Update app.py

app.py

@@ -23,11 +23,11 @@ st.set_page_config(page_title="GreenLens AI", layout="wide")
 # Call the background function to load the background silently
 add_background()
 
-# Title and subtitle
-st.markdown("<h1 style='text-align: center; color: #4CAF50;'>GreenLens AI</h1>", unsafe_allow_html=True)
+# Title and subtitle with updated color
+st.markdown("<h1 style='text-align: center; color: white;'>GreenLens AI</h1>", unsafe_allow_html=True)
 st.markdown(
     """
-    <p style='text-align: center; color: #4CAF50; font-size: 18px;'>
+    <p style='text-align: center; color: white; font-size: 18px;'>
     A Comprehensive Tool for Assessing Water, Energy, and Carbon Footprints of Textile Products 🌍
     </p>
     """,
@@ -55,7 +55,6 @@ def process_dataset(url):
         st.error(f"Error loading dataset: {e}")
         return None, None, None
 
-
 # Calculate footprints
 def calculate_footprints(weight, composition, lifecycle_inputs):
     water_fp, energy_fp, carbon_fp = 0, 0, 0
@@ -83,7 +82,6 @@ def calculate_footprints(weight, composition, lifecycle_inputs):
     water_fp /= 1000  # Convert water from liters to kiloliters
     return water_fp, energy_fp, carbon_fp
 
-
 # Sidebar inputs
 def get_inputs(prefix):
     weight = st.sidebar.number_input(f"{prefix} Product Weight (kg)", min_value=0.0, value=0.0, step=0.01, key=f"{prefix}_weight")
@@ -114,6 +112,14 @@ def get_inputs(prefix):
     }
     return weight, composition, lifecycle_inputs
 
+# Adjust graph transparency
+def style_figure(fig):
+    fig.update_layout(
+        plot_bgcolor="rgba(0,0,0,0.3)",  # 30% transparent black
+        paper_bgcolor="rgba(0,0,0,0.3)",  # 30% transparent black
+        font=dict(color="white")  # Set font color to white for better visibility
+    )
+    return fig
 
 # Main application logic
 fiber_impact_data, transport_impact_data, washing_impact_data = process_dataset(DATASET_URL)
@@ -151,7 +157,7 @@ if fiber_impact_data and transport_impact_data and washing_impact_data:
             color="Assessment",
             title="Comparison of Assessments"
         )
-        st.plotly_chart(fig)
+        st.plotly_chart(style_figure(fig))
 
     else:
         # Input for a single assessment
@@ -170,6 +176,6 @@ if fiber_impact_data and transport_impact_data and washing_impact_data:
             "Value": [water, energy, carbon]
         })
         fig = px.bar(result_data, x="Footprint Type", y="Value", title="Single Assessment Footprint Breakdown")
-        st.plotly_chart(fig)
+        st.plotly_chart(style_figure(fig))
 else:
     st.error("Failed to load dataset.")