Update time_dependent_parameters.md

move `using Catalyst` in docs

docs/src/model_creation/time_dependent_parameters.md

@@ -3,7 +3,7 @@
 ## [Basic example](@id time_dependent_parameters_basic_example)
 Let us first consider an easy, quick-start example. We will consider a simple [birth-death model](@ref basic_CRN_library_bd), but where the birth rate is determined by an input parameter (which value depends on time). First, we [define the input parameter programmatically](@ref programmatic_CRN_construction), and its values across all time values using the [DataInterpolations.jl](https://github.com/SciML/DataInterpolations.jl) package. In this example we will use the input function $pIn(t) = (2 + t)/(1 + t)$.
 ```@example time_dependent_parameters_basic_example
-using DataInterpolations
+using Catalyst, DataInterpolations
 t = default_t()
 tend = 10.0
 ts = collect(0.0:0.01:tend)
@@ -13,7 +13,6 @@ nothing # hide
 ```
 Next, we create our model, [interpolating](@ref dsl_advanced_options_symbolics_and_DSL_interpolation) the input parameter into it (making it a function of `t`).
 ```@example time_dependent_parameters_basic_example
-using Catalyst
 input = pIn(default_t())
 bd_model = @reaction_network begin
     $input, 0 --> X