Update app.py

app.py

@@ -8,7 +8,7 @@ model = load_from_checkpoint(model_path)
 def score_translation(src_text, mt_text):
     translations = [{"src": src_text, "mt": mt_text}]
     results = model.predict(translations, batch_size=1, gpus=1)
-    return results['scores'][0]
+    return results["scores"][0]
 
 examples = [
     ["The weather is beautiful today.", "วันนี้อากาศดีมาก"],
@@ -17,21 +17,25 @@ examples = [
     ["Can you help me find the nearest train station?", "คุณช่วยฉันหาสถานีรถไฟที่ใกล้ที่สุดได้ไหม"]
 ]
 
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
+font_css = """
+@import url("https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;700&display=swap");
+
+* {
+    font-family: 'JetBrains Mono', monospace !important;
+}
+"""
+
+with gr.Blocks(theme=gr.themes.Soft(), css=font_css) as demo:
     gr.Markdown("# ComeTH Translation Quality Evaluator")
-    
     with gr.Row():
         with gr.Column():
             src_input = gr.Textbox(label="Source Text (English)", placeholder="Enter English text here...")
             mt_input = gr.Textbox(label="Candidate Translation (Thai)", placeholder="Enter Thai translation here...")
             score_button = gr.Button("Evaluate Translation", variant="primary")
-        
         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)
-    
     score_button.click(fn=score_translation, inputs=[src_input, mt_input], outputs=score_output)
 
 if __name__ == "__main__":