More updates based on reviewing the code

Jim Bennett · Jim Bennett · commit 7317730d6eb2 · 2019-11-08T16:09:24.000-05:00
diff --git a/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/AnalyseThePhotoUsingAI.md b/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/AnalyseThePhotoUsingAI.md
@@ -234,4 +234,4 @@ The `emotion` value on the document is set to the most likely emotion using the
 
 ## Next step
 
-In this step you analyzed the image for faces using AI, checking each face for emotion. In the [next step](./SaveTheResultsToADatabase.md) you will save the results of the analysis into a database.
+In this step you analyzed the image for faces using AI, checking each face for emotion. In the [next step](./SaveTheResultsToADatabase.md) you will create a Cosmos DB collection, and save the results of the analysis into this collection.
diff --git a/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/ReturnTheEmotionCount.md b/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/ReturnTheEmotionCount.md
@@ -1,6 +1,6 @@
 # Return the count of each emotion from the Web Api
 
-In the [previous step](./SaveTheResultsToADatabase.md) you created a Cosmos DB collection, and saved the results of the analysis into a database. In this step you will return the count of each emotion from this Web Api.
+In the [previous step](./SaveTheResultsToADatabase.md) you created a Cosmos DB collection, and saved the results of the analysis into this collection. In this step you will return the count of each emotion from this Web Api.
 
 ## Extracting and manipulating the data
 
diff --git a/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/SaveTheResultsToADatabase.md b/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/SaveTheResultsToADatabase.md
@@ -1,6 +1,6 @@
 # Save the face details to a database
 
-In the [previous step](./AnalyseThePhotoUsingAI.md) you analyzed the image for faces using AI, checking each face for emotion. In this step you will save the results of the analysis into a database.
+In the [previous step](./AnalyseThePhotoUsingAI.md) you analyzed the image for faces using AI, checking each face for emotion. In this step you will create a Cosmos DB collection, and save the results of the analysis into this collection.
 
 ## Cosmos DB account
 
@@ -114,26 +114,6 @@ There is a Cosmos DB client available as a Python package.
 
 * Save the file
 
-## Deploy the code
-
-* Open the command palette:
-  * On Windows, press Ctrl+Shift+P
-  * On MacOS, press Cmd+Shift+P
-
-* Select *Azure App Service: Deploy to Web App...*
-  
-  ![The command palette showing the Azure App Service: Deploy to Web App option](../Images/CommandPaletteDeployAppService.png)
-
-* A dialog will pop up asking if you want to overwrite the existing deployment. Select the **Deploy** button.
-  
-  ![The overwrite existing deploy dialog](../Images/OverwriteDeploy.png)
-
-* A popup will appear showing the deployment progress. You can monitor the progress from the *Output* window by selecting *View -> Output* and selecting *Azure App Service* from the window selector.
-  
-  ![The deploy progress dialog](../Images/DeployProgress.png)
-
-* Open the web site in your browser to verify that everything is working correctly.
-
 ## What does this code do
 
 The overall flow of this code is:
@@ -177,4 +157,4 @@ The `doc` object contains the face information, and it is inserted into the coll
 
 ## Next steps
 
-In this step you created a Cosmos DB collection, and saved the results of the analysis into a database. In the [next step](./ReturnTheEmotionCount.md) you will return the count of each emotion from this Web Api.
+In this step you created a Cosmos DB collection, and saved the results of the analysis into this collection. In the [next step](./ReturnTheEmotionCount.md) you will return the count of each emotion from this Web Api.
diff --git a/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/ViewTheResults.md b/Events and Hacks/Student Hacks/mood-detector-workshop/Steps/ViewTheResults.md
@@ -32,7 +32,7 @@ Templates live in a folder called `templates`.
     <body>
       <table border = 1>
         <tr>
-          <td>Emotion</td>
+          <th>Emotion</th>
         </tr>
         {% for row in result %}
           <tr>
@@ -51,7 +51,7 @@ Templates live in a folder called `templates`.
 * At the start of the file import the `render_template` member from the flask module by adding it to the existing import statement
   
   ```python
-  from flask import Flask, request, render_template
+  from flask import Flask, request, jsonify, render_template
   ```
 
 * Replace the `home` function with the following code:
@@ -133,6 +133,13 @@ This is also template code. For each `row` in the `results`, this code outputs a
 
 ### The `app.py` file
 
+```python
+from flask import Flask, request, jsonify, render_template
+```
+
+This tells the Python compiler that we want to use code in the `render_template` module. This module was installed as part of the `flask` package.
+
+
 ```python
 docs = list(client.ReadItems(cosmos_collection_link))
 ```

Original file line number	Diff line number	Diff line change
@@ -234,4 +234,4 @@ The `emotion` value on the document is set to the most likely emotion using the
`234`	`234`
`235`	`235`	`## Next step`
`236`	`236`
`237`		`-In this step you analyzed the image for faces using AI, checking each face for emotion. In the [next step](./SaveTheResultsToADatabase.md) you will save the results of the analysis into a database.`
	`237`	`+In this step you analyzed the image for faces using AI, checking each face for emotion. In the [next step](./SaveTheResultsToADatabase.md) you will create a Cosmos DB collection, and save the results of the analysis into this collection.`