Update app.py

app.py

@@ -17,6 +17,7 @@ model = SentenceTransformer('multi-qa-mpnet-base-dot-v1')
 df['full_text'] = df.iloc[:, 0] + " " + df.iloc[:, 1] + " " + df['Instructor Name'] + " " + df['Rating'].astype(str) + " " + df['Category']
 
 # Convert full course texts into embeddings
+# Precompute and encode course texts into embeddings (this line)
 course_embeddings = model.encode(df['full_text'].tolist(), convert_to_tensor=True)
 
 # Load a model for text generation (e.g., BART)