Hi, I have this error please, waiting for your advice here

```
--------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-84-9408a3dffbf6> in <module>
1 from public_tests import *
2
----> 3 model_test(model)
~/work/release/W2A2/public_tests.py in model_test(target)
113 y_test = np.array([0, 1, 0])
114
--> 115 d = target(X, Y, x_test, y_test, num_iterations=50, learning_rate=0.01)
116
117 assert type(d['costs']) == list, f"Wrong type for d['costs']. {type(d['costs'])} != list"
<ipython-input-83-2d7f53637f65> in model(X_train, Y_train, X_test, Y_test, num_iterations, learning_rate, print_cost)
35 # YOUR CODE STARTS HERE
36 w, b = initialize_with_zeros(X_test.shape[1])
---> 37 params, grads, costs = optimize(X_train, Y_train, X_test, Y_test, num_iterations=2000, learning_rate=0.5, print_cost=False)
38 w = params["w"]
39 b = params["b"]
<ipython-input-15-306ca0cc307a> in optimize(w, b, X, Y, num_iterations, learning_rate, print_cost)
36 # YOUR CODE STARTS HERE
37
---> 38 grads, cost = propagate(w, b, X, Y)
39 # YOUR CODE ENDS HERE
40
<ipython-input-68-fe7d4b0b6f25> in propagate(w, b, X, Y)
29 # cost = ...
30 # YOUR CODE STARTS HERE
---> 31 A = sigmoid((np.dot(w.T,X)+b))
32 #cost = -1/m * np.sum( np.dot(np.log(A), Y.T) + np.dot(np.log(1-A), (1-Y.T)))
33 cost = (- 1 / m) * np.sum(Y * np.log(A) + (1 - Y) * (np.log(1 - A)))
ValueError: operands could not be broadcast together with shapes (7,3) (1,7)
```