jj

app.py

@@ -0,0 +1,34 @@
+import sagemaker
+import boto3
+from sagemaker.huggingface import HuggingFaceModel
+
+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':'microsoft/speecht5_tts',
+	'HF_TASK':'text-to-speech'
+}
+
+# create Hugging Face Model Class
+huggingface_model = HuggingFaceModel(
+	transformers_version='4.26.0',
+	pytorch_version='1.13.1',
+	py_version='py39',
+	env=hub,
+	role=role, 
+)
+
+# deploy model to SageMaker Inference
+predictor = huggingface_model.deploy(
+	initial_instance_count=1, # number of instances
+	instance_type='ml.m5.xlarge' # ec2 instance type
+)
+
+predictor.predict({
+	"inputs": "The answer to the universe is 42",
+})

flagged/log.csv

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+Enter code to translate,"Source Language (e.g., English)","Target Language (e.g., German)",Translated Code,flag,username,timestamp
+print(),Python,C++,,,,2023-08-15 15:15:41.981106
+"print(""hellow world"")",python,C++,"convert the below python code to C++ code: print(""hellow world""), and then start with the r = n - s - d. in essence, the number of letters has to be a key, like a combination of two",,,2023-08-15 16:57:35.034180