AI card visible false

app.py

@@ -1092,23 +1092,27 @@ def generate_questions(df_string):
 
 def get_questions_answers(video_id, df_string, source="gcs"):
     if source == "gcs":
-        print("===get_questions_answers on gcs===")
-        gcs_client = GCS_CLIENT
-        bucket_name = 'video_ai_assistant'
-        file_name = f'{video_id}_questions_answers.json'
-        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:
-            questions_answers = generate_questions_answers(df_string)
-            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.loads(questions_answers_text)
+        try:
+            print("===get_questions_answers on gcs===")
+            gcs_client = GCS_CLIENT
+            bucket_name = 'video_ai_assistant'
+            file_name = f'{video_id}_questions_answers.json'
+            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:
+                questions_answers = generate_questions_answers(df_string)
+                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.loads(questions_answers_text)
+        except:
+            questions = get_questions(video_id, df_string, source)
+            questions_answers = [{"question": q, "answer": ""} for q in questions]
 
     return questions_answers
 
@@ -1118,11 +1122,6 @@ def generate_questions_answers(df_string):
         df_string_json = json.loads(df_string)
     else:
         df_string_json = df_string
-    
-    content_text = json.dumps(df_string_json, ensure_ascii=False, indent=2)
-    print("=====content_text=====")
-    print(content_text)
-    print("=====content_text=====")
 
     # JSON FORMAT: [{"question": "問題", "answer": "答案"}, ...]
     sys_content = "你是一個擅長資料分析跟影片教學的老師，user 為學生，請精讀資料文本，自行判斷資料的種類，並用既有資料為本質猜測用戶可能會問的問題，使用 zh-TW"
@@ -1962,7 +1961,7 @@ def chat_with_ai(ai_name, password, video_id, user_data, trascript_state, key_mo
     for qa in questions_answers_json:
         question = qa["question"]
         answer = qa["answer"]
-        if user_message == question:
+        if user_message == question and answer != "":
             print("=== in questions_answers_json==")
             print(f"question: {question}")
             print(f"answer: {answer}")
@@ -2061,7 +2060,7 @@ def chat_with_opan_ai_assistant(password, youtube_id, user_data, thread_id, tras
     for qa in questions_answers_json:
         question = qa["question"]
         answer = qa["answer"]
-        if user_message == question:
+        if user_message == question and answer != "":
             print("=== in questions_answers_json==")
             print(f"question: {question}")
             print(f"answer: {answer}")
@@ -2539,7 +2538,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
     with gr.Tab("AI小精靈"):
         with gr.Accordion("選擇 AI 小精靈", open=True) as chatbot_select_accordion:
             with gr.Row():
-                with gr.Column(scale=1, variant="panel"):
+                with gr.Column(scale=1, variant="panel", visible=False):
                     chatbot_avatar_url = "https://junyitopicimg.s3.amazonaws.com/s4byy--icon.jpe?v=20200513013523726"
                     chatbot_description = """Hi，我是你的AI學伴【飛特精靈】，\n
                     我可以陪你一起學習本次的內容，有什麼問題都可以問我喔！\n
@@ -2553,7 +2552,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
                     gr.Image(value=chatbot_avatar_url, height=100, width=100, show_label=False, show_download_button=False)
                     chatbot_open_ai_select_btn = gr.Button("👆選擇【飛特精靈】", elem_id="chatbot_btn", visible=True, variant="primary")
                     gr.Markdown(value=chatbot_description, visible=True)
-                with gr.Column(scale=1, variant="panel"):
+                with gr.Column(scale=1, variant="panel", visible=False):
                     streaming_chatbot_avatar_url = "https://storage.googleapis.com/wpassets.junyiacademy.org/1/2020/11/1-%E6%98%9F%E7%A9%BA%E9%A0%AD%E8%B2%BC-%E5%A4%AA%E7%A9%BA%E7%8B%90%E7%8B%B8%E8%B2%93-150x150.png"
                     streaming_chatbot_description = """Hi，我是【飛特音速】， \n
                     說話比較快，但有什麼問題都可以問我喔！ \n
@@ -2585,7 +2584,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
                 bot_avatar = "https://junyitopicimg.s3.amazonaws.com/s4byy--icon.jpe?v=20200513013523726"
                 latex_delimiters = [{"left": "$", "right": "$", "display": False}]
                 chatbot_greeting = [[
-                    None,
+                    "請問你是誰？",
                     """Hi，我是你的AI學伴【飛特精靈】，我可以陪你一起學習本次的內容，有什麼問題都可以問我喔！
                     🤔 如果你不知道怎麼發問，可以點擊左下方的問題一、問題二、問題三，我會幫你生成問題！
                     🗣️ 也可以點擊右下方用語音輸入，我會幫你轉換成文字，厲害吧！
@@ -2632,7 +2631,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
         with gr.Row("其他精靈") as chatbot_jutor:   
             with gr.Column():
                 ai_chatbot_greeting = [[
-                    None,
+                    "請問你是誰？",
                     """Hi，我是飛特精靈的朋友們【梨梨、麥麥、狐狸貓】，也可以陪你一起學習本次的內容，有什麼問題都可以問我喔！
                     🤔 如果你不知道怎麼發問，可以點擊左下方的問題一、問題二、問題三，我會幫你生成問題！
                     🗣️ 也可以點擊右下方用語音輸入，我會幫你轉換成文字，厲害吧！
@@ -2641,7 +2640,12 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
                     """,
                 ]]
                 ai_chatbot_bot_avatar = "https://storage.googleapis.com/wpassets.junyiacademy.org/1/2019/11/%E5%9B%9B%E6%A0%BC%E6%95%85%E4%BA%8B-04.jpg"
-                ai_name = gr.Dropdown(label="選擇 AI 助理", choices=[("梨梨","jutor"), ("麥麥","claude3"), ("狐狸貓","groq")], value="jutor")
+                ai_name = gr.Dropdown(label="選擇 AI 助理", choices=[
+                    # ("梨梨","jutor"), 
+                    ("麥麥","claude3"), 
+                    ("狐狸貓","groq")], 
+                        value="claude3"
+                )
                 ai_chatbot = gr.Chatbot(avatar_images=[user_avatar, ai_chatbot_bot_avatar], label="ai_chatbot", show_share_button=False, likeable=True, show_label=False, latex_delimiters=latex_delimiters, value=ai_chatbot_greeting)
                 ai_chatbot_socratic_mode_btn = gr.Checkbox(label="蘇格拉底家教助理模式", value=True, visible=False)
                 with gr.Row():