Update app.py

app.py

@@ -65,7 +65,7 @@ def clean_text(text):
 
 def getSentenceTrain():
     # open sentences_train file
-    sentences_train_f = open('../Deep learning/pickles/sentences_train.pickle', "rb")
+    sentences_train_f = open('Deep learning/pickles/sentences_train.pickle', "rb")
     sentences_train = pickle.load(sentences_train_f)
     sentences_train_f.close()
     return sentences_train
@@ -75,20 +75,20 @@ def getSentenceTrain():
 # randFor_train = pickle.load(randFor_71_f)
 # randFor_71_f.close()
 
-SGD_74_f = open('../Shallow machine learning/pickles/SGD_74.pickle', "rb")
+SGD_74_f = open('Shallow machine learning/pickles/SGD_74.pickle', "rb")
 SGD_train = pickle.load(SGD_74_f)
 SGD_74_f.close()
 
-# XGB_74_f = open('../Shallow machine learning/pickles/XGB_74.pickle', "rb")
+# XGB_74_f = open('Shallow machine learning/pickles/XGB_74.pickle', "rb")
 # XGB_train = pickle.load(XGB_74_f)
 # XGB_74_f.close()
 
-logreg_79_f = open('../Shallow machine learning/pickles/logreg_79.pickle', "rb")
+logreg_79_f = open('Shallow machine learning/pickles/logreg_79.pickle', "rb")
 logreg_train = pickle.load(logreg_79_f)
 logreg_79_f.close()
 
 # get saved CNN model
-model = keras.models.load_model("../Deep learning/CNN_82")
+model = keras.models.load_model("Deep learning/CNN_82")
 
 def vote(test_point, _test):
     print("Voting on video effectivess...\n")