsafe_allow_html=True ) # Global style overrides st.markdown(""" """, unsafe_allow_html=True) # Helper def go_categorized(material=None, search=None): if material: st.session_state.material_type = material if search: st.session_state.search_term = search st.switch_page("page_files/Categorized_Search.py") def go_upload(): st.switch_page("page_files/Upload_Data.py") # ══════════════════════════════════════════════════════════════════════════════ # 1. ANIMATION SECTION (pure HTML, no clickables needed) # ══════════════════════════════════════════════════════════════════════════════ about_img_html = ( f"

" if home_img else "

[ Platform diagram ]

" ) logo_html = ( f" AIM Logo

" if logo_img else "" ) components.html(f"""

From Experiment to Database

Research

Database

Collect measurements

Process & validate

Stored in AIM

""", height=700, scrolling=False) # ══════════════════════════════════════════════════════════════════════════════ # 2. HERO , heading + description (static HTML) # ══════════════════════════════════════════════════════════════════════════════ st.markdown(""" """, unsafe_allow_html=True) # ══════════════════════════════════════════════════════════════════════════════ # 5. MAJOR CATEGORIES , Streamlit columns + containers + buttons # ══════════════════════════════════════════════════════════════════════════════ st.markdown(""" """, unsafe_allow_html=True) st.markdown("

", unsafe_allow_html=True) # st.markdown(""" #

Quick Links

Open the pages you need most.

# """, unsafe_allow_html=True) quick_cards = [ ("Search", "Data Page", "page_files/Categorized_Search.py", "search", "🔎"), ("Extract Data", "Platform", "page_files/Upload_Data.py", "about", "📋"), ] col1, col2 = st.columns([5, 4], gap="large") with col1: st.markdown("""

Accelerate Your Composites Research

Access a centralized, open-source database for experimental composite material properties. Polymer, fiber, and composite datasets — all in one place.

""", unsafe_allow_html=True) with col2: st.markdown("

", unsafe_allow_html=True) cols = st.columns(2, gap="large") for col, (title, tag, target_page, key_suffix, badge) in zip(cols, quick_cards): with col: if st.button( f"{badge}\n\n{title}\n\n{tag}", key=f"quick_{key_suffix}_page", use_container_width=True, ): st.switch_page(target_page) st.markdown("

", unsafe_allow_html=True) # ══════════════════════════════════════════════════════════════════════════════ # 4. STATS (static HTML) # ══════════════════════════════════════════════════════════════════════════════ st.markdown(f"""

Material Classes

{prop_count}

Properties Tracked

Research Teams

Universities

""", unsafe_allow_html=True) # ══════════════════════════════════════════════════════════════════════════════ # 6. ABOUT + FOOTER (static HTML) # ══════════════════════════════════════════════════════════════════════════════ components.html(f"""

About the Platform

Artificially Intelligent Manufacturing Paradigm (AIM) for Composites

The AIM Database tool serves as a powerful, centralized hub designed to streamline collaboration and information exchange within the composite materials research community. The platform enables researchers to contribute to a shared knowledge base by uploading experimental datasets through secure terminals.

Users can submit specific measurements regarding mechanical properties, thermal behavior, and rheology, alongside their published journal papers , ensuring that both raw data and peer-reviewed findings are integrated into one cohesive system.

All contributed information is securely aggregated within a central cloud architecture, allowing for efficient storage, organization, and retrieval across polymer, fiber, and composite categories.

{about_img_html}

""", height=550, scrolling=False) st.markdown(""" """, unsafe_allow_html=True) brand_col, db_col, sup_col, _ = st.columns([4, 2, 2, 2], vertical_alignment="top", width="stretch") with brand_col: st.markdown(f""" """, unsafe_allow_html=True) with sup_col: st.markdown('', unsafe_allow_html=True) st.page_link( "page_files/Categorized_Search.py", label="Browse Materials", ) st.page_link( "page_files/Categorized_Search.py", label="Categorized Search", ) st.page_link( "page_files/Upload_Data.py", label="Upload Data", ) with _: st.markdown('', unsafe_allow_html=True) st.page_link( "page_files/Contact_Team.py", label="Contact Team", )