Update app.py

app.py

@@ -18,8 +18,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 embedding_model = BGEM3FlagModel('BAAI/bge-m3',  
                        use_fp16=True) # Setting use_fp16 to True speeds up computation with a slight performance degradation
 
-embeddings = np.load("embeddings_tchap.npy")
-embeddings_data = pd.read_json("embeddings_tchap.json")
+embeddings = np.load("embeddings_albert_tchap.npy")
+embeddings_data = pd.read_json("embeddings_albert_tchap.json")
 embeddings_text = embeddings_data["text_with_context"].tolist()
 
 # Define the device