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AudioQnA/docker_compose/intel/cpu/xeon/README.md

@@ -154,13 +154,13 @@ docker compose -f compose_tgi.yaml -f compose.monitoring.yaml down
 
 In the context of deploying an AudioQnA pipeline on an Intel® Xeon® platform, we can pick and choose different large language model serving frameworks, or single English TTS/multi-language TTS component. The table below outlines the various configurations that are available as part of the application. These configurations can be used as templates and can be extended to different components available in [GenAIComps](https://github.com/opea-project/GenAIComps.git).
 
-| File                                               | Description                                                                                                                                                                                                                  |
-| -------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [compose.yaml](./compose.yaml)                     | Default compose file using vllm as serving framework and redis as vector database                                                                                                                                            |
-| [compose_tgi.yaml](./compose_tgi.yaml)             | The LLM serving framework is TGI. All other configurations remain the same as the default                                                                                                                                    |
-| [compose_multilang.yaml](./compose_multilang.yaml) | The TTS component is GPT-SoVITS. All other configurations remain the same as the default                                                                                                                                     |
-| [compose_remote.yaml](./compose_remote.yaml)       | The LLM used is hosted on a remote server and an endpoint is used to access this model. Additional environment variables need to be set before running. See [instructions](#running-llm-models-with-remote-endpoints) below. |
-| [compose.monitoring.yaml](./compose.monitoring.yaml) | Helper file for monitoring features. Can be used along with any compose files          |
+| File                                                 | Description                                                                                                                                                                                                                  |
+| ---------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [compose.yaml](./compose.yaml)                       | Default compose file using vllm as serving framework and redis as vector database                                                                                                                                            |
+| [compose_tgi.yaml](./compose_tgi.yaml)               | The LLM serving framework is TGI. All other configurations remain the same as the default                                                                                                                                    |
+| [compose_multilang.yaml](./compose_multilang.yaml)   | The TTS component is GPT-SoVITS. All other configurations remain the same as the default                                                                                                                                     |
+| [compose_remote.yaml](./compose_remote.yaml)         | The LLM used is hosted on a remote server and an endpoint is used to access this model. Additional environment variables need to be set before running. See [instructions](#running-llm-models-with-remote-endpoints) below. |
+| [compose.monitoring.yaml](./compose.monitoring.yaml) | Helper file for monitoring features. Can be used along with any compose files                                                                                                                                                |
 
 ### Running LLM models with remote endpoints
 

AudioQnA/docker_compose/intel/cpu/xeon/README_vllm.md

@@ -126,12 +126,12 @@ The following containers should be running:
 
 Containers should not restart.
 
-(Optional) Enabling monitoring using the commmand:
+(Optional) Enabling monitoring using the command:
+
 ```bash
 docker compose -f compose.yaml -f compose.monitoring.yaml up -d
 ```
 
-
 #### 3.1.1. Configuring GPU forwarding
 
 By default, in the Docker Compose file, compose_vllm.yaml is configured to forward all GPUs to the audioqna-vllm-service container.

AudioQnA/docker_compose/intel/cpu/xeon/compose.monitoring.yaml

@@ -56,4 +56,4 @@ services:
     ipc: host
     restart: always
     deploy:
-      mode: global
+      mode: global

AudioQnA/docker_compose/intel/cpu/xeon/grafana/dashboards/download_opea_dashboard.sh

@@ -9,4 +9,4 @@ fi
 wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/vllm_grafana.json
 wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/tgi_grafana.json
 wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/audioqna_megaservice_grafana.json
-wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/node_grafana.json
+wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/node_grafana.json

AudioQnA/docker_compose/intel/cpu/xeon/grafana/provisioning/dashboards/local.yaml

@@ -11,4 +11,4 @@ providers:
   disableDeletion: false
   updateIntervalSeconds: 10 #how often Grafana will scan for changed dashboards
   options:
-    path: /var/lib/grafana/dashboards
+    path: /var/lib/grafana/dashboards

AudioQnA/docker_compose/intel/cpu/xeon/grafana/provisioning/datasources/datasource.yaml

@@ -51,4 +51,4 @@ datasources:
     tlsClientKey: "..."
   version: 1
   # <bool> allow users to edit datasources from the UI.
-  editable: true
+  editable: true

AudioQnA/docker_compose/intel/cpu/xeon/prometheus.yaml

@@ -24,4 +24,4 @@ scrape_configs:
   - job_name: "prometheus-node-exporter"
     metrics_path: /metrics
     static_configs:
-      - targets: ["node-exporter:9100"]
+      - targets: ["node-exporter:9100"]

AudioQnA/docker_compose/intel/hpu/gaudi/compose.monitoring.yaml

@@ -56,4 +56,4 @@ services:
     ipc: host
     restart: always
     deploy:
-      mode: global
+      mode: global

AudioQnA/docker_compose/intel/hpu/gaudi/grafana/dashboards/download_opea_dashboard.sh

@@ -9,4 +9,4 @@
 wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/vllm_grafana.json
 wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/tgi_grafana.json
 # wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/audioqna_megaservice_grafana.json
-wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/node_grafana.json
+wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/node_grafana.json

AudioQnA/docker_compose/intel/hpu/gaudi/grafana/provisioning/dashboards/local.yaml

@@ -11,4 +11,4 @@ providers:
   disableDeletion: false
   updateIntervalSeconds: 10 #how often Grafana will scan for changed dashboards
   options:
-    path: /var/lib/grafana/dashboards
+    path: /var/lib/grafana/dashboards