test

app.py

@@ -25,7 +25,7 @@ def make_plot(n_samples, n_features, n_tasks, n_relevant_features, alpha, progre
     coef_lasso_ = np.array([Lasso(alpha=0.5).fit(X, y).coef_ for y in Y.T])
     coef_multi_task_lasso_ = MultiTaskLasso(alpha=alpha).fit(X, Y).coef_
     
-    fig = plt.figure(figsize=(8, 5))
+    fig = plt.figure(figsize=(16, 20))
     
     feature_to_plot = 0
     fig = plt.figure()
@@ -51,20 +51,21 @@ def make_plot(n_samples, n_features, n_tasks, n_relevant_features, alpha, progre
     
 model_card = f"""
 ## Description
-Multi-task Lasso allows us to jointly fit multiple regression problems  by enforcing the selected features to be the same across tasks. This example simulates sequential measurement. 
-Each task is a time instant, and the relevant features, while being the same, vary in amplitude over time. Multi-task lasso imposes that features that are selected at one time point 
-are selected for all time points. This makes feature selection more stable than by regular Lasso.
+Multi-task Lasso allows us to jointly fit multiple regression problems  by enforcing the selected features to be the same across tasks. This example simulates sequential measurement. Each task
+is a time instant, and the relevant features, while being the same, vary in amplitude over time. Multi-task lasso imposes that features that are selected at one time point are selected
+for all time points. This makes feature selection more stable than by regular Lasso.
 ## Model
 currentmodule: sklearn.linear_model
 class:`Lasso` and class: `MultiTaskLasso` are used in this example.
 Plots represent Lasso, MultiTaskLasso and Ground truth time series
 """
 
-with gr.Blocks(theme=gr.themes.Glass(primary_hue=gr.themes.colors.gray, 
-               secondary_hue=gr.themes.colors.stone,
-               text_size=gr.themes.sizes.text_lg)  as demo:#,
-               #css=".gradio-container {background-color: #9ea9a9 }")
-    
+theme = gr.themes.Glass(primary_hue=gr.themes.colors.gray, 
+               secondary_hue=gr.themes.colors.sky,
+               text_size=gr.themes.sizes.text_lg).set(slider_color="#b2dcf3")
+
+with gr.Blocks(theme=theme) as demo:
+            
     gr.Markdown('''
             <div>
             <h1 style='text-align: center'> Joint feature selection with multi-task Lasso </h1>