API

app.py

@@ -47,7 +47,11 @@ nlp = spacy.load("en_core_web_lg")
 skill_extractor = SkillExtractor(nlp, SKILL_DB, PhraseMatcher)
 model = SentenceTransformer('all-MiniLM-L6-v2')
 
-purchase_history = pd.read_excel('datasetsample.xlsx', sheet_name='Transaction History', 
+# Get the current directory path
+current_dir = os.path.dirname(os.path.abspath(__file__))
+excel_path = os.path.join(current_dir, 'datasetsample.xlsx')
+
+purchase_history = pd.read_excel(excel_path, sheet_name='Transaction History', 
                                parse_dates=['Purchase_Date'])
 purchase_history['Customer_Id'] = purchase_history['Customer_Id'].astype(str)
 product_categories = purchase_history[['Product_Id', 'Category']].drop_duplicates().set_index('Product_Id')['Category'].to_dict()