Add visualisation function

src/utils.py

@@ -258,4 +258,61 @@ def format_gwp_eq_airplane_paris_nyc(gwp: Quantity) -> Quantity:
     gwp_eq = gwp_eq.to("kgCO2eq")
     return gwp_eq / AIRPLANE_PARIS_NYC_GWP_EQ####################################################################################### MODELS PARAMETER####################################################################################
 
-  
+#####################################################################################
+### VISUALIZATIONS
+#####################################################################################
+
+def range_plot (mean_val, min_val, max_val, unit):
+    
+    fig = go.Figure()
+
+    # Background bar
+    fig.add_trace(go.Bar(
+        x=[max_val],
+        y=[''],
+        orientation='h',
+        marker=dict(color="#0B3B36"),
+        showlegend=False,
+        hoverinfo='skip',
+    ))
+    
+    # Vertical line 
+    fig.add_shape(
+        type="line",
+        x0=mean_val, y0=-1,
+        x1=mean_val, y1=1,
+        line=dict(color='#00BF63', width=3, dash="solid"),
+        #name="Average"
+    )
+
+    # Add labels
+    for val, pos, text in zip([max_val, min_val]*2,[0.85,0.85,1.6,1.6], ["Max", "Min", f'{max_val:.3g}{' '}{unit}', f'{min_val:.3g}{' '}{unit}']):
+        fig.add_annotation(
+            x=val,
+            y=-pos,
+            text=text,
+            showarrow=False,
+            font=dict(color="black", size=16)
+    )
+        
+    fig.add_annotation(
+            x=mean_val,
+            y=1.65,
+            text=f'{mean_val:.3g}{' '} {unit}',
+            showarrow=False,
+            font=dict(color="black",  size=35)
+    )
+     
+    # Layout adjustments
+    fig.update_layout(
+        height=160,
+        width = 400,
+        xaxis=dict(range=[min_val, max_val], showgrid=False, showticklabels=False),
+        yaxis=dict(showticklabels=False),
+        plot_bgcolor='white',
+        margin=dict(l=100, r=100, t=0, b=20),
+        showlegend=False
+    )
+
+    # Show the plot in Streamlit
+    st.plotly_chart(fig, use_container_width=True)