embedding.py

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mxr612 2024-05-14 02:43:50 +08:00
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import os
os.environ["OPENAI_API_KEY"]= "sk-PRJ811XeKzEy20Ug3dA98a34Af8b40B5816dE15503D33599"
os.environ["OPENAI_BASE_URL"]= "http://154.9.28.247:3000/v1/"
from openai import OpenAI
client = OpenAI()
from sklearn.metrics.pairwise import cosine_similarity
def embedding(s:str):
if len(s)==0:
return
else:
return client.embeddings.create(
input=s, model="text-embedding-3-large" # nomic-embed-text text-embedding-3-small
).data[0].embedding
a=embedding("I tend to draw fine distinctions between similar feelings (e.g., depressed and blue; annoyed and irritated).")
# b=embedding("我喜欢界定两种相似的情绪(如沮丧和忧伤,烦恼和被激怒)。")
# c=embedding("I like to define two similar emotions (e.g., frustration and sadness, annoyance and irritation).")
print(a,"\n",len(a))
# s = cosine_similarity([a, b, c])
# print(s)