streamlit

src/streamlit_app.py

@@ -25,8 +25,6 @@ print("Files in current directory:")
 for f in os.listdir('.'):
     print(" -", f)
 
-# --- Data Loading and Preparation ---
-CSV_FILE = 'papers_with_abstracts_parallel.csv'
 
 # --- Caching Functions ---
 
@@ -80,6 +78,7 @@ def load_data_and_embeddings():
     
     # Load the raw data from CSV
     try:
+        st.info("current path is: " + str(os.getcwd()))
         data_df = pd.read_csv(CSV_FILE)
         corpus_embeddings, data_df = create_and_save_embeddings(model, data_df)
     except FileNotFoundError: