fix DeepSparse product example server config

Author: markurtz

src/content/products/deepsparse.mdx

@@ -84,14 +84,14 @@ To serve multiple models in your deployment you can easily build a `config.yaml`
 num_cores: 1
 num_workers: 1
 endpoints:
-- task: question_answering
-route: /predict/question_answering/base
-model: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
-batch_size: 1
-- task: question_answering
-route: /predict/question_answering/pruned_quant
-model: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned80_quant-none-vnni
-batch_size: 1
+  - task: question_answering
+    route: /predict/question_answering/base
+    model: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
+    batch_size: 1
+  - task: question_answering
+    route: /predict/question_answering/pruned_quant
+    model: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned80_quant-none-vnni
+    batch_size: 1
 ```
 
 Finally, after your `config.yaml` file is built, run the server with the config file path as an argument: