Update app.py

app.py

@@ -8,7 +8,7 @@ BASE_DIR = os.path.dirname(__file__)
 MODEL_DIR = os.path.join(BASE_DIR, "minilm_sbert_encoder")
 model = SentenceTransformer(MODEL_DIR)
 
-# Your focus area labels
+# Focus area labels
 FOCUS_AREAS = [
     "High Blood Pressure",
     "Diabetes",
@@ -41,9 +41,9 @@ def classify(text):
     return f"{best_label} (confidence: {best_score:.2f})"
 
 
-# ---------- UI Layout (same as your screenshot) ----------
+# ---------- UI Layout ----------
 with gr.Blocks(title="MiniLM-SBERT Encoder") as demo:
-    gr.Markdown("## 🧠 MiniLM-SBERT Encoder")
+    gr.Markdown("## MiniLM-SBERT Encoder")
 
     with gr.Row():
         inp = gr.Textbox(