{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "b467bae1-eefa-426d-b7d8-f71db5fff8ac",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import boto3, json"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "990ae599-b391-4a50-8932-c34685c53cc0",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 6.14 ms, sys: 1.63 ms, total: 7.76 ms\n",
"Wall time: 7.21 ms\n"
]
}
],
"source": [
"%%time\n",
"\n",
"endpoint_name='ramp-202303-staging'\n",
"runtime = boto3.client(service_name=\"sagemaker-runtime\")\n",
"\n",
"paths2audio_files = f\"../1.building-component/data/preprocessing/an4/wav/an4test_clstk/fcaw/an406-fcaw-b.wav\""
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "5d952dfb-d3af-4a3b-b0d3-bcf5b452da11",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import librosa\n",
"import IPython.display as ipd\n",
"\n",
"# Load and listen to the audio file\n",
"audio, sample_rate = librosa.load(paths2audio_files)\n",
"\n",
"ipd.Audio(paths2audio_files, rate=sample_rate)"
]
},
{
"cell_type": "markdown",
"id": "ee6d9303-6453-48f6-865c-f820806f721f",
"metadata": {},
"source": [
"## Prediction - SageMaker SDK"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "3a3e1b4f-bc95-446f-9d5b-68e3121f8cd9",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from sagemaker.predictor import Predictor\n",
"predictor = Predictor(endpoint_name=endpoint_name)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "dc4744ba-023e-41bd-a51a-7e8a7bc17731",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from sagemaker.serializers import DataSerializer\n",
"predictor.serializer = DataSerializer()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "faa335ae-b89c-42da-959d-5b829d46721b",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"b'{\"result\": [\" \"]}'"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predictor.predict(paths2audio_files)"
]
},
{
"cell_type": "markdown",
"id": "b7a0c64e-4f0e-4878-b81d-f986ac4e019a",
"metadata": {},
"source": [
"## Prediction - boto3 SDK "
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "246963bd-d5ed-45ec-8104-4207c37c0a1c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"with open(paths2audio_files, \"rb\") as f:\n",
" body = f.read()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "6f6cedb6-6fd1-44de-acaf-c1adbc9898bc",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'result': [' ']}\n"
]
}
],
"source": [
"response = runtime.invoke_endpoint(\n",
" EndpointName=endpoint_name,\n",
" Body=body\n",
")\n",
"\n",
"print(json.loads(response['Body'].read().decode()))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9ec8fca8-dd3e-4db3-ae3c-c2b46d42ab3d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"instance_type": "ml.t3.medium",
"kernelspec": {
"display_name": "conda_pytorch_p39",
"language": "python",
"name": "conda_pytorch_p39"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}