Optimize the User process

app.py

@@ -162,7 +162,7 @@ def _score_to_radio_value(score):
 
 def bridge_start_click(st):
     res = emotion.on_restart(st)
-    return res[1], res[0], gr.update(visible=True), res[5], res[4]
+    return res[1], res[0], gr.update(visible=True), res[5], res[4], gr.update(visible=False)
 
 def bridge_stop_click(st):
     res = emotion.on_stop(st)
@@ -172,14 +172,16 @@ def bridge_predict_frame(frame, st):
     res = emotion.on_stream(frame, st)
     out_cam = res[0]; out_result = res[1]; out_st = res[4]; out_btn_start = res[5]
     score_update = gr.update(); tabs_update = gr.update(); out_btn_stop = gr.update()
+    out_btn_stop = gr.update()
+    btn_go_visible = gr.update(visible=False)
 
     if out_st.finished and hasattr(out_st, 'final_score'):
         new_val = _score_to_radio_value(out_st.final_score)
         score_update = gr.update(value=new_val)
-        tabs_update = gr.Tabs(selected=1)
         out_btn_stop = gr.update(visible=False)
+        btn_go_visible = gr.update(visible=True)
         
-    return out_cam, out_result, out_st, out_btn_stop, out_btn_start, score_update, tabs_update
+    return out_cam, out_result, out_st, out_btn_stop, out_btn_start, score_update, tabs_update, btn_go_visible
 
 
 # ==========================================
@@ -204,6 +206,7 @@ with gr.Blocks(title="AI 心情食堂", css=css_) as demo:
 
                 cam = gr.Image(sources=["webcam"], streaming=True, type="numpy", label="攝影機畫面", visible=False)
                 result_markdown = gr.Markdown(emotion._hint_html("請按「開啟攝影機辨識」並允許瀏覽器使用相機。"))
+                btn_go_dining = gr.Button("🚀 確定心情，來找餐廳！", variant="primary", visible=False, size="lg")
 
         # Tab 2: 主功能區
         with gr.TabItem("🍽️ AI 心情食堂 (Step 2)", id=1):
@@ -236,7 +239,7 @@ with gr.Blocks(title="AI 心情食堂", css=css_) as demo:
     btn_start.click(
         fn=bridge_start_click,
         inputs=[st_state],
-        outputs=[result_markdown, cam, btn_stop, btn_start, st_state],
+        outputs=[result_markdown, cam, btn_stop, btn_start, st_state, btn_go_dining],
         show_progress="minimal"
     )
 
@@ -250,10 +253,16 @@ with gr.Blocks(title="AI 心情食堂", css=css_) as demo:
     cam.stream(
         fn=bridge_predict_frame,
         inputs=[cam, st_state],
-        outputs=[cam, result_markdown, st_state, btn_stop, btn_start, score_input, tabs], 
+        outputs=[cam, result_markdown, st_state, btn_stop, btn_start, score_input, btn_go_dining], 
         show_progress="minimal"
     )
 
+    btn_go_dining.click(
+        fn=lambda: gr.Tabs(selected=1),
+        inputs=None,
+        outputs=tabs
+    )
+
     submit_btn.click(
         fn=mood_agent_logic,
         inputs=[score_input, food_input, diary_input],

emotion.py

@@ -150,7 +150,7 @@ def _result_card_html(emo_key: str, conf: Optional[float]) -> str:
       </div>
 
       <div style="font-size:16px;color:#000000;margin-bottom:6px;">
-        心情分數：<b>{score}</b>（{score_desc}）
+        心情分數：{score}（{score_desc}）
       </div>
 
       <div style="font-size:14px;color:#000000;">