Update app.py

app.py

@@ -14,10 +14,19 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
 
 
-lpi_df = pd.read_csv('Learning_Pathway_Index_Dataset_Cleaned.csv')
+lpi_df = pd.read_csv('Learning Pathway Index.csv')
+
+lpi_df.rename(columns={"Course / Learning material": "Course_Learning_Material",
+                       "Course Level": "Course_Level",
+                       "Type (Free or Paid)":"Type",
+                       "Module / Sub-module \nDifficulty level": "Difficulty_Level",
+                       "Keywords / Tags / Skills / Interests / Categories":"Keywords"
+                      }, inplace=True)
 
 lpi_df['combined_features'] = lpi_df['Course_Learning_Material']+' '+lpi_df['Source']+' '+lpi_df['Course_Level']+' '+lpi_df['Type']+' '+lpi_df['Module']+' '+lpi_df['Difficulty_Level']+' '+lpi_df['Keywords']
 
+
+
 combined_features = lpi_df['combined_features']
 
 porter_stemmer = PorterStemmer()