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from dotenv import load_dotenv | |
from openai import AsyncOpenAI, OpenAI | |
import openai | |
from typing import List | |
import os | |
import asyncio | |
class EmbeddingModel: | |
def __init__(self, embeddings_model_name: str = "text-embedding-3-small"): | |
load_dotenv() | |
self.openai_api_key = os.getenv("OPENAI_API_KEY") | |
self.async_client = AsyncOpenAI() | |
self.client = OpenAI() | |
if self.openai_api_key is None: | |
raise ValueError( | |
"OPENAI_API_KEY environment variable is not set. Please set it to your OpenAI API key." | |
) | |
openai.api_key = self.openai_api_key | |
self.embeddings_model_name = embeddings_model_name | |
async def async_get_embeddings(self, list_of_text: List[str]) -> List[List[float]]: | |
embedding_response = await self.async_client.embeddings.create( | |
input=list_of_text, model=self.embeddings_model_name | |
) | |
return [embeddings.embedding for embeddings in embedding_response.data] | |
async def async_get_embedding(self, text: str) -> List[float]: | |
embedding = await self.async_client.embeddings.create( | |
input=text, model=self.embeddings_model_name | |
) | |
return embedding.data[0].embedding | |
def get_embeddings(self, list_of_text: List[str]) -> List[List[float]]: | |
embedding_response = self.client.embeddings.create( | |
input=list_of_text, model=self.embeddings_model_name | |
) | |
return [embeddings.embedding for embeddings in embedding_response.data] | |
def get_embedding(self, text: str) -> List[float]: | |
embedding = self.client.embeddings.create( | |
input=text, model=self.embeddings_model_name | |
) | |
return embedding.data[0].embedding | |
if __name__ == "__main__": | |
embedding_model = EmbeddingModel() | |
print(asyncio.run(embedding_model.async_get_embedding("Hello, world!"))) | |
print( | |
asyncio.run( | |
embedding_model.async_get_embeddings(["Hello, world!", "Goodbye, world!"]) | |
) | |
) | |