Automatic commit: Move 'cp-aibus-ber-custom-deploy' from QA to Production

Author: Juliana-Morais

tutorials/cp-aibus-ber-custom-deploy/cp-aibus-ber-custom-deploy.md

@@ -142,96 +142,96 @@ Use the **GET /inference/jobs/{`jobId`}** endpoint to see the text extraction re
 
 3. Enter the `jobId` obtained in the previous step and click **Execute**.
 
-      !![BER](png-files/get-inf-1.png)
+!![BER](png-files/get-inf-1.png)
 
-      You should receive a response like the following:
+You should receive a response like the following:
 
-      !![BER](png-files/get-inf-2.png)
+!![BER](png-files/get-inf-2.png)
 
-      In the response, you will find the prediction for the extracted entities. The prediction is made with a probability indicated by the **confidence** field which represents how certain the model is about the value provided. A confidence of 1 means that the model is 100% sure about its prediction. The model tries to provide a value for all its capabilities. Thus, you may see a different result depending on your model's capabilities. In case the model cannot identify an entity in the text, it returns an empty value.
+In the response, you will find the prediction for the extracted entities. The prediction is made with a probability indicated by the **confidence** field which represents how certain the model is about the value provided. A confidence of 1 means that the model is 100% sure about its prediction. The model tries to provide a value for all its capabilities. Thus, you may see a different result depending on your model's capabilities. In case the model cannot identify an entity in the text, it returns an empty value.
 
-      Below, you find an example of a full prediction:
+Below, you find an example of a full prediction:
 
-      ```JSON
+```JSON
+{
+  "data": {
+    "result": [
       {
-        "data": {
-          "result": [
-            {
-              "mobile": [
-                {
-                  "confidence": 1,
-                  "value": "9000900090"
-                }
-              ],
-              "title": [
-                {
-                  "confidence": 0.79,
-                  "value": "Mrs"
-                }
-              ],
-              "firstname": [
-                {
-                  "confidence": 0.93,
-                  "value": "Hardi"
-                }
-              ],
-              "lastname": [
-                {
-                  "confidence": 0.8,
-                  "value": "Shah"
-                }
-              ],
-              "address": [
-                {
-                  "confidence": 0.9,
-                  "value": "Naranpura"
-                }
-              ],
-              "zip": [
-                {
-                  "confidence": 1,
-                  "value": "380013"
-                }
-              ],
-              "city": [
-                {
-                  "confidence": 0.9,
-                  "value": "Ahmedabad"
-                }
-              ],
-              "country": [
-                {
-                  "confidence": 1,
-                  "value": "India"
-                }
-              ],
-              "emailID": [
-                {
-                  "confidence": 0.97,
-                  "value": "[email protected], [email protected]"
-                }
-              ],
-              "designation": [
-                {
-                  "confidence": 0.97,
-                  "value": "Sales & Marketing"
-                }
-              ]
-            }
-          ],
-          "freePlanUsage": {
-            "inferenceRequestsUsage": "Maximum limit of 30 , utilized 1 Inference count and remaining 29",
-            "inferenceCharactersUsage": "Maximum limit of 120000 , utilized 1157 Inference characters and remaining 118843"
-          },
-          "id": "2819e45f-302d-4737-a390-c00cb186cf51",
-          "status": "SUCCESS",
-          "createdAt": "2022-05-09T13:44:58Z",
-          "modifiedAt": "2022-05-09T13:45:03Z"
-        }
+        "mobile": [
+          {
+            "confidence": 1,
+            "value": "9000900090"
+          }
+        ],
+        "title": [
+          {
+            "confidence": 0.79,
+            "value": "Mrs"
+          }
+        ],
+        "firstname": [
+          {
+            "confidence": 0.93,
+            "value": "Hardi"
+          }
+        ],
+        "lastname": [
+          {
+            "confidence": 0.8,
+            "value": "Shah"
+          }
+        ],
+        "address": [
+          {
+            "confidence": 0.9,
+            "value": "Naranpura"
+          }
+        ],
+        "zip": [
+          {
+            "confidence": 1,
+            "value": "380013"
+          }
+        ],
+        "city": [
+          {
+            "confidence": 0.9,
+            "value": "Ahmedabad"
+          }
+        ],
+        "country": [
+          {
+            "confidence": 1,
+            "value": "India"
+          }
+        ],
+        "emailID": [
+          {
+            "confidence": 0.97,
+            "value": "[email protected], [email protected]"
+          }
+        ],
+        "designation": [
+          {
+            "confidence": 0.97,
+            "value": "Sales & Marketing"
+          }
+        ]
       }
-      ```
-
-      You have now successfully used your own custom model to get text entity predictions for the unstructured text you submitted to Business Entity Recognition.
+    ],
+    "freePlanUsage": {
+      "inferenceRequestsUsage": "Maximum limit of 30 , utilized 1 Inference count and remaining 29",
+      "inferenceCharactersUsage": "Maximum limit of 120000 , utilized 1157 Inference characters and remaining 118843"
+    },
+    "id": "2819e45f-302d-4737-a390-c00cb186cf51",
+    "status": "SUCCESS",
+    "createdAt": "2022-05-09T13:44:58Z",
+    "modifiedAt": "2022-05-09T13:45:03Z"
+  }
+}
+```    
+
+You have now successfully used your own custom model to get text entity predictions for the unstructured text you submitted to Business Entity Recognition.
 
 [DONE]
 [ACCORDION-END]