round sentiment score (#119)

* round sentiment score

* Update test_text.py

increased assert range

ammico/test/test_text.py

@@ -94,7 +94,7 @@ def test_text_sentiment_transformers():
     mydict["text_english"] = "I am happy that the CI is working again."
     test_obj.text_sentiment_transformers()
     assert mydict["sentiment"] == "POSITIVE"
-    assert mydict["sentiment_score"] == pytest.approx(0.99, 0.01)
+    assert mydict["sentiment_score"] == pytest.approx(0.99, 0.02)
 
 
 @pytest.mark.win_skip

ammico/text.py

@@ -133,7 +133,7 @@ class TextDetector(AnalysisMethod):
         )
         result = pipe(self.subdict["text_english"])
         self.subdict["sentiment"] = result[0]["label"]
-        self.subdict["sentiment_score"] = result[0]["score"]
+        self.subdict["sentiment_score"] = round(result[0]["score"], 2)
 
     def text_ner(self):
         """Perform named entity recognition on the text using the Transformers pipeline."""