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main.py
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main.py
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import grpc
from concurrent import futures
import logging
import vector_service_pb2_grpc
import vector_service_pb2
from datasets import load_dataset
from text_transformer.text_transformer import TextTransformer, clean_text
# Initialize text transformer
transformer = TextTransformer("justin871030/bert-base-uncased-goemotions-original-finetuned")
# VectorServiceServicer provides an implementation of the methods of the Vector service.
class VectorServiceServicer(vector_service_pb2_grpc.VectorServiceServicer):
def GetEmbedding(self, request, context):
"""
Retrieves the embedding for a given input.
"""
# TODO: Not yet implemented
response = vector_service_pb2.GetEmbeddingResponse()
return response
def GetSimilarity(self, request, context):
"""
Computes and returns the similarity between two vectors.
"""
# TODO: Not yet implemented
transformer.compare_similarity(request.input_embedding)
response = vector_service_pb2.GetSimilarityResponse()
response.matches = []
return response
def LoadQueries(self, request, context):
"""
Loads the queries into the text transformer.
"""
cleaned_queries = [clean_text(query) for query in request.queries]
transformer.load_queries(cleaned_queries)
return vector_service_pb2.LoadQueryResponse()
def serve():
# Start server
server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
vector_service_pb2_grpc.add_VectorServiceServicer_to_server(
VectorServiceServicer(), server
)
server.add_insecure_port("[::]:50051")
server.start()
print("Listening on port 50051")
server.wait_for_termination()
if __name__ == "__main__":
logging.basicConfig()
serve()