Update app.py

app.py

@@ -2,31 +2,26 @@ import gradio as gr
 import altair as alt
 import pandas as pd
 
-def create_portfolio_graph(plot_type):
-    if plot_type == "bar_plot":
-        # Data for the bars
-        positions = ['Long', 'Short']
-        percentages = [0.9, 0.1]  # 90% long, 10% short
+def create_portfolio_graph():
+    # Data for the bars
+    positions = ['Long', 'Short']
+    percentages = [0.9, 0.1]  # 90% long, 10% short
 
-        data = pd.DataFrame({'Position': positions, 'Percentage': percentages})
+    data = pd.DataFrame({'Position': positions, 'Percentage': percentages})
 
-        # Creating the bar plot with adjusted width and colors
-        chart = alt.Chart(data).mark_bar().encode(
-            x=alt.X('Position:N', axis=alt.Axis(title=None)),
-            y=alt.Y('Percentage:Q', axis=alt.Axis(title='Percentage')),
-            color=alt.Color('Position:N', scale=alt.Scale(range=['blue', 'red']))
-        ).properties(width=400)  # Adjust width as needed
+    # Creating the bar plot with adjusted width and colors
+    chart = alt.Chart(data).mark_bar().encode(
+        x=alt.X('Position:N', axis=alt.Axis(title=None)),
+        y=alt.Y('Percentage:Q', axis=alt.Axis(title='Percentage')),
+        color=alt.Color('Position:N', scale=alt.Scale(range=['blue', 'red']))
+    ).properties(width=400)  # Adjust width as needed
 
-        return chart
-    else:
-        return None
+    return chart
 
 with gr.Blocks() as demo:
-    button = gr.Radio(label="Plot type",
-                      choices=['bar_plot'], value='bar_plot')
     plot = gr.Plot(label="Portfolio Composition Chart")
-    button.change(create_portfolio_graph, inputs=button, outputs=[plot])
-    demo.load(create_portfolio_graph, inputs=[button], outputs=[plot])
+    plot.change(create_portfolio_graph, inputs=[], outputs=[plot])
+    demo.load(create_portfolio_graph, inputs=[], outputs=[plot])
 
 if __name__ == "__main__":
     demo.launch()
@@ -44,3 +39,4 @@ if __name__ == "__main__":
 
 
 
+