Update app.py

app.py

@@ -1,10 +1,11 @@
 import streamlit as st
 import pandas as pd
 import plotly.express as px
+import plotly.graph_objects as go
 
 # Add custom CSS for the background
 def add_background():
-    background_url = "https://huggingface.co/spaces/ZainMalik0925/GreenLensAI_LCA/resolve/main/BCK1.jpg"
+    background_url = "https://huggingface.co/spaces/ZainMalik0925/GreenLensAI_LCA/resolve/main/BCK2.jpg"
     css = f"""
     <style>
     .stApp {{
@@ -118,9 +119,11 @@ def style_figure(fig):
         plot_bgcolor="rgba(0,0,0,0.8)",  # 20% transparency
         paper_bgcolor="rgba(0,0,0,0.8)",  # 20% transparency
         font=dict(color="white"),  # Font color set to white
-        legend=dict(font=dict(color="white"))  # Set legend text to white
+        title_font=dict(size=18, color="white"),  # Title font white
+        xaxis=dict(title_font=dict(color="white"), tickfont=dict(color="white")),
+        yaxis=dict(title_font=dict(color="white"), tickfont=dict(color="white"))
     )
-    fig.update_traces(marker_color="white")  # Change bar color to white
+    fig.update_traces(marker=dict(color="white", line=dict(color="gray", width=1)))  # Simulate 3D effect with border
     return fig
 
 # Main application logic
@@ -143,8 +146,8 @@ if fiber_impact_data and transport_impact_data and washing_impact_data:
 
         # Display numerical comparison
         st.subheader("Numerical Comparison")
-        st.write(f"**Assessment 1**: Water: {water1:.2f} kL, Energy: {energy1:.2f} MJ, Carbon: {carbon1:.2f} kg CO2e")
-        st.write(f"**Assessment 2**: Water: {water2:.2f} kL, Energy: {energy2:.2f} MJ, Carbon: {carbon2:.2f} kg CO2e")
+        st.markdown(f"<p style='color: white;'>**Assessment 1**: Water: {water1:.2f} kL, Energy: {energy1:.2f} MJ, Carbon: {carbon1:.2f} kg CO2e</p>", unsafe_allow_html=True)
+        st.markdown(f"<p style='color: white;'>**Assessment 2**: Water: {water2:.2f} kL, Energy: {energy2:.2f} MJ, Carbon: {carbon2:.2f} kg CO2e</p>", unsafe_allow_html=True)
 
         # Bar chart comparison
         comparison_data = pd.DataFrame({
@@ -168,9 +171,9 @@ if fiber_impact_data and transport_impact_data and washing_impact_data:
 
         # Display results
         st.subheader("Single Assessment Results")
-        st.markdown(f"- **Water Footprint**: {water:.2f} kL")
-        st.markdown(f"- **Energy Footprint**: {energy:.2f} MJ")
-        st.markdown(f"- **Carbon Footprint**: {carbon:.2f} kg CO2e")
+        st.markdown(f"<p style='color: white;'>- **Water Footprint**: {water:.2f} kL</p>", unsafe_allow_html=True)
+        st.markdown(f"<p style='color: white;'>- **Energy Footprint**: {energy:.2f} MJ</p>", unsafe_allow_html=True)
+        st.markdown(f"<p style='color: white;'>- **Carbon Footprint**: {carbon:.2f} kg CO2e</p>", unsafe_allow_html=True)
 
         # Bar chart for single assessment
         result_data = pd.DataFrame({