Merge branch 'main' into pob-appdev-integration

Author: MarcelStraka

ai/ai-speech/podcast-generator/Podcast-md/README.md

@@ -60,6 +60,8 @@ Identify the compartment you're currently working within. Navigate to 'Identity'
 * Automatically a podcast script will be created and will generate the audio podcast using the Cindy and Bob voices
   ![alt text](generated.jpg)
 
+## Notes
+* It is important to note that, as of the time of writing this tutorial, the Speech-to-Text service is available exclusively in the Phoenix region.
 
 ## I hope you liked it.
 Author: Jesús Brasero

ai/ai-speech/podcast-generator/README.md

@@ -5,15 +5,70 @@ The application is designed to streamline podcast production through advanced AI
 This application is built using Oracle Visual Builder Cloud Service (VBCS), a powerful low-code platform that simplifies development and accelerates the creation of robust applications without extensive coding. With this low-code approach, even complex workflows are straightforward to set up, allowing developers to focus on leveraging AI's potential for high-quality audio synthesis.
 This AI-powered solution not only automates and optimizes the podcast creation process but also allows content creators to deliver professional audio content at scale efficiently.
 
-Reviewed: 22.11.2024
+Reviewed: 26.11.2024
 
-# When to use this asset?
- 
-See the README document in the /Podcast-md folder.
- 
-# How to use this asset?
+# **1. Prepare your user**
+   
+   In Oracle Cloud Infrastructure (OCI), API keys are used for secure authentication when accessing OCI resources through REST APIs. OCI API keys consist of two parts: a Public key and a Private key. You use the OCI console to generate the Private/Public key pair.
+   Generate API Keys using OCI Console
+    To Generate the API Keys using OCI Console:
+
+  - Login into your OCI Account.
+   ![alt text]![alt text](Podcast-md/ak1.png)
+  - Click on the Profile icon at the top-right corner and select your Profile hyperlink.
+   ![alt text](Podcast-md/ak2.png)
+  - Under Resources section at the bottom-left, select API Keys and then click Add API Key.
+   ![alt text](Podcast-md/ak3.png)
+  - The Add API Key dialog is displayed. Select Generate API Key Pair to create a new key pair.
+  ![alt text](Podcast-md/ak4.png)
+  - Click Download Private Key. A .pem file is saved to your local device. You do not need to download the public key and click Add button.
+  ![alt text](Podcast-md/ak5.png)
+  
+
+
+# **2.Pick you compartment**
+Identify the compartment you're currently working within. Navigate to 'Identity' -> 'Compartments'. Locate your compartment and make a note of its OCID (Oracle Cloud Identifier)
+
+# **3.Open Visual Builder**
+## Import Visual Builder project
+* Open Visual Builder and click on the "Import" button. Choose "Application from file".
+* Drop the zip project file
+* Provide a name and an ID, for example "Podcast_Generator". Click on Import button.
+ ![alt text](Podcast-md/import_project.jpg)
+  
+## Configure REST APIs authentication
+* Open the recently created project.
 
-See the README document in the /Podcast-md folder.
+* Click on Services button (left side) and click on "Backends"
+ ![alt text](Podcast-md/services.jpg)
+
+* Now, click on TTS, and Servers to edit server authentication.
+![alt text](Podcast-md/edit_tts.jpg)
+
+* Click the pencil to provide the OCI Crendentials
+ ![alt text](Podcast-md/edit_tts_2.jpg)
+
+* Provide the crendentials you got during the step 1.
+ ![alt text](Podcast-md/signature.jpg)
+
+* Repeat the same process with the GenAI backend.
+
+## Provide your compartmentId 
+* Provide compartmentId default value in the project variable named "comparmentid" that you got during the step 2.
+ ![alt text](Podcast-md/compartmentid.jpg)
+
+#  **4.Preview the application**
+* Now can provide a topic in the text area and click "generate" button. 
+ ![alt text](Podcast-md/preview.jpg)
+
+* Automatically a podcast script will be created and will generate the audio podcast using the Cindy and Bob voices
+  ![alt text](Podcast-md/generated.jpg)
+
+## Notes
+* It is important to note that, as of the time of writing this tutorial, the Speech-to-Text service is available exclusively in the Phoenix region.
+
+## I hope you liked it.
+Author: Jesús Brasero
 
 # License
 

cloud-infrastructure/private-cloud-and-edge/compute-cloud-at-customer/local-llm/README.md

@@ -1,4 +1,4 @@
-*Last Update: 23 November 2024*
+*Last Update: 27 November 2024*
 
 <br><h1 align="center">Local LLM Inferencing and Interaction<br>Using the Ollama Open Source Tool</h1>
 <p align="center"><img align="centre" src="./images/ollama-logo.png" width="10%" style="float:right"/></p>
@@ -65,8 +65,7 @@ Create a VM in a public subnet following these guidelines:
 10. Ensure that the VM is accessible via `ssh`
 11. Configure the proxy setup if required (described below)
 12. Update your local host's `/etc/hosts` file to reflect your public IP address for `llm-host`
-13. Should you have a proxy'd network follow the instruction in the "Proxy Settings" section below prior to performing the next step
-14. Perform an OS update in `llm-host` before proceeding:
+13. Perform an OS update in `llm-host` before proceeding:
 
 ```
 sudo dnf update
@@ -267,16 +266,16 @@ ollama help serve
 
 Download and test your first LLM (and you will notice the population of `/mnt/llm-repo` with data by running `ls -lR /mnt/llm-repo`):
 
-<p><img src="./images/ollama-pull-and-test.png" title="Ollama pull/test Llama3.2" width="75%" style="float:right"/></p>
+<p><img src="./images/ollama-pull-and-test.png" title="Ollama pull/test mistral" width="75%" style="float:right"/></p>
 
 Run some more tests from your client to test the APIs:
 
 ```
 $ curl http://llm-host:11434/api/tags
 $ curl http://llm-host:11434/api/ps
 $ curl -X POST http://llm-host:11434/api/generate -d '{
-  "model": "llama3.2",
-  "prompt":"Hello Llama3.2!",
+  "model": "mistral",
+  "prompt":"Hello Mistral!",
   "stream": false
  }'
 ```
@@ -294,8 +293,8 @@ Install any of the GUI clients mentioned previously and test the connectivity an
 1. Create a Remote Models Provider
 2. Name it appropriately
 3. The Service Endpoint is `http://llm-host:11434`
-4. "Fetch Models" (that are already installed, in this case `llama3.2`)
-5. This step can be repeated as new models are added
+4. "Fetch Models" (that are already installed, in this case `mistral`)
+5. This step can be repeated as new models are added from the Ollama model repository
 
 Example output as follows:
 

cloud-infrastructure/private-cloud-and-edge/compute-cloud-at-customer/local-llm/images/msty-example.png

@@ -2,7 +2,7 @@
 
 Use Monitoring to query metrics and manage alarms. Metrics and alarms help monitor the health, capacity, and performance of your cloud resources.
 
-Reviewed: 02.10.2024
+Reviewed: 25.11.2024
 
 # Table of Contents
 
@@ -17,6 +17,7 @@ Reviewed: 02.10.2024
 - [Customised Alarm Notification in OCI](https://karthicin.medium.com/customised-alarm-notification-in-oci-e5b367ca20bc)
 - [How to monitor the resource usage on your OCI Instances using Cloud Guard Instance Security Queries](https://learnoci.cloud/how-to-monitor-the-resource-usage-on-your-oci-instances-using-cloud-guard-instance-security-queries-342836ca2811)
 - [How to install Arkime(Moloch) using embedded Open Search](https://learnoci.cloud/how-to-install-arkime-moloch-using-embedded-open-search-19a7a58f8eff)
+- [OCI resource scheduler](https://learnoci.cloud/oci-resource-scheduler-997f83e2b063)
 
 # Useful Links