Corrected the typo error.

Rohini-Microsoft · Rohini-Microsoft · commit d4bb40273c6f · 2025-04-29T11:06:14.000+05:30
diff --git a/README.md b/README.md
@@ -203,7 +203,7 @@ Additional Steps
 
 1. **Add App Authentication**
    
-    Follow steps in [App Authentication](./docs/AppAuthentication.md) to configure authenitcation in app service.
+    Follow steps in [App Authentication](./docs/AppAuthentication.md) to configure authentication in app service.
 
     Note: Authentication changes can take up to 10 minutes 
 
diff --git a/docs/AppAuthentication.md b/docs/AppAuthentication.md
@@ -36,7 +36,7 @@
 
 ![Add Details](Images/AddDetails.png)
 
-5. After application is created sucessfully, then click on `Add a Redirect URL`.
+5. After application is created successfully, then click on `Add a Redirect URL`.
 
 ![Redirect URL](Images/AddRedirectURL.png)
 
diff --git a/docs/CustomizingAzdParameters.md b/docs/CustomizingAzdParameters.md
@@ -3,7 +3,7 @@
 By default this template will use the environment name as the prefix to prevent naming collisions within Azure. The parameters below show the default values. You only need to run the statements below if you need to change the values. 
 
 
-> To override any of the parameters, run `azd env set <key> <value>` before running `azd up`. On the first azd command, it will prompt you for the environment name. Be sure to choose 3-20 charaters alphanumeric unique name. 
+> To override any of the parameters, run `azd env set <key> <value>` before running `azd up`. On the first azd command, it will prompt you for the environment name. Be sure to choose 3-20 characters alphanumeric unique name. 
 
 Change the Content Understanding Location (allowed values: Sweden Central, Australia East)
 
diff --git a/docs/Fabric_deployment.md b/docs/Fabric_deployment.md
@@ -24,7 +24,7 @@ If you'd like to customize the solution accelerator, here are some ways you migh
         7.  Click Publish
     7.  Retrieve Workspace ID from URL, refer to documentation additional assistance ([here](https://learn.microsoft.com/en-us/fabric/admin/portal-workspace#identify-your-workspace-id))
 
-    ***Note: Wait until the Environment is finished publishing prior to proceeding witht the next steps.
+    ***Note: Wait until the Environment is finished publishing prior to proceeding with the next steps.
 
 4.  **Deploy Fabric resources and artifacts**
     1.   Navigate to ([Azure Portal](https://portal.azure.com/))
@@ -40,7 +40,7 @@ If you'd like to customize the solution accelerator, here are some ways you migh
               3.   solutionprefix_param - prefix used to append to lakehouse upon creation
 5.  **Add App Authentication**
    
-    Follow steps in [App Authentication](./docs/AppAuthentication.md) to configure authenitcation in app service.
+    Follow steps in [App Authentication](./docs/AppAuthentication.md) to configure authentication in app service.
 
 ### Upload additional files
 
diff --git a/docs/quota_check.md b/docs/quota_check.md
@@ -60,7 +60,7 @@ eastus, uksouth, eastus2, northcentralus, swedencentral, westus, westus2, southc
 ### **Sample Output**
 The final table lists regions with available quota. You can select any of these regions for deployment.
 
-![quota-check-ouput](Images/quota-check-output.png)
+![quota-check-output](Images/quota-check-output.png)
 
 ---
 ### **If using Azure Portal and Cloud Shell**
diff --git a/infra/data/ckm-analyzer_config_audio.json b/infra/data/ckm-analyzer_config_audio.json
@@ -57,7 +57,7 @@
       "keyPhrases": {
         "type": "string",
         "method": "generate",
-        "description": "Identify the top 10 key phrases as comma seperated string excluding people names"
+        "description": "Identify the top 10 key phrases as comma separated string excluding people names"
       },
       "complaint": {
         "type": "string",
diff --git a/infra/data/ckm-analyzer_config_text.json b/infra/data/ckm-analyzer_config_text.json
@@ -56,7 +56,7 @@
       "keyPhrases": {
         "type": "string",
         "method": "generate",
-        "description": "Identify the top 10 key phrases as comma seperated string excluding people names"
+        "description": "Identify the top 10 key phrases as comma separated string excluding people names"
       },
       "complaint": {
         "type": "string",
diff --git a/infra/scripts/fabric_scripts/notebooks/00_process_json_files.ipynb b/infra/scripts/fabric_scripts/notebooks/00_process_json_files.ipynb
diff --git a/infra/scripts/fabric_scripts/notebooks/02_enrich_audio_data.ipynb b/infra/scripts/fabric_scripts/notebooks/02_enrich_audio_data.ipynb
diff --git a/infra/scripts/fabric_scripts/notebooks/cu/process_cu_data.ipynb b/infra/scripts/fabric_scripts/notebooks/cu/process_cu_data.ipynb
@@ -438,7 +438,7 @@
     "        If the input data is insufficient for reliable topic modeling, indicate that more data is needed rather than making assumptions. \n",
     "        Ensure that the topics and labels are accurate, relevant, and easy to understand.\n",
     "\n",
-    "        Return the topics and their labels in JSON format.Always add 'topics' node and 'label', 'description' attriubtes in json.\n",
+    "        Return the topics and their labels in JSON format.Always add 'topics' node and 'label', 'description' attributes in json.\n",
     "        Do not return anything else.\n",
     "        \"\"\"\n",
     "    system_prompt = 'You are a helpful assistant.'\n",
@@ -556,7 +556,7 @@
     "    # Construct the prompt  \n",
     "    prompt = f'''You are a data analysis assistant to help find the closest topic for a given text {input_text} \n",
     "                from a list of topics - {list_of_topics}.\n",
-    "                ALLWAYS only return a topic from list - {list_of_topics}. Do not add any other text.'''\n",
+    "                ALWAYS only return a topic from list - {list_of_topics}. Do not add any other text.'''\n",
     "    system_prompt = 'You are a helpful assistant.'\n",
     "    try:\n",
     "        response = openai.ChatCompletion.create(\n",
diff --git a/infra/scripts/fabric_scripts/notebooks/speech_to_text/process_data_stt.ipynb b/infra/scripts/fabric_scripts/notebooks/speech_to_text/process_data_stt.ipynb
@@ -639,7 +639,7 @@
     "            Is the customer satisfied with the agent interaction (Yes or No), key: satisfied . \n",
     "            Identify the sentiment of the conversation (Positive, Neutral, Negative), key: sentiment . \n",
     "            Identify the single primary topic of the conversation in 6 words or less,key: topic . \n",
-    "            Identify the top 10 key phrases as comma seperated string excluding people names , key: keyPhrases .\n",
+    "            Identify the top 10 key phrases as comma separated string excluding people names , key: keyPhrases .\n",
     "            Identify the single primary complaint of the conversation in 3 words or less, key: complaint .\n",
     "            Answer in JSON machine-readable format, using the keys from above. \n",
     "            Pretty print the JSON and make sure that it is properly closed at the end and do not generate any other content.'''\n",
diff --git a/infra/scripts/fabric_scripts/notebooks/speech_to_text/topic_modeling_stt.ipynb b/infra/scripts/fabric_scripts/notebooks/speech_to_text/topic_modeling_stt.ipynb
@@ -175,7 +175,7 @@
     "        If the input data is insufficient for reliable topic modeling, indicate that more data is needed rather than making assumptions. \n",
     "        Ensure that the topics and labels are accurate, relevant, and easy to understand.\n",
     "\n",
-    "        Return the topics and their labels in JSON format.Always add 'topics' node and 'label', 'description' attriubtes in json.\n",
+    "        Return the topics and their labels in JSON format.Always add 'topics' node and 'label', 'description' attributes in json.\n",
     "        Do not return anything else.\n",
     "        \"\"\"\n",
     "    # GPT-4o-mini\n",
diff --git a/infra/scripts/index_scripts/03_cu_process_data_text.py b/infra/scripts/index_scripts/03_cu_process_data_text.py
@@ -456,7 +456,7 @@ def call_gpt4(topics_str1, client):
         If the input data is insufficient for reliable topic modeling, indicate that more data is needed rather than making assumptions. 
         Ensure that the topics and labels are accurate, relevant, and easy to understand.
 
-        Return the topics and their labels in JSON format.Always add 'topics' node and 'label', 'description' attriubtes in json.
+        Return the topics and their labels in JSON format.Always add 'topics' node and 'label', 'description' attributes in json.
         Do not return anything else.
         """
     # Phi-3 model client
@@ -574,7 +574,7 @@ def reduce_data_until_fits(topics_str, max_tokens, client):
 def get_mined_topic_mapping(input_text, list_of_topics):
     prompt = f'''You are a data analysis assistant to help find the closest topic for a given text {input_text} 
                 from a list of topics - {list_of_topics}.
-                ALLWAYS only return a topic from list - {list_of_topics}. Do not add any other text.'''
+                ALWAYS only return a topic from list - {list_of_topics}. Do not add any other text.'''
 
     # Phi-3 model client
     # response = client.complete(
diff --git a/src/App/src/components/Chart/Chart.tsx b/src/App/src/components/Chart/Chart.tsx
@@ -205,7 +205,7 @@ const Chart = (props: ChartProps) => {
     setAppliedFetch(false);
   };
 
-  const renderChart = (chart: ChartConfigItem, heightInPixes: number) => {
+  const renderChart = (chart: ChartConfigItem, heightInPixels: number) => {
     const getColorForLabel = (label: string): string => {
       switch (label) {
         case "positive":
@@ -228,7 +228,7 @@ const Chart = (props: ChartProps) => {
             value={chart.data?.[0]?.value || "0"}
             description={chart.data?.[0]?.name || ""}
             unit_of_measurement={chart.data?.[0]?.unit_of_measurement || ""}
-            containerHeight={heightInPixes}
+            containerHeight={heightInPixels}
           />
         ) : (
           <NoData />
@@ -242,15 +242,15 @@ const Chart = (props: ChartProps) => {
               value: parseInt(item.value) || 0,
               color: getColorForLabel(item.name.toLowerCase()),
             }))}
-            containerHeight={heightInPixes}
+            containerHeight={heightInPixels}
             widthInPixels={document?.getElementById(chart?.domId)!?.clientWidth}
             containerID={chart?.domId}
           />
         ) : (
           <div
             className="outerNoDataContainer"
             style={{
-              height: `calc(${heightInPixes}px - 40px)`,
+              height: `calc(${heightInPixels}px - 40px)`,
             }}
           >
             <NoData />
@@ -264,14 +264,14 @@ const Chart = (props: ChartProps) => {
               category: item.name,
               value: parseFloat(item.value),
             }))}
-            containerHeight={heightInPixes}
+            containerHeight={heightInPixels}
             containerID={chart?.domId}
           />
         ) : (
           <div
             className="outerNoDataContainer"
             style={{
-              height: `calc(${heightInPixes}px - 40px)`,
+              height: `calc(${heightInPixels}px - 40px)`,
             }}
           >
             <NoData />
@@ -287,13 +287,13 @@ const Chart = (props: ChartProps) => {
               call_frequency: item.call_frequency,
               average_sentiment: item.average_sentiment,
             }))}
-            containerHeight={heightInPixes}
+            containerHeight={heightInPixels}
           />
         ) : (
           <div
             className="outerNoDataContainer"
             style={{
-              height: `calc(${heightInPixes}px - 40px)`,
+              height: `calc(${heightInPixels}px - 40px)`,
             }}
           >
             <NoData />
@@ -311,13 +311,13 @@ const Chart = (props: ChartProps) => {
               })),
             }}
             widthInPixels={document?.getElementById(chart?.domId)!?.clientWidth}
-            containerHeight={heightInPixes}
+            containerHeight={heightInPixels}
           />
         ) : (
           <div
             className="outerNoDataContainer"
             style={{
-              height: `calc(${heightInPixes}px - 40px)`,
+              height: `calc(${heightInPixels}px - 40px)`,
             }}
           >
             <NoData />
@@ -376,11 +376,11 @@ const Chart = (props: ChartProps) => {
               [...chartsList],
               widgetsGapInPercentage
             );
-            let heightInPixes = 240;
+            let heightInPixels = 240;
             if (gridStyles.gridTemplateRows) {
               if (!isNaN(parseInt(gridStyles.gridTemplateRows))) {
                 const heightInVH = parseInt(gridStyles.gridTemplateRows);
-                heightInPixes = getHeightInPixels(heightInVH);
+                heightInPixels = getHeightInPixels(heightInVH);
               }
             }
             return (
@@ -404,7 +404,7 @@ const Chart = (props: ChartProps) => {
                       <Subtitle2 className="chart-title">
                         {chart.title}
                       </Subtitle2>
-                      {renderChart(chart, heightInPixes)}
+                      {renderChart(chart, heightInPixels)}
                     </div>
                   ))}
               </div>
diff --git a/src/App/src/components/Chat/Chat.tsx b/src/App/src/components/Chat/Chat.tsx
@@ -354,7 +354,7 @@ const Chat: React.FC<ChatProps> = ({
       }
       saveToDB(updatedMessages, conversationId, 'graph');
     } catch (e) {
-      console.log("Catched with an error while chat and save", e);
+      console.log("Caught with an error while chat and save", e);
       if (abortController.signal.aborted) {
         if (streamMessage.content) {
           updatedMessages = [
@@ -646,7 +646,7 @@ const Chat: React.FC<ChatProps> = ({
         saveToDB(updatedMessages, conversationId, isChatReq);
       }
     } catch (e) {
-      console.log("Catched with an error while chat and save", e);
+      console.log("Caught with an error while chat and save", e);
       if (abortController.signal.aborted) {
         if (streamMessage.content) {
           updatedMessages = [
