Update pipeline.py

pipeline.py

@@ -17,8 +17,8 @@ os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
 os.system("python -m spacy download en_core_web_sm")
 nlp = spacy.load("en_core_web_sm")
 tokenizer = RobertaTokenizer.from_pretrained("roberta-base")  
-clause_model = AutoModelForTokenClassification.from_pretrained("{}\\Trained Models\\clause_model_512".format(dir_path), num_labels=3)
-classification_model = RobertaForSequenceClassification.from_pretrained("{}\Trained Models\classfication_model".format(dir_path), num_labels=18)
+clause_model = AutoModelForTokenClassification.from_pretrained("{}/clause_model_512".format(dir_path), num_labels=3)
+classification_model = RobertaForSequenceClassification.from_pretrained("{}/classfication_model".format(dir_path), num_labels=18)
 
 labels2attrs = {
     "##BOUNDED EVENT (SPECIFIC)": ("specific", "dynamic", "episodic"),