Update app.py

app.py

@@ -1,10 +1,10 @@
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from peft import PeftModel, PeftConfig
 
-# Load the model and tokenizer from Hugging Face Model Hub
-tokenizer = AutoTokenizer.from_pretrained("zeyadusf/FlanT5Summarization-samsum")
-model = AutoModelForSeq2SeqLM.from_pretrained("zeyadusf/FlanT5Summarization-samsum")
-
+config = PeftConfig.from_pretrained("zeyadusf/FlanT5Summarization-samsum")
+base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large")
+model = PeftModel.from_pretrained(base_model, "zeyadusf/FlanT5Summarization-samsum")
 def summarize(text):
     inputs = tokenizer(text, return_tensors="pt", truncation=True)
     summary_ids = model.generate(inputs.input_ids, max_length=512, min_length=64, length_penalty=2.0, num_beams=4, early_stopping=True)