diff --git a/__pycache__/flipper.cpython-36.pyc b/__pycache__/flipper.cpython-36.pyc
index 097672b..83b29e2 100644
Binary files a/__pycache__/flipper.cpython-36.pyc and b/__pycache__/flipper.cpython-36.pyc differ
diff --git a/flipflopDetector.py b/flipflopDetector.py
deleted file mode 100644
index 0db4304..0000000
--- a/flipflopDetector.py
+++ /dev/null
@@ -1,90 +0,0 @@
-from urllib.request import urlopen
-import re
-from gensim.models import word2vec
-from gensim.models.keyedvectors import KeyedVectors
-pathToBinVectors='/Users/Anmol/Desktop/CS196/factdetector_cs196/Trying Out Word2Vec/GoogleNews-vectors-negative300.bin'
-print ("Loading the data file... Please wait...")
-model1 =  KeyedVectors.load_word2vec_format(pathToBinVectors, binary=True)
-print ("Successfully loaded 3.6 G bin file!")
-import numpy as np
-import math
-import scipy
-from random import sample
-import sys
-from nltk.corpus import stopwords
-from nltk.sentiment.vader import SentimentIntensityAnalyzer
-SIMILARITY = .7
-
-def sentence_sentiment(sentence):
-    ss = SentimentIntensityAnalyzer().polarity_scores(sentence)
-    return ss['compound']
-
-
-def compare_similar_sentences(subsequence ):
-    retArray=[]
-    retArray.append([])
-    retArray.append([])
-
-    prev = float(sentence_sentiment(subsequence[0]) )
-    for i in range (1,len(subsequence)):
-        temp = float(sentence_sentiment(subsequence[i]))
-
-        if temp*prev <= 0:
-            #print("Flip Flopped")
-            retArray[0].append(subsequence[i])
-        else:
-            #print("Didn't Flop Flop")
-            retArray[1].append(subsequence[i])
-
-    return retArray
-
-
-def avg_feature_vector(words, model, num_features):
-    featureVec = np.zeros((num_features,), dtype="float32")
-    index2word_set=set(model.index2word)
-    nwords=0
-    for word in words:
-        if word in index2word_set:
-            nwords = nwords+1
-            featureVec = np.add(featureVec, model[word])
-    if(nwords>0):
-        featureVec = np.divide(featureVec, nwords)
-    return featureVec
-
-
-def mostSimilarTo(sentence, sentenceArray):
-    similarSentences = []
-    sentenceDict = {}
-    notDumbWords=0
-    sentence_1_avg_vector = avg_feature_vector(sentence.split(), model1, num_features=300)
-
-    for potentialSentence in sentenceArray:
-        if potentialSentence != sentence:
-            sentence_2_avg_vector = avg_feature_vector(potentialSentence.split(), model1, num_features=300)
-            sen1_sen2_similarity =  1 - scipy.spatial.distance.cosine(sentence_1_avg_vector,sentence_2_avg_vector)
-            if sen1_sen2_similarity>SIMILARITY:
-                similarSentences.append(potentialSentence)
-
-    return similarSentences
-
-
-def flipFlopped(sentenceArray):
-    retArr=[]
-    for sentence in sentenceArray:
-        retSentenceArray = mostSimilarTo(sentence, sentenceArray)
-        if(  len(retSentenceArray) != 0):
-            retSentenceArray.insert(0, sentence)
-            retStatus = compare_similar_sentences(retSentenceArray)
-            retStatus.insert(0, sentence)
-            retArr.append(retStatus)
-
-    return retArr
-
-
-
-print ( flipFlopped(['The sky is blue today', 'the sky is green today']) )
-print(flipFlopped(['I hate war war is bad war is not good',
-                                'non no no yes hello hi there', 'These are not different and cool', 'these  are different and cool',
-                                'I love war war is okay war is fun',
-                                'War sounds good is good great war']))
-print (flipFlopped( ['Her late, great husband, Antonin Scalia, will forever be a symbol of American justice','As promised, I directed the Department of Defense to develop a plan to demolish and destroy ISIS -- a network of lawless savages that have slaughtered Muslims and Christians, and men, and women, and children of all faiths and all beliefs','Finally, I have kept my promise to appoint a justice to the United States Supreme Court, from my list of 20 judges, who will defend our Constitution']) )
diff --git a/upload/testing.txt b/upload/testing.txt
index 5b8d831..fd8e681 100644
--- a/upload/testing.txt
+++ b/upload/testing.txt
@@ -1 +1 @@
-Apples are bad. I hate apples. Apples are my least favorite.
\ No newline at end of file
+the sky is blue
\ No newline at end of file
diff --git a/upload/testing2.txt b/upload/testing2.txt
index 2540288..49ec30e 100644
--- a/upload/testing2.txt
+++ b/upload/testing2.txt
@@ -1 +1 @@
-Apples are good. I love apples. Apples are my favorite.
\ No newline at end of file
+the sky is green
\ No newline at end of file