Update app.py

app.py

@@ -6,17 +6,17 @@ import joblib
 model = joblib.load("biochar_lightgbm_model.pkl")
 le = joblib.load("biochar_label_encoder.pkl")
 
-# รายชื่อฟีเจอร์
+# Danh sách các tính năng
 feature_names = ['SurfaceArea', 'Fixed Carbon', 'pH', 'Pore Volume', 'Pore Size', 'Energy Content']
 
-# ฟังก์ชันทำนาย
+# Chức năng dự đoán
 def recommend_with_probs(surface_area, fixed_carbon, pH, pore_volume, pore_size, energy_content):
     input_data = pd.DataFrame([[surface_area, fixed_carbon, pH, pore_volume, pore_size, energy_content]],
                               columns=feature_names)
     pred_class = model.predict(input_data)[0]
     pred_label = le.inverse_transform([pred_class])[0]
 
-    # ทำนายความน่าจะเป็น
+    # Dự đoán xác suất
     probs = model.predict_proba(input_data)[0]
     prob_labels = le.inverse_transform(range(len(probs)))
     prob_df = pd.DataFrame({
@@ -35,8 +35,8 @@ h1, h2, h3, h4 {text-align: center;}
 """
 
 with gr.Blocks(css=css, title="Biochar Application Recommender") as demo:
-    gr.Markdown("# 🌱 Biochar Application Recommender")
-    gr.Markdown("**ระบบแนะนำการประยุกต์ใช้งานไบโอชาร์โดยอิงจากคุณสมบัติทางเคมีและกายภาพ**")
+    gr.Markdown("# 🌱 Chuyên gia AI tư vấn ứng dụng Than sinh học")
+    gr.Markdown("** Hệ thống khuyến nghị ứng dụng than sinh học dựa trên tính chất hóa học và vật lý **")
 
     with gr.Row():
         with gr.Column():