Update app.py

app.py

@@ -230,13 +230,13 @@ def load_embedding_model(model_name="mixedbread-ai/mxbai-embed-large-v1"):
     return tokenizer, model
 
 @st.cache_data
-def generate_embeddings(_tokenizer, model, text_list):
+def generate_embeddings(_tokenizer, _model, text_list):
     """Generates embeddings for a list of text entries."""
     encoded_input = _tokenizer(
         text_list, padding=True, truncation=True, return_tensors="pt"
     )
     with torch.no_grad():
-        model_output = model(**encoded_input)
+        model_output = _model(**encoded_input)
         embeddings = model_output.last_hidden_state.mean(dim=1)
     return embeddings.cpu().numpy()