Delete handler.py

handler.py

@@ -1,23 +0,0 @@
-import torch
-import transformers
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
-
- 
- 
-class EndpointHandler:
-    def __init__(self, path=""):
-        tokenizer = AutoTokenizer.from_pretrained(path)
-        model = AutoModelForSequenceClassification.from_pretrained(path)
-        model.eval()
-        self.pipeline = transformers.pipeline(
-           "text-classification", model=model, tokenizer=tokenizer
-        )
- 
-    def __call__(self, inputs):
-        result = self.pipeline(inputs, truncation=True, padding=False, max_length=512)
-        for item in result:
-            if item['label'] == 'LABEL_0':
-                item['label'] = 'human-written'
-            else:
-                item['label'] = 'AI-generated'
-        return result