Update app.py

app.py

@@ -108,9 +108,9 @@ def upload_document(file):
     return "Document uploaded and indexed successfully."
 
 # ===============================
-# GENERATION PIPELINE (FLAN-T5)
+# GENERATION PIPELINE 
 # ===============================
-qa_pipeline = pipeline("text2text-generation", model="google/flan-t5-base")
+query_vector = get_embeddings(query, is_query=True).astype("float32")
 
 def generate_answer_from_file(query, top_k=10):
     if not document_texts: