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