import openai
import pandas as pd
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
import os
from dotenv import load_dotenv

# Initialize OpenAI client (replace with your API key)
load_dotenv()  # take environment variables from .env.
api_key = os.getenv('OPENAI_API_KEY')

# Function to get OpenAI embeddings for a text input
def get_embedding(text, model="text-embedding-ada-002"):
    text = text.replace("\n", " ")
    response = openai.Embedding.create(input=[text], model=model)  # Correct API call
    return response['data'][0]['embedding']

example_text = "How much do I have to pay for the current bill?"
example_embedding = get_embedding(example_text)  # Correct function call
print(example_embedding)