.env

SERVER_PORT=5000
SERVER_SOCKET=http://host.docker.internal:5000

DATABASE_USERNAME=root
DATABASE_PASSWORD=secret


# Enabled Prediction Models
# Set the name here to that of the folder name in prediction/models containing the model

# Image/Video Models
PREDICTION_IMAGE_TEMPLATE=PredictionImageTemplateMicroservice
PREDICTION_VIDEO_TEMPLATE=PredictionVideoTemplateMicroservice
PREDICTION_SPEECH_REC=SpeechRec_NERMicroservice
PREDICTION_AVERAGE_PIXEL=AveragePixelMicroservice
PREDICTION_FACE_DETECT=FaceDetectMicroservice
PREDICTION_IMAGE_HASH=HashMicroservice
PREDICTION_IMAGE_SHAPE=ImageShapeMicroservice
PREDICTION_SCENE_DETECT=SceneDetectMicroservice-V2
PREDICTION_OBJECT_DETECTION=ObjectDetectionMicroservice

# Text Models
PREDICTION_SENTIMENT_TEXT=SentimentAnalysisMicroservice
PREDICTION_SIMPLE_TEXT=SimpleTextMicroservice
PREDICTION_NER_TEXT=NERMicroservice
PREDICTION_EXAMPLE_TEXT = ExampleMicroservice

# API Keys For Training
API_KEY_TRAINING=8be1ee37-055b-40dc-8967-98b542e58fd4


# Dataset Information
# Add an environment variable here per dataset
MNIST_FASHION_DATASET_LOCATION=./training/datasets/mnist_fashion_reduced_size