Update app.py

app.py

@@ -1,14 +1,16 @@
 import torch
-
+import gradio as gr
 from fastai.text.all import *
-from blurr.text.data.all import *
-from blurr.text.modeling.all import *
-from transformers import BartForConditionalGeneration
+from transformers import BartTokenizer
+from datasets import load_metric
 
 # Load the pre-trained model and tokenizer (adjust for Bart if needed)
 pretrained_model_name = "facebook/bart-large-cnn"  # Or "facebook/bart-base"
 hf_tokenizer = BartTokenizer.from_pretrained(pretrained_model_name)
 
+# Load the SQuAD metric
+squad_metric = load_metric("squad")
+
 def summarize(article):
     # Define your data transformation pipeline here, if applicable
     # ...