Update handler.py
Browse files- handler.py +12 -5
handler.py
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@@ -1,9 +1,9 @@
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from typing import Dict, List, Any
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import pickle
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import os
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import __main__
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class ContentBasedRecommender:
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def __init__(self, train_data):
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@@ -16,8 +16,8 @@ class ContentBasedRecommender:
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return np.random.choice(recommended_books, size=min(k, len(recommended_books)), replace=False).tolist()
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__main__.ContentBasedRecommender = ContentBasedRecommender
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class EndpointHandler:
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def __init__(self, path=""):
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model_path = os.path.join(path, "model.pkl")
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@@ -25,8 +25,15 @@ class EndpointHandler:
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self.model = pickle.load(f)
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
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if user_id is None:
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return [{"error": "user_id is required"}]
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from typing import Dict, List, Any
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import pickle
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import os
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import __main__
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import numpy as np
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import pandas as pd
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class ContentBasedRecommender:
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def __init__(self, train_data):
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return np.random.choice(recommended_books, size=min(k, len(recommended_books)), replace=False).tolist()
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__main__.ContentBasedRecommender = ContentBasedRecommender
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+
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class EndpointHandler:
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def __init__(self, path=""):
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model_path = os.path.join(path, "model.pkl")
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self.model = pickle.load(f)
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
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# Extract the 'inputs' from the data
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inputs = data.get('inputs', {})
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# If inputs is a string (for single user_id input), convert it to a dict
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if isinstance(inputs, str):
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inputs = {'user_id': inputs}
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user_id = inputs.get('user_id')
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k = inputs.get('k', 10) # Default to 10 if not provided
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if user_id is None:
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return [{"error": "user_id is required"}]
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