update app.py and requirements

app.py

@@ -1,4 +1,4 @@
-from transformers import pipeline
+ifrom transformers import pipeline
 import gradio as gr
 
 # Load the NER pipeline
@@ -18,7 +18,7 @@ def fn_ner(prompt):
 examples = [
     "Subject: Defective Date: 08-13-2023 Product: XXX speaker Location: 456 Sound Avenue, Audiotown",
     "Subject: Dirty Date: 08-10-2023 Product: UVW Television Location: 567 Willow Lane, Mediatown",
-    "Subject: Missing Parts Date: 08-10-2023 Product: XXX Furniture Set Location: 1800 Antipolo Rizal Furnitown",
+    "Subject: Missing Parts Date: 08-10-2023 Product: XXX Furniture Set Location: Antipolo Rizal",
 ]
 
 # Create Gradio interface
@@ -28,7 +28,7 @@ iface = gr.Interface(
     outputs='text',
     examples=[[ex] for ex in examples],
     title='Named Entity Recognition',
-    description='This demo performs named entity recognition (NER) on the input text.',
+    description='This demo performs named entity recognition (NER) on our custom made dataset. This dataset consist of very small training and testing samples resulting a very limited data our model to learn. ',
     article='All done by Kaiku'
 )