Delete deploy.py

deploy.py

@@ -1,37 +0,0 @@
-import json
-import sagemaker
-import boto3
-from sagemaker.huggingface import HuggingFaceModel, get_huggingface_llm_image_uri
-
-try:
-	role = sagemaker.get_execution_role()
-except ValueError:
-	iam = boto3.client('iam')
-	role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']
-
-# Hub Model configuration. https://huggingface.co/models
-hub = {
-	'HF_MODEL_ID':'oMarquess/trained-2k10-v4-model-merged',
-	'SM_NUM_GPUS': json.dumps(1)
-}
-
-
-
-# create Hugging Face Model Class
-huggingface_model = HuggingFaceModel(
-	image_uri=get_huggingface_llm_image_uri("huggingface",version="0.9.3"),
-	env=hub,
-	role=role, 
-)
-
-# deploy model to SageMaker Inference
-predictor = huggingface_model.deploy(
-	initial_instance_count=1,
-	instance_type="ml.g5.2xlarge",
-	container_startup_health_check_timeout=300,
-  )
-  
-# send request
-predictor.predict({
-	"inputs": "My name is Julien and I like to",
-})