Update app.py

app.py

@@ -83,7 +83,7 @@ def gradient_descent(intercept=4, slope=3, intercept_random=4, slope_random=3, g
             X_tmp = np.array([[0], [2]])
             X_tmp_b = np.c_[np.ones((2, 1)), X_tmp]  # add x0 = 1 to each instance
             y_predict_tmp = X_tmp_b.dot(np.array([b, w]))
-            plt.plot(X_tmp, y_predict_tmp, "yellow", linewidth=2, label = "Fitted line in iteration "+str(i))
+            plt.plot(X_tmp, y_predict_tmp, "brown", linewidth=2, label = "Fitted line in iteration "+str(i))
               
           if i == int(iteration/3):
             X_tmp = np.array([[0], [2]])
@@ -208,7 +208,7 @@ interface = gr.Interface(fn=gradient_descent,
                          outputs=[output_plot1],
                          examples_per_page = 2,
                          examples = [[4, 3, -7, -5, True, 0.0001, 100], [1, 2, -7, -8, False, 0.0001, 100]], 
-                         title="CSCI4750/5750: Regression models (Function approximation by Gradient Descent)", 
+                         title="CSCI4750/5750: Regression models \n (Function approximation by Gradient Descent)", 
                          description= "Click examples to generate random dataset and select gradient descent parameters",
                          theme = 'huggingface',
                          layout = 'vertical'