251025 instruction change

app.py

@@ -181,10 +181,13 @@ For each video, your job is to rate:
 2. **Physical Plausibility** - how natural and physically possible the motion looks.
 
 Some things to keep in mind:
-- The generated video should **capture** the expected action **throughout the video**.
-- Motions should look **smooth and realistic**, without impossible poses, missing limbs, or extreme stretching.
-- **High Action Consistency doesn’t always mean high Physical Plausibility, and vice versa.**
 - Try to **focus only** on the expected action and motion quality, and do **not** judge **video quality**, **attractiveness**, **background**, **camera motion**, or **objects**.
+- The generated video should **capture** the expected action **throughout the video**.
+- For physical plausibility, you should look **smooth and realistic**, without impossible poses, missing limbs, or extreme stretching.
+- Action consistency and physical plausibility are not mutually exclusive with each other.
+- Physically plausible movements does not imply correct depiction of action.
+- **A video cannot portray action consistency if it has physically impossible movements.**
+- **0: indicates really poor depiction, 10: represents perfect, realistic depiction**
 - You will be **paid** once **all the videos are viewed and rated**.
 """
 
@@ -1139,8 +1142,8 @@ with gr.Blocks(css=CLEAN_BG_CSS) as demo:
                     cur_vid,
                     code,
                     gr.update(visible=True, value=thanks_text),
-                    gr.update(visible=True, value=code),
                     gr.update(visible=True, value=participant_id.strip()),
+                    gr.update(visible=True, value=code),
                     None,  # ⬅️ selected_action reset
                     None,  # ⬅️ selected_phys reset
                     gr.update(interactive=False, variant="secondary"),
@@ -1194,20 +1197,6 @@ with gr.Blocks(css=CLEAN_BG_CSS) as demo:
 
 
 
-    # save_next.click(
-    #     save_and_next,
-    #     inputs=[pid, cur_video_id, score, done_state, order_state, ptr_state, reward_code_state],
-    #     outputs=[
-    #         page_eval, page_thanks,
-    #         status, video, action_tb,
-    #         done_state, progress, score, ptr_state, cur_video_id,
-    #         reward_code_state,                # ✅ state 갱신
-    #         reward_msg,                       # ✅ Thank you 문구 + 안내
-    #         reward_code_box,                   # ✅ 실제 코드 표시
-    #         reward_pid_box
-    #     ]
-    # )
-
     save_next.click(
         save_and_next,
         inputs=[pid, cur_video_id, score_action, score_phys, done_state, order_state, ptr_state, reward_code_state],