chore: import upstream snapshot with attribution

doc/source/serve/tutorials/video-analysis/ci/aws.yaml

@@ -0,0 +1,19 @@
+cloud_id: {{ env["ANYSCALE_CLOUD_ID"] }}
+region: us-west-2
+
+# Cluster resources
+head_node_type:
+  name: head
+  instance_type: m5.2xlarge
+  resources:
+    cpu: 8
+
+worker_node_types:
+  - name: 16CPU-64GB
+    instance_type: m8i.4xlarge
+    min_workers: 1
+    max_workers: 32
+  - name: 4CPU-16GB-1GPU
+    instance_type: g6.xlarge
+    min_workers: 1
+    max_workers: 32

doc/source/serve/tutorials/video-analysis/ci/build.sh

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+#!/bin/bash
+
+set -euxo pipefail
+
+# Install Python dependencies
+pip3 install --no-cache-dir \
+    "numpy>=1.24.0,<2.0" \
+    "torch>=2.0.0" \
+    "transformers>=4.35.0" \
+    "accelerate>=0.25.0" \
+    "sentencepiece>=0.1.99" \
+    "httpx>=0.25.0" \
+    "aioboto3>=12.0.0" \
+    "pillow>=10.0.0"
+
+
+sudo apt-get update && sudo apt-get install -y --no-install-recommends \
+    ffmpeg \
+    && sudo rm -rf /var/lib/apt/lists/*
+
+export S3_BUCKET=anyscale-example-video-analysis-test-bucket

doc/source/serve/tutorials/video-analysis/ci/gce.yaml

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+cloud_id: {{ env["ANYSCALE_CLOUD_ID"] }}   # required; set by CI
+region: us-central1
+
+# Cluster resources
+head_node_type:
+  name: head
+  instance_type: n1-standard-8
+  resources:
+    cpu: 8
+
+worker_node_types:
+  - name: 16CPU-64GB-GPU
+    instance_type: n4-standard-16
+    min_workers: 1
+    max_workers: 32
+  - name: 4CPU-16GB-GPU
+    instance_type: g2-standard-4
+    min_workers: 1
+    max_workers: 32

doc/source/serve/tutorials/video-analysis/ci/nb2py.py

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+#!/usr/bin/env python3
+import argparse
+import nbformat
+
+
+def convert_notebook(input_path: str, output_path: str) -> None:
+    """
+    Read a Jupyter notebook and write a Python script.
+    Cells that load or autoreload extensions are ignored.
+    """
+    nb = nbformat.read(input_path, as_version=4)
+    with open(output_path, "w") as out:
+        for cell in nb.cells:
+            if cell.cell_type != "code":
+                continue
+
+            lines = cell.source.splitlines()
+            # Skip cells that load or autoreload extensions
+            if any(
+                l.strip().startswith("%load_ext autoreload")
+                or l.strip().startswith("%autoreload all")
+                for l in lines
+            ):
+                continue
+
+            out.write(cell.source.rstrip() + "\n\n")
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Convert a Jupyter notebook to a Python script."
+    )
+    parser.add_argument("input_nb", help="Path to the input .ipynb file")
+    parser.add_argument("output_py", help="Path for the output .py script")
+    args = parser.parse_args()
+    convert_notebook(args.input_nb, args.output_py)
+
+
+if __name__ == "__main__":
+    main()

doc/source/serve/tutorials/video-analysis/ci/tests.sh

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+#!/bin/bash
+
+set -euxo pipefail
+
+S3_BUCKET=anyscale-example-video-analysis-test-bucket
+
+export S3_BUCKET
+
+python ci/nb2py.py README.ipynb README.py # convert notebook to py script
+python README.py
+rm README.py  # remove the generated script