Update app.py

app.py

@@ -10,13 +10,22 @@ def score_translation(src_text, mt_text):
     results = model.predict(translations, batch_size=1, gpus=1)
     return results["scores"][0]
 
-examples = [
+good_examples = [
     ["The weather is beautiful today.", "วันนี้อากาศดีมาก"],
     ["I need to go to the hospital.", "ฉันต้องไปโรงพยาบาล"],
     ["This restaurant serves delicious food.", "ร้านอาหารนี้เสิร์ฟอาหารอร่อย"],
     ["Can you help me find the nearest train station?", "คุณช่วยฉันหาสถานีรถไฟที่ใกล้ที่สุดได้ไหม"]
 ]
 
+bad_examples = [
+    ["The weather is beautiful today.", "วันนี้อากาศแย่สุดๆ"], 
+    ["I need to go to the hospital.", "ฉันอยากกินข้าว"],            
+    ["This restaurant serves delicious food.", "ร้านนี้ไม่อร่อยเลย"],  
+    ["Can you help me find the nearest train station?", "คุณพูดภาษาอังกฤษได้ไหม?"], 
+]
+
+examples = good_examples + bad_examples
+
 font_css = """
 @import url("https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;700&display=swap");
 
@@ -35,7 +44,12 @@ with gr.Blocks(theme=gr.themes.Soft(), css=font_css) as demo:
         with gr.Column():
             score_output = gr.Label(label="Quality Scores")
             gr.Markdown("### Higher scores indicate better translation quality across multiple dimensions")
-    gr.Examples(examples=examples, inputs=[src_input, mt_input], outputs=score_output, fn=score_translation)
+    gr.Examples(
+        examples=examples,
+        inputs=[src_input, mt_input],
+        outputs=score_output,
+        fn=score_translation
+    )
     score_button.click(fn=score_translation, inputs=[src_input, mt_input], outputs=score_output)
 
 if __name__ == "__main__":