fake

model.py

@@ -5,7 +5,7 @@ import os
 # from sentence_transformers import SentenceTransformer
 
 # sentence_embed = SentenceTransformer("paraphrase-multilingual-mpnet-base-v2")
-client = Critique(api_key=os.environ["INSPIREDCO_API_KEY"])
+# client = Critique(api_key=os.environ["INSPIREDCO_API_KEY"])
 
 
 @model
@@ -24,11 +24,13 @@ def bert_score(df, ops):
         d["references"] = [d.pop("label")]
         d["target"] = d.pop(ops.output_column)
 
-    result = client.evaluate(
-        metric="bert_score", config={"model": "bert-base-uncased"}, dataset=eval_dict
-    )
+    return [0] * len(eval_dict)
 
-    return [round(r["value"], 6) for r in result["examples"]]
+    # result = client.evaluate(
+    #     metric="bert_score", config={"model": "bert-base-uncased"}, dataset=eval_dict
+    # )
+
+    # return [round(r["value"], 6) for r in result["examples"]]
 
 
 @metric