minor refaactoring of param name, version bump

README.md

@@ -6,7 +6,7 @@ Question and Answer Wrapper
 
 ## To run example
 `conda activate PyQAWrapper`
-
-`python -m src.qa0`
-`python -m src.qa1`
+`cd src`
+`python -m qawrapper.main_qa0`
+`python -m qawrapper.main_qa1`
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "qawrapper"
-version = "0.0.1"
+version = "0.0.2"
 description = "Python wrapper for QuestionAnswer Interface"
 authors = [
     { name = "Bart Gajderowicz", email = "[email protected]" },

src/qawrapper/qa/qa.py

@@ -123,13 +123,13 @@ def top_answers(self):
         self.qa_info = {out_entity: self.QAs[out_entity][0] for out_entity in self.QAs}
         return self.qa_info
 
-    def run_qa(self, ner=False):
+    def run_qa(self, adjust_score=False):
         """Do all from setting the question to selecting the top answers
 
         :return: top answers
         """
         self.set_questions()
-        self.set_answers(ner)
+        self.set_answers(adjust_score)
         self.qa_info = self.top_answers()
         return self.qa_info
 

src/qawrapper/qa0.py

@@ -18,7 +18,7 @@ class QA0(QA):
     set_questions()
         prepare the results formatting and set questions
 
-    set_answers(ner)
+    set_answers(adjust_score)
         run the qa model to get answers
 
     get_agg_score(out_entity)
@@ -80,7 +80,7 @@ def set_questions(self):
             return e
         self.QAs = new_QAs
 
-    def set_answers(self, ner):
+    def set_answers(self, adjust_score):
         """
         Run the model and add the outputted information to QAs
         :param ner: boolean that tells whether this result will be ner or phrase data level hypothesis
@@ -96,7 +96,7 @@ def set_answers(self, ner):
                 qa["answer"] = res["answer"]
                 qa["start"] = res["start"]
                 qa["end"] = res["end"]
-                if ner:
+                if adjust_score:
                     qa["score"] = res["score"] * 0.3 + self.get_agg_score(out_entity) * 0.7
                 else:
                     qa["score"] = res["score"]