Update description

app.py

@@ -9,7 +9,6 @@ p = pipeline("text-classification", model=model_id)
 def process(text, top_k=5):
     pred = p(text, top_k=top_k)
     scores = {x["label"]: x["score"] for x in pred}
-    print(scores)
     return scores
 
 
@@ -19,7 +18,7 @@ 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."
+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."
 
 iface = gr.Interface(
     description=description,