I've some problems with modelization of differential equations

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Hi ! I've a project in mathematics and I'm supposed to modelize 5 functions according to various parameters that vary (hence the use of sliders). But I can't because it is highly developed functions and I had no lessons on this program. I give you the code which gives me this error:

  File "<ipython-input-1-943112df05f1>", line 30
    T.ode_solve( y_0=[lambda,Integer(0),Integer(1)-lambda,Integer(0)] , t_span=[Integer(0),Integer(150)] , params=[nu,d,B,v,c,p,beta] , num_points=Integer(1000))
                            ^
SyntaxError: invalid syntax

Code

# y[0] = X : – B - nuX - (lambda)cX
# y[1] = Y : (lambda)cX - (v + nu)Y
# y[2] = Z : (1 - p)vY - nuZ
# y[3] = A : pvY - (d + nu)A
# y[4] = lambda : ((beta)Y / (X + Y + Z))
# params[0] = nu : natural death rate == 0.03125
# params[1] = d : AIDS death rate == 1
# params[2] = B : immigration rate of people likely == 13333.3
# params[3] = v : conversion rate HIV-> AIDS == 0.2
# params[4] = c : number of sexual partners == 4
# params[5] = p : infectious HIV-positive proportion == 0.3
# params[6] = beta : probability of transmission == 0.014
# t : temps

@interact
def interactive_function(nu = slider(0.01, 0.1, 0.005, default=0.03125),
                         d = slider(0, 1, 0.05, default=1),
                         B = slider(500, 30000, 250, default=13333),
                         v = slider(0, 1, 0.05, default=0.2),
                         c = slider(0, 50, 1, default=4),
                         p = slider(0, 1, 0.05, default=0.3),
                         beta = slider(0, 1, 0.002, default=0.014),):

    def f_1(t,y,params) :
        return [ -params[2]-params[0]*y[0]-y[4]*params[4]*y[0] , y[4]*params[4]*y[0]-(params[3]+params[0])*y[1], (1-params[5])*params[3]*y[1]-params[0]*y[2], params[5]*params[3]*y[1]-(params[1]+params[0])*y[3], (params[6]*y[1])/(y[0]+y[1]+y[2]) ]

    T = ode_solver()
    T.function = f_1
    T.algorithm="rk8pd"
    T.ode_solve( y_0=[lambda,0,1-lambda,0] , t_span=[0,150] , params=[nu,d,B,v,c,p,beta] , num_points=1000 )

    f = T.solution
    X = [(x[0],x[1][0]) for x in f]
    Y = [(x[0],x[1][1]) for x in f]
    Z = [(x[0],x[1][2]) for x in f]
    A = [(x[0],x[1][3]) for x in f]
    lambda = [(x[0],x[1][4]) for x in f]

    P1 = line(X, rgbcolor='green')
    P2 = line(Y, rgbcolor='pink')
    P3 = line(Z, rgbcolor='red')
    P4 = line(A, rgbcolor='brown')
    P5 = line(lambda, rgbcolor='green')
    show(P1+P2+P3+P4+P5)

Thanks for the help you can bring to me !

Cordially, LordHorus.

PS = Sorry if my english can be wrong, I'm french :p