rewrite explanations on task_name arg so gradio mcp instructional modal includes every cases

app.py

@@ -413,10 +413,7 @@ def infer(lq_sequence, task_name, mask, seed, progress=gr.Progress(track_tqdm=Tr
     
     Args:
         lq_sequence: The input low-quality video file (can be a path or Gradio video object).
-        task_name: A list of selected restoration tasks to perform. Choices include,
-            - "BFR" for Blind Face Restoration
-            - "Colorization" for adding color to grayscale footage
-            - "Inpainting" for filling in missing or corrupted regions using a mask
+        task_name: A list of selected restoration tasks to perform. Choices include: "BFR" for Blind Face Restoration, "Colorization" for adding color to grayscale footage, "Inpainting" for filling in missing or corrupted regions using a mask
         mask: An optional image file that defines regions to be inpainted (only needed if "Inpainting" is selected).
         seed: An integer seed for random number generation to ensure reproducibility.
         progress: (Optional) A Gradio progress object for UI progress tracking (used automatically).