Update app.py

app.py

@@ -27,8 +27,8 @@ max_target_length = 200
 
 # Load your dataset
 dataset = datasets.load_dataset("legacy107/newsqa", split="test")
-dataset = dataset.shuffle()
-dataset = dataset.select(range(10))
+# dataset = dataset.shuffle()
+dataset = dataset.select([3, 9, 14, 24, 405, 51, 426, 471, 73, 34, 94, 0])
 
 # Context chunking
 def chunk_splitter(context, chunk_size=100, overlap=0.10):
@@ -142,7 +142,7 @@ iface = gr.Interface(
         Textbox(label="Pretrained Model's Answer")
     ],
     examples=list_examples(),
-    examples_per_page=1
+    examples_per_page=4
 )
 
 # Launch the Gradio interface