if True:

questions_answers = generate_questions_answers(df_string)

app.py

@@ -582,8 +582,6 @@ def process_youtube_link(password, link):
 
     # 基于逐字稿生成其他所需的输出
     source = "gcs"
-    questions = get_questions(video_id, formatted_simple_transcript, source)
-    questions_json = json.dumps(questions, ensure_ascii=False, indent=2)
     questions_answers = get_questions_answers(video_id, formatted_simple_transcript, source)
     questions_answers_json = json.dumps(questions_answers, ensure_ascii=False, indent=2)
     summary_json = get_video_id_summary(video_id, formatted_simple_transcript, source)
@@ -610,10 +608,6 @@ def process_youtube_link(password, link):
 
     # 确保返回与 UI 组件预期匹配的输出
     return video_id, \
-        questions_json, \
-        questions[0] if len(questions) > 0 else "", \
-        questions[1] if len(questions) > 1 else "", \
-        questions[2] if len(questions) > 2 else "", \
         questions_answers_json, \
         original_transcript, \
         summary_text, \
@@ -1105,19 +1099,19 @@ def get_questions_answers(video_id, df_string, source="gcs"):
         blob_name = f"{video_id}/{file_name}"
         # 检查檔案是否存在
         is_questions_answers_exists = GCS_SERVICE.check_file_exists(bucket_name, blob_name)
-        if not is_questions_answers_exists:
+        # if not is_questions_answers_exists:
+        if True:
             questions_answers = generate_questions_answers(df_string)
-            questions_answers_json = {"questions_answers": questions_answers}
-            questions_answers_text = json.dumps(questions_answers_json, ensure_ascii=False, indent=2)
+            questions_answers_text = json.dumps(questions_answers, ensure_ascii=False, indent=2)
             upload_file_to_gcs_with_json_string(gcs_client, bucket_name, blob_name, questions_answers_text)
             print("questions_answers已上傳到GCS")
         else:
             # questions_answers已存在，下载内容
             print("questions_answers已存在于GCS中")
             questions_answers_text = download_blob_to_string(gcs_client, bucket_name, blob_name)
-            questions_answers_json = json.loads(questions_answers_text)
+            questions_answers = json.loads(questions_answers_text)
 
-    return questions_answers_json
+    return questions_answers
 
 def generate_questions_answers(df_string):
     # 使用 OpenAI 生成基于上传数据的问题
@@ -2385,7 +2379,7 @@ def init_params(text, request: gr.Request):
         password_text, youtube_link, \
         chatbot_open_ai, chatbot_open_ai_streaming, chatbot_jutor
 
-def update_state(content_subject, content_grade, trascript, key_moments, question_1, question_2, question_3):
+def update_state(content_subject, content_grade, trascript, key_moments, questions_answers):
     # inputs=[content_subject, content_grade, df_string_output],
     # outputs=[content_subject_state, content_grade_state, trascript_state]
     content_subject_state = content_subject
@@ -2395,15 +2389,21 @@ def update_state(content_subject, content_grade, trascript, key_moments, questio
     trascript_state = formatted_simple_transcript
     key_moments_state = key_moments
 
-    # streaming_chat_thread_id_state = create_thread_id()
     streaming_chat_thread_id_state = ""
-    
+    questions_answers_json = json.loads(questions_answers)
+    question_1 = questions_answers_json[0]["question"]
+    question_2 = questions_answers_json[1]["question"]
+    question_3 = questions_answers_json[2]["question"]
+    btn_1 = question_1
+    btn_2 = question_2
+    btn_3 = question_3
     ai_chatbot_question_1 = question_1
     ai_chatbot_question_2 = question_2
     ai_chatbot_question_3 = question_3
 
     return content_subject_state, content_grade_state, trascript_state, key_moments_state, \
         streaming_chat_thread_id_state, \
+        btn_1, btn_2, btn_3, \
         ai_chatbot_question_1, ai_chatbot_question_2, ai_chatbot_question_3
 
 
@@ -2885,10 +2885,6 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
     process_youtube_link_inputs = [password, youtube_link]
     process_youtube_link_outputs = [
         video_id,
-        questions_json,
-        btn_1, 
-        btn_2, 
-        btn_3,
         questions_answers_json,
         df_string_output, 
         summary_text,
@@ -2911,9 +2907,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
         content_grade,
         df_string_output,
         key_moments,
-        btn_1, 
-        btn_2, 
-        btn_3,
+        questions_answers_json,
     ]
     update_state_outputs = [
         content_subject_state, 
@@ -2921,6 +2915,9 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
         trascript_state,
         key_moments_state,
         streaming_chat_thread_id_state,
+        btn_1, 
+        btn_2, 
+        btn_3,
         ai_chatbot_question_1,
         ai_chatbot_question_2,
         ai_chatbot_question_3