Python Embeddings

from openai import OpenAI client = OpenAI( base_url="https://api.digislash.com/v1", api_key=key ) response = client.embeddings.create( input="Your text string goes here", model="text-embedding-3-small" ) print(response.data[0].embedding)

{ "object": "list", "data": [ { "object": "embedding", "index": 0, "embedding": [ -0.006929283495992422, -0.005336422007530928 ] } ], "model": "text-embedding-3-small", "usage": { "prompt_tokens": 5, "total_tokens": 5 } }

from openai import OpenAI client = OpenAI( base_url="https://api.digislash.com/v1", api_key=key ) def get_embedding(text, model="text-embedding-3-small"): text = text.replace("\n", " ") return client.embeddings.create(input = [text], model=model).data[0].embedding # Process a dataframe df['ada_embedding'] = df.combined.apply(lambda x: get_embedding(x, model='text-embedding-3-small')) df.to_csv('output/embedded_1k_reviews.csv', index=False) # Load saved embeddings import pandas as pd import numpy as np df = pd.read_csv('output/embedded_1k_reviews.csv') df['ada_embedding'] = df.ada_embedding.apply(eval).apply(np.array)