Spaces:
Running
Running
| 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!"]) | |
| ) | |
| ) | |