Update app.py

app.py

@@ -1,42 +1,46 @@
 import streamlit as st
 import pandas as pd
+import plotly.graph_objects as go
+import time
 
 # Title of the Application
-st.title("Textile Lifecycle Footprint Calculator")
-st.markdown("""
-This tool calculates the **Water**, **Energy**, and **Carbon Footprints** for textile products dynamically.  
-Provide product and lifecycle inputs to get precise results based on the dataset.
-""")
+st.set_page_config(page_title="GreenLens-AI", layout="wide")
+st.markdown("<h1 style='text-align: center; color: #4CAF50;'>GreenLens-AI</h1>", unsafe_allow_html=True)
+st.markdown(
+    """
+    <p style='text-align: center; color: #4CAF50; font-size: 18px;'>
+    Analyze the Water, Energy, and Carbon Footprints of Textile Products for a Sustainable Future 🌍
+    </p>
+    """, unsafe_allow_html=True)
 
 # Sidebar for User Inputs
 st.sidebar.header("Input Product Details")
 
-# Product-specific inputs
-product_type = st.sidebar.selectbox("Product Type", ["T-shirt", "Jeans", "Shirt", "Carpet"])
+# Input Section: Product-Specific Inputs
+product_type = st.sidebar.selectbox("Product Type", ["T-shirt", "Jeans", "Shirt", "Carpet"], index=0)
 product_weight = st.sidebar.number_input("Product Weight (kg)", min_value=0.01, step=0.01, value=0.25)
 
-# Fiber composition (in %)
+# Fiber Composition Input
 st.sidebar.subheader("Material Composition (%)")
-cotton_percent = st.sidebar.slider("Cotton (%)", 0, 100, 50)
-polyester_percent = st.sidebar.slider("Polyester (%)", 0, 100, 30)
-nylon_percent = st.sidebar.slider("Nylon (%)", 0, 100, 10)
-acrylic_percent = st.sidebar.slider("Acrylic (%)", 0, 100, 5)
-viscose_percent = st.sidebar.slider("Viscose (%)", 0, 100, 5)
-
-# Validation check: Percentages must add up to 100%
-total_percentage = cotton_percent + polyester_percent + nylon_percent + acrylic_percent + viscose_percent
-if total_percentage != 100:
-    st.sidebar.warning("Material composition percentages must sum up to 100.")
-
-# Lifecycle inputs
+st.sidebar.markdown("Enter the composition manually (sum to 100%) or use default values:")
+
+# Create a DataFrame for interactive input
+default_composition = {'Cotton': 50, 'Polyester': 30, 'Nylon': 10, 'Acrylic': 5, 'Viscose': 5}
+fiber_df = pd.DataFrame.from_dict(default_composition, orient='index', columns=['Percentage'])
+fiber_df = st.sidebar.experimental_data_editor(fiber_df, num_rows="fixed", key="fiber_editor")
+
+if fiber_df['Percentage'].sum() != 100:
+    st.sidebar.error("The total of all fiber percentages must equal 100%.")
+
+# Lifecycle Inputs
 st.sidebar.header("Lifecycle Details")
 washing_cycles = st.sidebar.number_input("Number of Washing Cycles", min_value=0, step=10, value=30)
 washing_temperature = st.sidebar.selectbox("Washing Temperature", ["Cold", "30°C", "40°C", "60°C"])
 use_dryer = st.sidebar.checkbox("Use Tumble Dryer?")
-transport_mode = st.sidebar.selectbox("Transport Mode", ["Plane", "Ship", "Train", "Truck"])
+transport_mode = st.sidebar.selectbox("Transport Mode", ["Plane", "Ship", "Train", "Truck"], index=1)
 transport_distance = st.sidebar.number_input("Transport Distance (km)", min_value=0, step=50)
 
-# Fiber Impact Data (from Parameter.pdf)
+# Fiber Impact Data
 fiber_impact_data = {
     "Cotton": {"Water": 10000, "Energy": 60, "Carbon": 3.18},
     "Polyester": {"Water": 62, "Energy": 125, "Carbon": 4.8},
@@ -96,18 +100,18 @@ user_inputs = {
     "use_dryer": use_dryer,
 }
 
-# Composition dictionary
-composition = {
-    "Cotton": cotton_percent,
-    "Polyester": polyester_percent,
-    "Nylon": nylon_percent,
-    "Acrylic": acrylic_percent,
-    "Viscose": viscose_percent,
-}
+# Collect the composition dictionary
+composition = fiber_df['Percentage'].to_dict()
 
-# Perform calculations
-if total_percentage == 100:
-    # Perform footprint calculation
+# Run Calculations and Display Progress Bar
+if fiber_df['Percentage'].sum() == 100:
+    progress_text = "Calculating Footprints..."
+    progress_bar = st.progress(0)
+    for i in range(1, 101):
+        time.sleep(0.01)
+        progress_bar.progress(i, text=progress_text)
+
+    # Call the calculation function
     water_fp, energy_fp, carbon_fp = calculate_footprints(product_weight, composition, user_inputs)
 
     # Display results
@@ -117,6 +121,19 @@ if total_percentage == 100:
         - **Energy Footprint**: {energy_fp:.2f} MJ  
         - **Carbon Footprint**: {carbon_fp:.2f} kgCO2e  
     """)
-else:
-    st.warning("Ensure that the material composition sums up to 100%.")
 
+    # 3D Visualization
+    fig = go.Figure()
+    fig.add_trace(go.Bar(x=["Water Footprint", "Energy Footprint", "Carbon Footprint"],
+                         y=[water_fp, energy_fp, carbon_fp],
+                         text=[f"{water_fp:.2f} L", f"{energy_fp:.2f} MJ", f"{carbon_fp:.2f} kgCO2e"],
+                         textposition='auto',
+                         marker=dict(color=["blue", "orange", "green"])))
+    fig.update_layout(title="Footprint Breakdown (3D Visualization)", 
+                      xaxis_title="Footprint Type", 
+                      yaxis_title="Footprint Value",
+                      template="plotly_dark")
+    st.plotly_chart(fig)
+
+else:
+    st.error("Ensure that the material composition sums up to 100%.")