Update app.py

app.py

@@ -12,7 +12,7 @@ DeepSparse is sparsity-aware inference runtime offering GPU-class performance on
 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. 
 ### Inference
 Here is sample code for a token classification pipeline: 
-```lang=python
+```python
 from deepsparse import Pipeline
 pipeline = Pipeline.create(task="ner", model_path="zoo:nlp/token_classification/distilbert-none/pytorch/huggingface/conll2003/pruned80_quant-none-vnni")
 inference = pipeline(text)