tried fixing tensor error

app.py

@@ -34,7 +34,20 @@ sym_spell.load_dictionary(dictionary_path, term_index=0, count_index=1)
 # -----------------------------
 # 3. QA Model (Generative)
 # -----------------------------
-qa_pipeline = pipeline("text2text-generation", model="google/flan-t5-large", device=-1)
+
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+
+model_name = "google/flan-t5-large"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(
+    model_name,
+    device_map=None,            # don’t use meta-tensors
+    low_cpu_mem_usage=False     # force eager weight loading
+)
+
+qa_pipeline = pipeline("text2text-generation", model=model, tokenizer=tokenizer, device=-1)
+# qa_pipeline = pipeline("text2text-generation", model="google/flan-t5-large", device=-1)
 
 # -----------------------------
 # 4. Embed Portfolio Documents