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Clarifai · Oct 24, 2023 · b3626b1 · b3626b1
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diff --git a/clarifai/models/model_serving/docs/inference_parameters.md b/clarifai/models/model_serving/docs/inference_parameters.md
@@ -9,7 +9,7 @@ This document helps you to create your inference parameters that can be visibale
 ### JSON file structure:
 The file contains a list of object has 4 fields:
 * `path` (str): name of your parameter, it must be valid as python variable
-* `field_type` (int): the parameter data type is one of {1,2,21,3}, it means {boolean, string, encrypted_string, number} respectively. `Number` means `int` or `float`. `Encrypted_string` is simple a string can be used to store your secrets like API key...
+* `field_type` (int): the parameter data type is one of {1,2,21,3}, it means {boolean, string, encrypted_string, number} respectively. `Number` means `int` or `float`. "Encrypted_string is a string that can be used to store your secrets, like API key. The API will not return the values for this as plaintext.
 * `default_value`: a default value of the parameter.
 * `description` (str): short sentence describes what the parameter does
 

diff --git a/clarifai/models/model_serving/models/default_test.py b/clarifai/models/model_serving/models/default_test.py
@@ -48,7 +48,7 @@ def triton_get_predictions(self, input_data, **kwargs):
 
   def _get_preprocess(self, input):
     """ preprocess if input is image """
-    if "name" in input.name:
+    if "image" in input.name:
       h, w, _ = input.dims
       if h > -1 and w > -1:
         import cv2