Interact and plot quiverin Python Jupyter Notebook

Question

I would like to use the interact function to create sliders where the user would input vector coordinates and plot these coordinates. The problem is that changing the input values doesn't make a new graph, would it be possible to make it work?

I'm working with jupyter notebook. My code

import panel as pn
import numpy as np
import matplotlib.pyplot as plt
from panel.interact import interact, interactive, fixed, interact_manual
pn.extension()

def f(u1,u2,v1,v2):
    plt.clf()
    vetores = np.array([[0,0,u1,u2], [u1,u2,v1,v2]])
    X, Y, U, V = zip(*vetores)
    plt.figure()
    ax = plt.gca()
    ax.quiver(X, Y, U, V, angles='xy', scale_units='xy', scale=1, color = ['r','g','b'])
    ax.set_xlim([min(-1,u1-1, v1-1), max(u1+v1+1, v1+1)])
    ax.set_ylim([min(-1,u2-1, v2-1), max(u2+v2+1, v2+1)])
    plt.show()
    
interact(f, u1=2, u2=0, v1=2, v2=3)