src/streamlit_app.py

import streamlit as st
import pandas as pd
import json
from pathlib import Path
from PIL import Image, ImageOps


st.set_page_config(layout="centered")



st.markdown(
    """
    <style>
    .aim-section {
            background-color: #f4f7fb;
            color: #1f2937;
            padding: 30px;
            border-radius: 12px;
            line-height: 1.6;
        }
    </style>
    <div class="aim-section">

    <h1 style='text-align: center;'>AIM EFRC InDeS</h1>

    </div>
    """,
    unsafe_allow_html=True
)
st.write("")

col1, col2, col3 = st.columns([1, 2, 1])

with col2:
    st.image("src/images/images/Home.png", width=700)
    
st.write("")
st.markdown(
    """
    <style>
    
    .aim-subheading {
        font-size: 26px;
        font-weight: 600;
        margin-top: 25px;
        margin-bottom: 15px;
        
    }
    </style>

    

   

    <div class="aim-subheading">
    Artificially Intelligent Manufacturing Paradigm (AIM) for Composites
    </div>

    <p>
    The AIM Database tool serves as a powerful, centralized hub designed to streamline collaboration and information
    exchange within the composite materials research community. As illustrated in the diagram, the platform enables
    researchers to actively contribute to a shared knowledge base by directly uploading vital 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.
    </p>

   

    <p>
    All contributed information is securely aggregated within a central cloud architecture, allowing for efficient storage,
    organization, and retrieval by authorized users. The database is structured to comprehensively manage data across
    essential material categories, specifically organizing inputs into distinct clusters for polymer data, fiber data,
    and final composite data. By consolidating these diverse resources into a single accessible location, the AIM 
    Database tool empowers scientists to cross-reference findings, avoid duplicating efforts, and ultimately accelerate 
    innovation in the development of advanced materials.    
    </p>

    
    """,
    unsafe_allow_html=True
)


BASE = Path(__file__).resolve().parent
IMG_DIR = BASE / "images" / "images"
TARGET_SIZE = (213, 310)

def fixed_image(name):
    img = Image.open(IMG_DIR / name).convert("RGB")
    return ImageOps.fit(img, TARGET_SIZE, Image.LANCZOS, centering=(0.5, 0.5))

# Title
c1, c2, c3 = st.columns([1, 2, 1])
with c2:
    st.subheader("Team Members")

# ---------- ROW 1 (3 members) ----------
col1, col2, col3 = st.columns(3)

with col1:
    st.image(fixed_image("GangLi.jpg"))
    st.markdown("""
    **Gang Li**  
    Professor of Mechanical Engineering, Clemson University  
    gli@clemson.edu
    """)
    
with col2:
    st.image(fixed_image("Mathias.jpeg"))
    st.markdown("""
    **Heider, Mathias**  
    Research Assistant - CSE PhD Student  
    University of Delaware  
    mheider@udel.edu
    """)
    
with col3:
    st.image(fixed_image("Abhijit.jpg"))
    st.markdown("""
    **Abhijit Varanasi**  
    Lab Specialist - Clemson University  
    MFA Graduate, Clemson University  
    BE - CSE  
    avarana@clemson.edu
    """)



st.write("")

# ---------- ROW 2 (2 members, centered) ----------
sp1, col4, sp2, col5, sp3 = st.columns([1, 3, 1, 3, 1])


with col4:
    st.image(fixed_image("Tejaswi.jpeg"))
    st.markdown("""
    **Tejaswi Gudimetla**  
    Lab Aide - Clemson University  
    vgudime@clemson.edu
    """)
    
with col5:
    st.image(fixed_image("Pradeep.jpg"))
    st.markdown("""
    **Sai Aditya Pradeep**  
    Research and Development Engineer, University of Delaware  
    spradeep@udel.edu
    """)


        


st.sidebar.write("")
st.sidebar.write("")
st.sidebar.write("")
st.sidebar.write("")
st.sidebar.write("")
st.sidebar.write("")
st.sidebar.write("")
st.sidebar.write("")