def get_meta_data(video_id, source="gcs"):

app.py

@@ -573,6 +573,9 @@ def process_youtube_link(password, link):
     mind_map_html = get_mind_map_html(mind_map)
     reading_passage_json = get_reading_passage(video_id, formatted_simple_transcript, source)
     reading_passage = reading_passage_json["reading_passage"]
+    meta_data = get_meta_data(video_id)
+    subject = meta_data["subject"]
+    grade = meta_data["grade"]
 
     # 确保返回与 UI 组件预期匹配的输出
     return video_id, \
@@ -587,7 +590,9 @@ def process_youtube_link(password, link):
         simple_html_content, \
         first_image, \
         first_text, \
-        reading_passage
+        reading_passage, \
+        subject, \
+        grade
             
 def format_transcript_to_html(formatted_transcript):
     html_content = ""
@@ -1005,6 +1010,48 @@ def change_questions(password, df_string):
 
 
 # AI 生成教學素材
+def get_meta_data(video_id, source="gcs"):
+    if source == "gcs":
+        print("===get_meta_data on gcs===")
+        gcs_client = GCS_CLIENT
+        bucket_name = 'video_ai_assistant'
+        file_name = f'{video_id}_meta_data.json'
+        blob_name = f"{video_id}/{file_name}"
+        # 检查檔案是否存在
+        is_file_exists = GCS_SERVICE.check_file_exists(bucket_name, blob_name)
+        if not is_file_exists:
+            meta_data_json = {
+                "subject": "",
+                "grade": "",
+            }
+            print("meta_data empty return")
+        else:
+            # meta_data已存在，下载内容
+            print("meta_data已存在于GCS中")
+            meta_data_text = download_blob_to_string(gcs_client, bucket_name, blob_name)
+            meta_data_json = json.loads(meta_data_text)
+
+    # meta_data_json grade 數字轉換成文字
+    grade = meta_data_json["grade"]
+    case = {
+        1: "一年級",
+        2: "二年級",
+        3: "三年級",
+        4: "四年級",
+        5: "五年級",
+        6: "六年級",
+        7: "七年級",
+        8: "八年級",
+        9: "九年級",
+        10: "十年級",
+        11: "十一年級",
+        12: "十二年級",
+    }
+    grade_text = case.get(grade, "")
+    meta_data_json["grade"] = grade_text
+
+    return meta_data_json
+
 def get_ai_content(password, video_id, df_string, topic, grade, level, specific_feature, content_type, source="gcs"):
     verify_password(password)
     if source == "gcs":
@@ -1712,7 +1759,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
 
     with gr.Tab("教師版"):
         with gr.Row():
-            content_topic = gr.Dropdown(label="選擇主題", choices=["數學", "自然", "國文", "英文", "社會","物理", "化學", "生物", "地理", "歷史", "公民"], value="數學")             
+            content_subject = gr.Dropdown(label="選擇主題", choices=["數學", "自然", "國文", "英文", "社會","物理", "化學", "生物", "地理", "歷史", "公民"], value="數學")             
             content_grade = gr.Dropdown(label="選擇年級", choices=["一年級", "二年級", "三年級", "四年級", "五年級", "六年級", "七年級", "八年級", "九年級", "十年級", "十一年級", "十二年級"], value="三年級")
             content_level = gr.Dropdown(label="差異化教學", choices=["基礎", "中級", "進階"], value="基礎")
         with gr.Row():
@@ -1844,44 +1891,33 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
     file_upload.change(process_file, inputs=file_upload, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])
 
     # 当输入 YouTube 链接时触发
+    process_youtube_link_output = [
+        video_id,
+        btn_1, 
+        btn_2, 
+        btn_3, 
+        df_string_output, 
+        df_summarise, 
+        mind_map, 
+        mind_map_html,
+        transcript_html,
+        simple_html_content, 
+        slide_image, 
+        slide_text,
+        reading_passage,
+        content_subject,
+        content_grade,
+    ]
     youtube_link.change(
         process_youtube_link, 
         inputs=[password,youtube_link], 
-        outputs=[
-            video_id,
-            btn_1, 
-            btn_2, 
-            btn_3, 
-            df_string_output, 
-            df_summarise, 
-            mind_map, 
-            mind_map_html,
-            transcript_html,
-            simple_html_content, 
-            slide_image, 
-            slide_text,
-            reading_passage
-        ]
+        outputs=process_youtube_link_output
     )
     
     youtube_link_btn.click(
         process_youtube_link, 
         inputs=[password, youtube_link], 
-        outputs=[
-            video_id,
-            btn_1, 
-            btn_2, 
-            btn_3, 
-            df_string_output, 
-            df_summarise, 
-            mind_map, 
-            mind_map_html,
-            transcript_html, 
-            simple_html_content,
-            slide_image, 
-            slide_text,
-            reading_passage
-        ]
+        outputs=process_youtube_link_output
     )
 
     # 当输入网页链接时触发
@@ -1897,17 +1933,17 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
     # 教師版 學習單
     worksheet_content_btn.click(
         get_ai_content,
-        inputs=[password, video_id, df_string_output, content_topic, content_grade, content_level, worksheet_algorithm, worksheet_content_type_name],
+        inputs=[password, video_id, df_string_output, content_subject, content_grade, content_level, worksheet_algorithm, worksheet_content_type_name],
         outputs=[worksheet_exam_result_original, worksheet_exam_result, worksheet_prompt, worksheet_exam_result_prompt]
     )
     lesson_plan_btn.click(
         get_ai_content,
-        inputs=[password, video_id, df_string_output, content_topic, content_grade, content_level, lesson_plan_time, lesson_plan_content_type_name],
+        inputs=[password, video_id, df_string_output, content_subject, content_grade, content_level, lesson_plan_time, lesson_plan_content_type_name],
         outputs=[lesson_plan_exam_result_original, lesson_plan_exam_result, lesson_plan_prompt, lesson_plan_exam_result_prompt]
     )
     exit_ticket_btn.click(
         get_ai_content,
-        inputs=[password, video_id, df_string_output, content_topic, content_grade, content_level, exit_ticket_time, exit_ticket_content_type_name],
+        inputs=[password, video_id, df_string_output, content_subject, content_grade, content_level, exit_ticket_time, exit_ticket_content_type_name],
         outputs=[exit_ticket_exam_result_original, exit_ticket_exam_result, exit_ticket_prompt, exit_ticket_exam_result_prompt]
     )