Christopher Glaze
commited on
Commit
·
fbe1af4
1
Parent(s):
9067c0f
Update data contract
Browse files- handler.py +13 -4
- tests.py +20 -2
handler.py
CHANGED
@@ -1,5 +1,5 @@
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from typing import Dict, Union, Optional
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from pathlib import Path
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import json
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import joblib
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@@ -114,12 +114,19 @@ class EndpointHandler():
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return self.response_pipeline.predict_proba(df1)[:,1]
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def __call__(self,
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if is_dict:
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df = pd.DataFrame([
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if 'dataset' not in df.columns:
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df['dataset'] = ''
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@@ -135,5 +142,7 @@ class EndpointHandler():
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if is_dict:
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return predictions[0]
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else:
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return pd.DataFrame(predictions, index=df.index)
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+
from typing import Dict, List, Union, Optional
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from pathlib import Path
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import json
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import joblib
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return self.response_pipeline.predict_proba(df1)[:,1]
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def __call__(self, data: Dict[str, Union[Dict, List, pd.DataFrame]]):
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inputs = data['inputs']
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is_dict = isinstance(inputs, dict)
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is_list = isinstance(inputs, list)
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if is_dict:
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df = pd.DataFrame([inputs])
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elif is_list:
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df = pd.DataFrame(inputs)
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else:
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df = inputs
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if 'dataset' not in df.columns:
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df['dataset'] = ''
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if is_dict:
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return predictions[0]
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elif is_list:
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return predictions
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else:
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return pd.DataFrame(predictions, index=df.index)
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tests.py
CHANGED
@@ -1,11 +1,29 @@
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from handler import EndpointHandler
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# init handler
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response_model_handler = EndpointHandler()
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# prepare sample payload
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payload = {"instruction": "What are some ways to stay energized throughout the day?",
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"response": "Drink lots of coffee!"}
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# test the handler
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pred=response_model_handler(payload)
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from handler import EndpointHandler
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import pandas as pd
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# init handler
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response_model_handler = EndpointHandler()
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# prepare sample payload
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payload = {'inputs': {"instruction": "What are some ways to stay energized throughout the day?",
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"response": "Drink lots of coffee!"}}
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# test the handler
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pred=response_model_handler(payload)
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print(pred)
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payload = {'inputs': [{"instruction": "What are some ways to stay energized throughout the day?",
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"response": "Drink lots of coffee!"}]*2}
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# test the handler
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pred=response_model_handler(payload)
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print(pred)
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payload = {'inputs': pd.DataFrame([{"instruction": "What are some ways to stay energized throughout the day?",
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"response": "Drink lots of coffee!"}]*2)}
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# test the handler
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pred=response_model_handler(payload)
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