Update app.py

app.py

@@ -35,7 +35,7 @@ def predict(alpha):
   plt.xlabel("X")
   return plt
 
-inputs = gr.Slider(-10, 20, label='alpha', default=1)
+inputs = gr.Slider(0, 20, label='alpha', default=1)
 outputs = gr.Plot()
 title = "Effect of regularization using Ridge regression"
 description = "Alpha is the regularization parameter which basically restricts model. The idea is that using regularization the model even if performs poorly on the training data, it would provide a better fit for generalizing data. Try out yourself by increasing or decreasing the value of alpha."