Update app.py

app.py

@@ -1,6 +1,6 @@
 #loading tfidf dataset 
 import pandas as pd 
-newsdf_sample = pd.read_excel("/content/drive/MyDrive/Colab Notebooks/quantiphi/200_sample_each_20newsgroup_4k_tfidf.xlsx",engine="openpyxl")
+newsdf_sample = pd.read_excel("200_sample_each_20newsgroup_4k_tfidf.xlsx",engine="openpyxl")
 
 #preprocessing for better tokenization (needed for tfidf)
 import nltk
@@ -61,8 +61,8 @@ def process_row(row):
     return row
 
 import pickle
-kmeans_tfidf = pickle.load( open( "/content/drive/MyDrive/Colab Notebooks/quantiphi/kmeans_tfidf_20.p", "rb" ) )
-vectorizer = pickle.load(open("/content/drive/MyDrive/Colab Notebooks/quantiphi/tfidf_vectorizer.p","rb"))
+kmeans_tfidf = pickle.load( open( "kmeans_tfidf_20.p", "rb" ) )
+vectorizer = pickle.load(open("tfidf_vectorizer.p","rb"))
 
 import matplotlib.pyplot as plt
 from wordcloud import WordCloud