update to docs and dependencies

health-and-lifecycle/README.md

@@ -6,4 +6,4 @@ This example container demonstrates several lifecycle-management aspects:
 * health-check endpoint that is aware of requests being served
 * `SIGTERM` handling for graceful shutdown.
 
-Please see [this documentation article](https://docs.datacrunch.io/containers/scaling) for additional discussion.
+Please see [this documentation article](https://docs.verda.com/containers/scaling) for additional discussion.

health-and-lifecycle/requirements.txt

@@ -9,7 +9,6 @@ logging==0.4.9.6
 pydantic==2.11.3
 pydantic_core==2.33.1
 sniffio==1.3.1
-starlette==0.46.2
 typing-inspection==0.4.0
 typing_extensions==4.13.2
 uvicorn==0.34.2

hello-world/README.md

@@ -1,6 +1,6 @@
 # Hello World! Container
 
-Here is an example of a simple container compatible with DataCrunch serverless containers.
+Here is an example of a simple container compatible with Verda serverless containers.
 
 Build:
 
@@ -23,7 +23,7 @@ Depending on whether you have a GPU available this  will give you the following
 {"message":"Hello world, I can run on cpu|gpu!"}
 ```
 
-To make the container available to DataCrunch Containers, it needs to be pushed to a Docker registry:
+To make the container available to Verda Containers, it needs to be pushed to a Docker registry:
 ```bash
 docker push $YOUR_REGISTRY/hello-world:v1
 ```

whisper-async/health-check.sh

@@ -1,12 +1,12 @@
 #!/bin/bash
-if [ -z "$DATACRUNCH_DEPLOYMENT" ] || [ -z "$DATACRUNCH_BEARER_TOKEN" ]; then
-  echo "Error: DATACRUNCH_DEPLOYMENT and DATACRUNCH_BEARER_TOKEN environment variables must be set"
+if [ -z "$VERDA_DEPLOYMENT" ] || [ -z "$VERDA_BEARER_TOKEN" ]; then
+  echo "Error: VERDA_DEPLOYMENT and VERDA_BEARER_TOKEN environment variables must be set"
   exit 1
 fi
 
-ENDPOINT=https://containers.datacrunch.io/$DATACRUNCH_DEPLOYMENT/health
+ENDPOINT=https://containers.datacrunch.io/$VERDA_DEPLOYMENT/health
 echo "Connecting to health-check endpoint at $ENDPOINT..."
 
 curl -X GET $ENDPOINT \
---header "Authorization: Bearer $DATACRUNCH_BEARER_TOKEN" \
+--header "Authorization: Bearer $VERDA_BEARER_TOKEN" \
 --header "Content-Type: application/json"

whisper-async/inference-webhook.sh

@@ -1,18 +1,18 @@
 #!/bin/bash
-if [ -z "$DATACRUNCH_DEPLOYMENT" ] || [ -z "$DATACRUNCH_BEARER_TOKEN" ]; then
-  echo "Error: DATACRUNCH_DEPLOYMENT and DATACRUNCH_BEARER_TOKEN environment variables must be set"
+if [ -z "$VERDA_DEPLOYMENT" ] || [ -z "$VERDA_BEARER_TOKEN" ]; then
+  echo "Error: VERDA_DEPLOYMENT and VERDA_BEARER_TOKEN environment variables must be set"
   exit 1
 fi
 
 PAYLOAD='{
   "url": "https://tile.loc.gov/storage-services/media/ls/sagan/1958124-3-1.mp3"
 }'
 
-ENDPOINT=https://containers.datacrunch.io/$DATACRUNCH_DEPLOYMENT/generate_webhook
+ENDPOINT=https://containers.datacrunch.io/$VERDA_DEPLOYMENT/generate_webhook
 echo "Connecting to the generate_webhook endpoint at $ENDPOINT..."
 
 curl -v -X POST $ENDPOINT \
---header "Authorization: Bearer $DATACRUNCH_BEARER_TOKEN" \
+--header "Authorization: Bearer $VERDA_BEARER_TOKEN" \
 --header "Content-Type: application/json" \
 --header "Prefer: respond-async-container" \
 --data "$PAYLOAD"

whisper-async/inference.py

@@ -4,8 +4,8 @@
 import signal
 
 def do_test_request() -> None:
-    token = os.environ['DATACRUNCH_BEARER_TOKEN']
-    deployment_name = os.environ['DATACRUNCH_DEPLOYMENT']
+    token = os.environ['VERDA_BEARER_TOKEN']
+    deployment_name = os.environ['VERDA_DEPLOYMENT']
     baseurl = "https://containers.datacrunch.io"
     inference_url = f"{baseurl}/{deployment_name}/generate"
 

whisper-async/inference.sh

@@ -1,18 +1,18 @@
 #!/bin/bash
-if [ -z "$DATACRUNCH_DEPLOYMENT" ] || [ -z "$DATACRUNCH_BEARER_TOKEN" ]; then
-  echo "Error: DATACRUNCH_DEPLOYMENT and DATACRUNCH_BEARER_TOKEN environment variables must be set"
+if [ -z "$VERDA_DEPLOYMENT" ] || [ -z "$VERDA_BEARER_TOKEN" ]; then
+  echo "Error: VERDA_DEPLOYMENT and VERDA_BEARER_TOKEN environment variables must be set"
   exit 1
 fi
 
 PAYLOAD='{
   "url": "https://tile.loc.gov/storage-services/media/ls/sagan/1958124-3-1.mp3"
 }'
 
-ENDPOINT="https://containers.datacrunch.io/$DATACRUNCH_DEPLOYMENT/generate" 
+ENDPOINT="https://containers.datacrunch.io/$VERDA_DEPLOYMENT/generate" 
 echo "Performing async inference at $ENDPOINT"
 
 curl -X POST $ENDPOINT \
---header "Authorization: Bearer $DATACRUNCH_BEARER_TOKEN" \
+--header "Authorization: Bearer $VERDA_BEARER_TOKEN" \
 --header "Content-Type: application/json" \
 --header "Prefer: respond-async" \
 --data "$PAYLOAD"

whisper-async/result.py

@@ -4,9 +4,9 @@
 import signal
 
 def get_result() -> None:
-    token = os.environ['DATACRUNCH_BEARER_TOKEN']
-    deployment_name = os.environ['DATACRUNCH_DEPLOYMENT']
-    async_task_id = os.environ['DATACRUNCH_TASK_ID']
+    token = os.environ['VERDA_BEARER_TOKEN']
+    deployment_name = os.environ['VERDA_DEPLOYMENT']
+    async_task_id = os.environ['VERDA_TASK_ID']
     baseurl = "https://containers.datacrunch.io"
     status_url = f"{baseurl}/result/{deployment_name}"
 

whisper-async/status.py

@@ -4,9 +4,9 @@
 import signal
 
 def get_status() -> None:
-    token = os.environ['DATACRUNCH_BEARER_TOKEN']
-    deployment_name = os.environ['DATACRUNCH_DEPLOYMENT']
-    async_task_id = os.environ['DATACRUNCH_TASK_ID']
+    token = os.environ['VERDA_BEARER_TOKEN']
+    deployment_name = os.environ['VERDA_DEPLOYMENT']
+    async_task_id = os.environ['VERDA_TASK_ID']
     baseurl = "https://containers.datacrunch.io"
     result_url = f"{baseurl}/status/{deployment_name}"
 

whisper/Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.12
+FROM python:3.14
 
 WORKDIR /app
 COPY requirements.txt .

whisper/README.md

@@ -1,11 +1,11 @@
 # Whisper Container
 
-Here is an example of fully operational [Whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) endpoint containerized for use with DataCrunch containers.
+Here is an example of fully operational [Whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) endpoint containerized for use with Verda containers.
 
 This container implements two endpoints:
 
 * `/generate` - a standard Whisper speech-to-text endpoint
-* `/health` - health-check on the container used by DataCrunch Containers to make sure the container us running and healthy.
+* `/health` - health-check on the container used by Verda Containers to make sure the container us running and healthy.
 
 Build:
 
@@ -18,13 +18,13 @@ Push to a Docker registry:
 docker push $YOUR_REGISTRY/whisper:v1
 ```
 
-When the container starts, it will fetch the model weights from Hugging Face. Therefore, to run the container you will need to supply your [Hugging Face User access token](https://huggingface.co/docs/hub/en/security-tokens) as an environment variable `HF_TOKEN`. This can be easily done via DataCrunch Containers UI.
+When the container starts, it will fetch the model weights from Hugging Face. Therefore, to run the container you will need to supply your [Hugging Face User access token](https://huggingface.co/docs/hub/en/security-tokens) as an environment variable `HF_TOKEN`. This can be easily done via Verda Containers UI.
 
-Once the container has been deployed on DataCrunch, and the endpoint is runnning, you can testing by running the following, which will send the `audio.wav` file to the endpoint for transcription:
+Once the container has been deployed on Verda, and the endpoint is runnning, you can test it by running the following, which will send the `audio.wav` file to the endpoint for transcription:
 
 ```bash
-export DATACRUNCH_CONTAINER_URL=https://containers.datacrunch.io/<NAME_OF_YOUR_DEPLOYMENT>/generate
-export DATACRUNCH_BEARER_TOKEN=dc_<YOUR_BEARER_TOKEN>
+export VERDA_CONTAINER_URL=https://containers.datacrunch.io/<NAME_OF_YOUR_DEPLOYMENT>/generate
+export VERDA_BEARER_TOKEN=dc_<YOUR_BEARER_TOKEN>
 
 ./inference.sh
 ```

whisper/health-check.sh

@@ -1,9 +1,9 @@
 #!/bin/bash
-if [ -z "$DATACRUNCH_CONTAINER_URL" ] || [ -z "$DATACRUNCH_BEARER_TOKEN" ]; then
-  echo "Error: DATACRUNCH_CONTAINER_URL and DATACRUNCH_BEARER_TOKEN environment variables must be set"
+if [ -z "$VERDA_CONTAINER_URL" ] || [ -z "$VERDA_BEARER_TOKEN" ]; then
+  echo "Error: VERDA_CONTAINER_URL and VERDA_BEARER_TOKEN environment variables must be set"
   exit 1
 fi
 
-curl -X GET "$DATACRUNCH_CONTAINER_URL/health" \
---header "Authorization: Bearer $DATACRUNCH_BEARER_TOKEN" \
+curl -X GET "$VERDA_CONTAINER_URL/health" \
+--header "Authorization: Bearer $VERDA_BEARER_TOKEN" \
 --header "Content-Type: application/json"

whisper/inference.sh

@@ -1,12 +1,12 @@
 #!/bin/bash
-if [ -z "$DATACRUNCH_CONTAINER_URL" ] || [ -z "$DATACRUNCH_BEARER_TOKEN" ]; then
-  echo "Error: DATACRUNCH_CONTAINER_URL and DATACRUNCH_BEARER_TOKEN environment variables must be set"
+if [ -z "$VERDA_CONTAINER_URL" ] || [ -z "$VERDA_BEARER_TOKEN" ]; then
+  echo "Error: VERDA_CONTAINER_URL and VERDA_BEARER_TOKEN environment variables must be set"
   exit 1
 fi
 
-echo "Calling API at $DATACRUNCH_CONTAINER_URL/generate"
+echo "Calling API at $VERDA_CONTAINER_URL/generate"
 
 curl -X POST \
 -F "file=@audio.wav" \
-"$DATACRUNCH_CONTAINER_URL/generate" \
---header "Authorization: Bearer $DATACRUNCH_BEARER_TOKEN"
+"$VERDA_CONTAINER_URL/generate" \
+--header "Authorization: Bearer $VERDA_BEARER_TOKEN"

whisper/requirements.txt

@@ -1,8 +1,8 @@
 fastapi==0.115.12
 uvicorn==0.34.2
-torch==2.6.0
-torchaudio==2.6.0
-transformers==4.51.3
+torch==2.9.0
+torchaudio==2.9.0
+transformers==4.53.0
 soundfile==0.13.1
 safetensors==0.5.3
 accelerate==1.6.0