Update app.py

app.py

@@ -194,8 +194,8 @@ input_slope_random = gr.inputs.Slider(-8, 8, step=0.5, default=-4.5, label='(Ran
 
 input_gradients = gr.inputs.Checkbox(label="Apply Gradient Descent")
 
-input_learningrate = gr.inputs.Slider(0,1, step=0.001, default=0.005, label='Learning Rate')
-input_interation = gr.inputs.Slider(1, 1000, step=2, default=150, label='Iteration')
+input_learningrate = gr.inputs.Slider(0,1, step=0.001, default=0.01, label='Learning Rate')
+input_iteration = gr.inputs.Slider(1, 1000, step=5, default=200, label='Iteration')
 
 
 #### Define output component
@@ -204,7 +204,7 @@ output_plot1 = gr.outputs.Image(label="Regression plot")
 
 ### configure gradio, detailed can be found at https://www.gradio.app/docs/#i_slider
 interface = gr.Interface(fn=gradient_descent, 
-                         inputs=[input_intercept, input_slope, input_intercept_random, input_slope_random, input_gradients, input_learningrate, input_interation], 
+                         inputs=[input_intercept, input_slope, input_intercept_random, input_slope_random, input_gradients, input_learningrate, input_iteration], 
                          outputs=[output_plot1],
                          examples_per_page = 2,
                          examples = [[4, 3, -7, -5, True, 0.0001, 100], [1, 2, -7, -8, False, 0.0001, 100]],