Update pymc/model.py

Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

pymc/model.py

@@ -2049,7 +2049,7 @@ def Potential(name, var, model=None):
         In this example, we define a constraint on the sum of x and y to be less than 1. We pass this constraint to the ``pm.Potential`` function.
         Now, the probability density that the model produces takes into consideration the constraint that the sum of x and y should be less than 1.
 
-        The Potential function here acts as a gatekeeper allowing only samples that satisfy the constraint to contribute to the likelihood. This ensures that the sample generated by the sampler are consistent with the constraint.
+        The Potential function here acts as a gatekeeper allowing only samples that satisfy the constraint to contribute to the likelihood. This ensures that the samples generated by the sampler are consistent with the constraint.
 
         Have a look at the following example: