Update description

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from optimum.intel.openvino import OVModelForSequenceClassification
-from transformers import (AutoModelForSequenceClassification, AutoTokenizer,
-                          pipeline)
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
 
 model_id = "juliensimon/xlm-v-base-language-id"
 ov_model = OVModelForSequenceClassification.from_pretrained(
@@ -24,7 +23,7 @@ input_text = gr.Text(label="Enter text")
 # Gradio outputs
 labels = gr.Label(label="Languages", num_top_classes=5)
 
-description = "This Space lets you perform language identification on the 102 languages present in the google/fleurs dataset. The underlying model scores 99.3% accuracy on the validation set."
+description = "This Space lets you perform language identification on the 102 languages present in the google/fleurs dataset. The underlying model scores 99.3% accuracy on the validation set. Inference is optimized with Optimum Intel and OpenVINO."
 
 iface = gr.Interface(
     description=description,