docs: aws CLI is required

README.md

@@ -105,8 +105,8 @@ paka cluster down -f cluster.yaml
 
 ## Dependencies
 - docker daemon and CLI
-- credentials for the AWS cloud
+- AWS CLI
 ```bash
-# Ensure your AWS credentials are correctly configured. Execute the command below and verify that the keys `aws_access_key_id` and `aws_secret_access_key` are present.
-cat ~/.aws/credentials
+# Ensure your AWS credentials are correctly configured.
+aws configure
 ```

examples/invoice_extraction/README.md

@@ -6,52 +6,52 @@ This code provides an example of how to build a RESTful API that converts an inv
 Follow the steps below to run the example:
 
 1. **Install the necessary dependencies:**
-  ```bash
-  pip install paka
+```bash
+pip install paka
 
-  cat ~/.aws/credentials
-  # Make sure you have the following keys aws_access_key_id and aws_secret_access_key
-  ```
+# Install AWS CLI and ensure your AWS credentials are correctly configured.
+aws configure
+```
 
 2. **Ensure the Docker daemon is running:**
-  ```bash
-  docker info
-  ```
+```bash
+docker info
+```
 
 3. **Provision the cluster:**
-  ```bash
-  cd examples/invoice_extraction
+```bash
+cd examples/invoice_extraction
 
-  # Provision the cluster and update ~/.kube/config
-  paka cluster up -f cluster.yaml -u
+# Provision the cluster and update ~/.kube/config
+paka cluster up -f cluster.yaml -u
 
-  # Provision a cluster with Nvidia GPUs
-  paka cluster up -f gpu_cluster.yaml -u
-  ```
+# Provision a cluster with Nvidia GPUs
+paka cluster up -f gpu_cluster.yaml -u
+```
 
 4. **Deploy the App:**
-  ```bash
-  # The command below will build the source and deploy it as a serverless function.
-  paka function deploy --name invoice-extraction --source . --entrypoint serve
-  ```
+```bash
+# The command below will build the source and deploy it as a serverless function.
+paka function deploy --name invoice-extraction --source . --entrypoint serve
+```
 
 5. **Check the status of the functions:**
-  ```bash
-  paka function list
-  ```
+```bash
+paka function list
+```
 
-  If everything is successful, you should see the function in the list with a status of "READY". By default, the function is exposed through a publicly accessible REST API endpoint.
+If everything is successful, you should see the function in the list with a status of "READY". By default, the function is exposed through a publicly accessible REST API endpoint.
 
 6. **Test the App:**
 
-  Submit the PDF invoices by hitting the `/extract_invoice` endpoint of the deployed function.
+Submit the PDF invoices by hitting the `/extract_invoice` endpoint of the deployed function.
 
-  ```bash
-  curl -X POST -H "Content-Type: multipart/form-data" -F "file=@/path/to/invoices/invoice-2024-02-29.pdf" http://invoice-extraction.default.xxxx.sslip.io/extract_invoice
-  ```
+```bash
+curl -X POST -H "Content-Type: multipart/form-data" -F "file=@/path/to/invoices/invoice-2024-02-29.pdf" http://invoice-extraction.default.xxxx.sslip.io/extract_invoice
+```
 
-  If the invoice extraction is successful, you should see the structured data in the response, e.g.
+If the invoice extraction is successful, you should see the structured data in the response, e.g.
 
-  ```json
-  {"number":"#25927345","date":"2024-01-31T05:07:53","company":"Akamai Technologies, Inc.","company_address":"249 Arch St. Philadelphia, PA 19106 USA","tax_id":"United States EIN: 04-3432319","customer":"John Doe","customer_address":"1 Hacker Way Menlo Park, CA  94025","amount":"$5.00"}
-  ```
+```json
+{"number":"#25927345","date":"2024-01-31T05:07:53","company":"Akamai Technologies, Inc.","company_address":"249 Arch St. Philadelphia, PA 19106 USA","tax_id":"United States EIN: 04-3432319","customer":"John Doe","customer_address":"1 Hacker Way Menlo Park, CA  94025","amount":"$5.00"}
+```

examples/website_rag/README.md

@@ -9,8 +9,8 @@ To run the example, first install the necessary dependencies:
 ```bash
 pip install paka
 
-# Ensure your AWS credentials are correctly configured. Execute the command below and verify that the keys `aws_access_key_id` and `aws_secret_access_key` are present.
-cat ~/.aws/credentials
+# Install AWS CLI and ensure your AWS credentials are correctly configured.
+aws configure
 ```
 
 ### Make sure docker daemon is running