Fix tokenizer error

app.py

@@ -66,12 +66,15 @@ def load_and_process_text(file_path):
         return []
 
 @st.cache_data
-def create_embeddings(chunks, _embedding_model):
+def create_embeddings(chunks, embedding_model):
+    tokenizer = AutoTokenizer.from_pretrained(embedding_model)
+    model = AutoModel.from_pretrained(embedding_model)
+    
     embeddings = []
     for chunk in chunks:
         inputs = tokenizer(chunk, return_tensors="pt", padding=True, truncation=True, max_length=512)
         with torch.no_grad():
-            outputs = _embedding_model(**inputs)
+            outputs = model(**inputs)
         embeddings.append(outputs.last_hidden_state.mean(dim=1).squeeze().numpy())
     return np.array(embeddings)