def get_models(event, context):
try:
res = aih_client.list_models()
return aih.response(res)
except Exception as e:
exception_type = e.__class__.__name__
exception_message = str(e)
api_exception_obj = {
"isError": True,
"type": exception_type,
"message": exception_message
}
# Create a JSON string
api_exception_json = json.dumps(api_exception_obj)
raise aih.LambdaException(api_exception_json)
def polly_speak(event, context):
try:
text = json.loads(event["body"])["text"]
res = aih_client.speak(text=text)
return aih.response(res)
except Exception as e:
exception_type = e.__class__.__name__
exception_message = str(e)
api_exception_obj = {
"isError": True,
"type": exception_type,
"message": exception_message
}
api_exception_json = json.dumps(api_exception_obj)
raise aih.LambdaException(api_exception_json)
def stop_training(event, context):
try:
model_id = event["pathParameters"]["modelId"]
res = aih_client.stop_training(model_id=model_id)
return aih.response(res)
except Exception as e:
exception_type = e.__class__.__name__
exception_message = str(e)
api_exception_obj = {
"isError": True,
"type": exception_type,
"message": exception_message
}
api_exception_json = json.dumps(api_exception_obj)
raise aih.LambdaException(api_exception_json)
def detect_face(event, context):
try:
body = json.loads(event["body"])
file = body["file"]
binary_data_file = base64.b64decode(file)
res = aih_client.detect_face(file_binary=binary_data_file)
return aih.response(res)
except Exception as e:
exception_type = e.__class__.__name__
exception_message = str(e)
api_exception_obj = {
"isError": True,
"type": exception_type,
"message": exception_message
}
api_exception_json = json.dumps(api_exception_obj)
raise aih.LambdaException(api_exception_json)
def start_training(event, context):
try:
body = json.loads(event["body"]) if event["body"] else {}
instance_type = body[
"instance_type"] if 'instance_type' in body else None
res = aih_client.train_model(instance_type=instance_type)
return aih.response(res)
except Exception as e:
exception_type = e.__class__.__name__
exception_message = str(e)
api_exception_obj = {
"isError": True,
"type": exception_type,
"message": exception_message
}
# Create a JSON string
api_exception_json = json.dumps(api_exception_obj)
raise aih.LambdaException(api_exception_json)
def upload_faces(event, context):
try:
body = json.loads(event["body"])
fullname = body["fullname"]
files = body["files"]
images = []
for file in files:
images.append(base64.b64decode(file))
res = aih_client.upload_images(fullname=fullname, images=images)
return aih.response(res)
except Exception as e:
exception_type = e.__class__.__name__
exception_message = str(e)
api_exception_obj = {
"isError": True,
"type": exception_type,
"message": exception_message
}
# Create a JSON string
api_exception_json = json.dumps(api_exception_obj)
raise aih.LambdaException(api_exception_json)
