Linear-Matrix-Probability
commited on
Commit
•
8f6a7e9
1
Parent(s):
2e98537
Update handler.py
Browse files- handler.py +4 -4
handler.py
CHANGED
@@ -1,4 +1,4 @@
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from typing import Dict
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from transformers import (
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AutoTokenizer,
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AutoModelForSeq2SeqLM,
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@@ -20,11 +20,11 @@ class EndpointHandler:
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self.tokenizer = AutoTokenizer.from_pretrained(path)
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self.model = AutoModelForSeq2SeqLM.from_pretrained(path)
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def __call__(self, data: Dict[str, str]) -> Dict[str, str]:
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inputs = data.pop('inputs', None)
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if inputs is None or inputs == '':
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return {'generated_text': 'No input provided'}
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# preprocess
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input_ids = self.tokenizer(inputs, return_tensors="pt").input_ids
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@@ -33,4 +33,4 @@ class EndpointHandler:
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# postprocess
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response = self.tokenizer.decode(output_ids[0], skip_special_tokens=True)
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return {'generated_text': response}
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from typing import Dict, List
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from transformers import (
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AutoTokenizer,
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AutoModelForSeq2SeqLM,
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self.tokenizer = AutoTokenizer.from_pretrained(path)
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self.model = AutoModelForSeq2SeqLM.from_pretrained(path)
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def __call__(self, data: Dict[str, str]) -> List[Dict[str, str]]:
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inputs = data.pop('inputs', None)
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if inputs is None or inputs == '':
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return [{'generated_text': 'No input provided'}]
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# preprocess
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input_ids = self.tokenizer(inputs, return_tensors="pt").input_ids
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# postprocess
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response = self.tokenizer.decode(output_ids[0], skip_special_tokens=True)
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return [{'generated_text': response}]
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