Update tasks/text.py

tasks/text.py

@@ -72,7 +72,7 @@ async def evaluate_text(request: TextEvaluationRequest):
     model = SentenceTransformer("dunzhang/stella_en_400M_v5",trust_remote_code=True).cuda()
     
     trusted_types = ['sklearn.feature_selection._univariate_selection.f_classif']
-    disp = sio.load('logistic_regression_model.skops',trusted=trusted_types)
+    disp = sio.load('./tasks/logistic_regression_model.skops',trusted=trusted_types)
     
     ## Data prep
     embeddings = model.encode(list(test_dataset['quote']), prompt_name=query_prompt_name)