update example

app.py

@@ -70,7 +70,7 @@ def predict(text: str, text_type: str, threshold: float, topk: int):
 with gr.Blocks(fill_height=True) as demo:
     gr.Markdown(
         """
-        # 🔬 Lit2Vec Subfield Classifier
+        # Lit2Vec Subfield Classifier
         Enter a **chemistry abstract or summary**. The app encodes it with `e5-large-v2` and predicts one or more **subfields** using the MLP model.
 
         **Model:** `Bocklitz-Lab/lit2vec-subfield-classifier-model`