Fix DynamicPPL import

Author: penelopeysm

usage/probability-interface/index.qmd

@@ -18,7 +18,7 @@ Let's use a simple model of normally-distributed data as an example.
 
 ```{julia}
 using Turing
-using LinearAlgebra: I
+using DynamicPPL
 using Random
 
 @model function gdemo(n)
@@ -98,11 +98,9 @@ logjoint(model, sample)
 ```
 
 For models with many variables `rand(model)` can be prohibitively slow since it returns a `NamedTuple` of samples from the prior distribution of the unconditioned variables.
-We recommend working with samples of type `DataStructures.OrderedDict` in this case:
+We recommend working with samples of type `DataStructures.OrderedDict` in this case (which Turing re-exports, so can be used directly):
 
 ```{julia}
-using DataStructures: OrderedDict
-
 Random.seed!(124)
 sample_dict = rand(OrderedDict, model)
 ```