Update app.py

app.py

@@ -209,7 +209,7 @@ else:
     regression_line = m * plot_df['Real Price'] + b
 
     # Add the line of best fit to the figure with the equation as the legend name
-    fig.add_trace(go.Scatter(x=plot_df['Real Price'], y=regression_line, mode='lines', line=dict(color='black')))
+    fig.add_trace(go.Scatter(x=plot_df['Real Price'], y=regression_line, mode='lines', line=dict(color='black'), showlegend=False))
 
     # Update layout with appropriate titles
     fig.update_layout(
@@ -217,7 +217,8 @@ else:
         xaxis_title="Real Price [EUR/MWh]",
         yaxis_title=f"{model_selection} Predictions [EUR/MWh]",
         xaxis=dict(range=[-160, 160]),  # Setting the x-axis range
-        yaxis=dict(range=[-150, 150])   # Setting the y-axis range
+        yaxis=dict(range=[-150, 150]),   # Setting the y-axis range
+        showlegend=False
     )
     st.plotly_chart(fig, use_container_width=True)