Update app.py

app.py

@@ -3,9 +3,9 @@ import time
 import gradio as gr
 
 markdownn = '''
-# Token Classification Pipeline with DeepSparse
+# Named Entity Recognition Pipeline with DeepSparse
 DeepSparse is sparsity-aware inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application. DeepSparse provides sparsified pipelines for computer vision and NLP. 
-The pipelines are similar to Hugging Face pipelines but are faster because they have been pruned and quantized. SparseML Token Classification Pipelines integrate with Hugging Face’s Transformers library to enable the sparsification of a large set of transformers models. Here is sample code for a token classification pipeline: 
+The pipelines are similar to Hugging Face pipelines but are faster because they have been pruned and quantized. SparseML Named Entity Recognition Pipelines integrate with Hugging Face’s Transformers library to enable the sparsification of a large set of transformers models. Here is sample code for a token classification pipeline: 
 ```
 from deepsparse import Pipeline
 pipeline = Pipeline.create(task="ner", model_path="zoo:nlp/token_classification/distilbert-none/pytorch/huggingface/conll2003/pruned80_quant-none-vnni")