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app.py

@@ -40,7 +40,6 @@ print("📄 Files:", [p.name for p in LOCAL_DATA_DIR.iterdir()])
 OMNI_MLLM_RENAME = {
     "Task1-1": "Image\nUnderstanding",
     "Task1-2": "Video\nUnderstanding",
-    "Task1-3": "Audio\nReasoning",
 
     "Task2-1": "Speech-Driven\nImage Understanding",
     "Task2-2": "Image-Audio\nReasoning",
@@ -56,6 +55,10 @@ OMNI_MLLM_RENAME = {
     "Task3-6": "Next-Action\nPrediction",
 }
 
+AUDIO_RENAME = {
+    "Task1-3": "Audio\nReasoning"
+}
+
 IMAGE_GEN_RENAME = {
     "WIScore": "WIScore",
     "SC": "Semantic\nConsistency",
@@ -290,6 +293,19 @@ with gr.Blocks(
                 value=df_vid,
                 interactive=False,
             )
+        
+        # ---------- Audio Reasoning ----------
+        with gr.Tab("🎵 Audio Reasoning"):
+            gr.Markdown("Evaluation results for audio reasoning models.")
+
+            df_aud = load_csv("audio-reasoning.csv", sort_key="Task1-3")
+            df_aud = df_aud.rename(columns=AUDIO_RENAME)
+
+            audio_table = gr.Dataframe(
+                value=df_aud,
+                interactive=False,
+            )
+            
             
     # ---------- Refresh ----------
     gr.Button("🔄 Refresh All").click(
@@ -297,8 +313,9 @@ with gr.Blocks(
             load_csv("omni-mllm.csv", "Overall").rename(columns=OMNI_MLLM_RENAME),
             load_csv("image-gen.csv", "Overall").rename(columns=IMAGE_GEN_RENAME),
             load_csv("video-gen.csv", "Overall").rename(columns=VIDEO_GEN_RENAME),
+            load_csv("audio-reasoning.csv", "Task1-3").rename(columns=AUDIO_RENAME),
         ),
-        outputs=[omni_table, image_table, video_table],
+        outputs=[omni_table, image_table, video_table, audio_table],
     )
 
 demo.launch()