Update app.py

app.py

@@ -8,7 +8,7 @@ from sklearn.metrics import log_loss
 def sigmoid(z):
     return 1.0/(1.0+ np.exp(-z))
 
- def sigmoid_prime(z):
+def sigmoid_prime(z):
   return sigmoid(z)*(1.0-sigmoid(z))
 
 def cross_entropy(weights,bias,X_train,y_train):
@@ -87,8 +87,6 @@ def visualize_neural(a):
   else:
       return image_array,"palindrom"
 
-def greet(name):
-    return "Hello " + name
 
 
 demo = gr.Interface(fn=visualize_neural, inputs="text", outputs=[gr.Image(label="Neural network visualization"),gr.Textbox(label="output")])