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from typing import Dict, List, Any |
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from sentence_transformers import SentenceTransformer |
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import pandas as pd |
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import numpy as np |
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import os |
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class EndpointHandler: |
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def __init__(self, path=""): |
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self.model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2") |
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self.embeddings = np.load(os.path.join(path, "embeddings.npy")) |
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self.spotify = pd.read_csv(os.path.join(path, "spotify.csv")) |
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def __call__(self, data: Dict[str, Any]) -> List[float]: |
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""" |
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data args: |
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inputs (:obj: `str` | `PIL.Image` | `np.array`) |
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kwargs |
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Return: |
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A :obj:`list` | `dict`: will be serialized and returned |
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""" |
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input_embedding = self.model.encode(data["inputs"]) |
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cos_score = self.embeddings @ input_embedding |
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top_10 = cos_score.argsort()[-10:][::-1] |
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return self.spotify.iloc[top_10].to_dict(orient="records") |
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