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import numpy as np
import pandas as pd
from sentence_transformers import SentenceTransformer
class ModelFactory():
def __init__(self):
pass
def create_model(self, model_type):
model = None
if (model_type=='all-MiniLM-L6-v2'):
model = MiniLM_L6_v2_Model()
if (model_type=='sentence_similarity_spanish'):
model = SentenceSimilaritySpanishModel()
return model
class BaseModel():
def __init__(self):
pass
def retrieve_embeddings(self, input_text):
embeddings = self.model.encode(input_text, batch_size=32)
embeddings *= 255
embeddings = embeddings.astype(np.uint8).tolist()
return embeddings
class MiniLM_L6_v2_Model(BaseModel):
def __init__(self):
self.model = SentenceTransformer('all-MiniLM-L6-v2')
class SentenceSimilaritySpanishModel(BaseModel):
def __init__(self):
self.model = SentenceTransformer('hiiamsid/sentence_similarity_spanish_es')
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