Update app.py

app.py

@@ -12,9 +12,9 @@ def plot_penalties():
     plt.clf()
 
 
-    l1_color = 'r'
-    l2_color = 'g'
-    elastic_net_color = 'b'
+    l1_color = 'r'  # hard coded as color picker not working
+    l2_color = 'g'    # hard coded as color picker not working
+    elastic_net_color = 'b'  # hard coded as color picker not working
 
     line = np.linspace(-1.5, 1.5, 1001)
     xx, yy = np.meshgrid(line, line)
@@ -63,10 +63,7 @@ with gr.Blocks(title=title) as demo:
 
     gr.Markdown(" **[Demo is based on sklearn docs](https://scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html#sphx-glr-auto-examples-linear-model-plot-sgd-penalties-py)**")
 
-    # greet_btn.click(fn=greet, inputs=name, outputs=output)
-    # x = gr.Dropdown(["red", "blue", "green"], label="l1_color", type="index"),
-    # y = gr.Dropdown(["red", "blue", "green"], label="l2_color", type="index"),
-    # z = gr.Dropdown(["red", "blue", "green"], label="elastic_net_color", type="index"), # not working
+
 
     btn = gr.Button(value="Visualize SGD penalties")
     btn.click(plot_penalties, outputs= gr.Plot() ) #