Update app.py

app.py

@@ -10,8 +10,7 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
 # Load the CSV file with embeddings
 df = pd.read_csv('RBDx10kstats.csv')
-df['Abstract'] = df['Abstract']
-#.apply(json.loads)  # Convert JSON string back to list
+df['embedding'] = df['embedding'].apply(json.loads)  # Convert JSON string back to list
 
 # Convert embeddings to tensor for efficient retrieval
 embeddings = torch.tensor(df['embedding'].tolist(), device=device)