Update app.py

app.py

@@ -5,7 +5,7 @@ import gradio as gr
 markdownn = '''
 # Text Classification 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 text classification Pipeline, for example, wraps an NLP model with the proper preprocessing and postprocessing pipelines, such as tokenization. Here is a sample code for a question-answering pipeline: 
+The text classification Pipeline, for example, wraps an NLP model with the proper preprocessing and postprocessing pipelines, such as tokenization. Here is sample code for a text classification pipeline: 
 ```
 from deepsparse import Pipeline
 pipeline = Pipeline.create(task=task, model_path="zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/pruned80_quant-none-vnni",model_scheme="mnli",model_config={"hypothesis_template": "This text is related to {}"},)