25 lines
866 B
Python
25 lines
866 B
Python
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import os
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os.environ["OPENAI_API_KEY"]= "sk-PRJ811XeKzEy20Ug3dA98a34Af8b40B5816dE15503D33599"
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os.environ["OPENAI_BASE_URL"]= "http://154.9.28.247:3000/v1/"
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from openai import OpenAI
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client = OpenAI()
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from sklearn.metrics.pairwise import cosine_similarity
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def embedding(s:str):
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if len(s)==0:
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return
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else:
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return client.embeddings.create(
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input=s, model="text-embedding-3-large" # nomic-embed-text text-embedding-3-small
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).data[0].embedding
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a=embedding("I tend to draw fine distinctions between similar feelings (e.g., depressed and blue; annoyed and irritated).")
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# 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）。")
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# c=embedding("I like to define two similar emotions (e.g., frustration and sadness, annoyance and irritation).")
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print(a,"\n",len(a))
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# s = cosine_similarity([a, b, c])
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# print(s)
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