Add TXT output func

@@ -23,20 +23,27 @@ def GetResult(annotations):
         else:
         else:
             neutral += 1
             neutral += 1
         tot += 1
         tot += 1
-    return tot, positive, neutral, negative
 
 
-def analyze(movie_review_filename):
+    with open(BASE_DIR + 'sentiment.txt', 'w', encoding='utf-8-sig') as txt_file:
+        txt_file.write(str(tot))
+        txt_file.write(str(int(positive / tot * 100)))
+        txt_file.write(str(int(neutral / tot * 100)))
+        txt_file.write(str(int(negative / tot * 100)))
+    print("txt file saved")
+    # return tot, positive, neutral, negative
+
+def analyze(filename):
     client = language_v1.LanguageServiceClient()
     client = language_v1.LanguageServiceClient()
-    try:
-        with open(movie_review_filename, "r", encoding='utf-8-sig') as review_file:
+    # try:
+    with open(filename, "r", encoding='utf-8-sig') as file:
         # Instantiates a plain text document.
         # Instantiates a plain text document.
-            content = review_file.read()
+        content = file.read()
     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})
 
 
-        return GetResult(annotations)
-    except:
-        return 0, 0, 0, 0
+    GetResult(annotations)
+    # except:
+    #     return 0, 0, 0, 0
 
 
 def StartSentimentAnalysis():
 def StartSentimentAnalysis():
-    return analyze("data.txt")
\ No newline at end of file
+    analyze("data.txt")
\ No newline at end of file