Clearance

 import argparse
 import argparse
+import os
 
 
 from google.cloud import language_v1
 from google.cloud import language_v1
 
 
-def print_result(annotations):
+BASE_DIR = os.path.dirname(os.path.realpath(__file__))
+os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = BASE_DIR + "/artful-fortress-316201-f135fd520d56.json"
+
+def GetResult(annotations):
     score = annotations.document_sentiment.score
     score = annotations.document_sentiment.score
     magnitude = annotations.document_sentiment.magnitude
     magnitude = annotations.document_sentiment.magnitude
 
 
@@ -18,14 +22,8 @@ def print_result(annotations):
             negative += 1
             negative += 1
         else:
         else:
             neutral += 1
             neutral += 1
-        # print(
-            # "Sentence {} has a sentiment score of {}".format(index, sentence_sentiment)
-        # )
         tot += 1
         tot += 1
-    print(
-        "Overall Sentiment: score of {} with magnitude of {}".format(score, magnitude)
-    )
-    return tot, positive, negative
+    return tot, positive, neutral, negative
 
 
 def analyze(movie_review_filename):
 def analyze(movie_review_filename):
     client = language_v1.LanguageServiceClient()
     client = language_v1.LanguageServiceClient()
@@ -36,7 +34,7 @@ def analyze(movie_review_filename):
     document = language_v1.Document(content=content, type_=language_v1.Document.Type.PLAIN_TEXT)
     document = language_v1.Document(content=content, type_=language_v1.Document.Type.PLAIN_TEXT)
     annotations = client.analyze_sentiment(request={'document': document})
     annotations = client.analyze_sentiment(request={'document': document})
 
 
-    print_result(annotations)
+    return GetResult(annotations)
 
 
-if __name__ == "__main__":
-    analyze("data.txt")
\ No newline at end of file
+def StartSentimentAnalysis():
+    return analyze("data.txt")
\ No newline at end of file