diff --git a/crazy_functions/VideoResource_GPT.py b/crazy_functions/VideoResource_GPT.py
index 720715f1..3272b6d3 100644
--- a/crazy_functions/VideoResource_GPT.py
+++ b/crazy_functions/VideoResource_GPT.py
@@ -14,6 +14,7 @@ from request_llms.bridge_all import predict_no_ui_long_connection
 from crazy_functions.prompts.internet import SearchOptimizerPrompt, SearchAcademicOptimizerPrompt
 from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
 from textwrap import dedent
+from loguru import logger
 from pydantic import BaseModel, Field
 
 class Query(BaseModel):
@@ -22,6 +23,7 @@ class Query(BaseModel):
 # {'title': '【麦笛奈Martine】天文馆的猫 | Diffsinger Lynxnet版本中文试听【Cover 泠鸢·折纸信笺】', 'author': '灰条纹的灰猫君', 'author_id': 2083633, 'bvid': 'BV1LSSHYXEtv', '播放量': 75, '弹幕': 0, '评论': 7, '点赞': 5, '发布时间': '2024-10-31 22:10:08', '视频时长': '4:40', 'tag': '虚拟歌姬,鸟蛋,冷鸟,女声翻唱,泠鸢yousa,虚拟主播,虚拟UP主,VTuber,Diffsinger,虚拟歌手分享官,虚拟之声创作计划·2024第三期', 'description': '翻唱：麦笛奈Martine\n调混：灰条纹的灰猫君\nQ版曲绘：西柚Kanno\n原曲：Av847726911\n原唱：泠鸢\n\n滑铲——月更！\n万圣节快乐！今天是和喵星发电报的可爱猫猫~'}
 
 class VideoResource(BaseModel):
+    thought: str = Field(description="analysis of the search results based on the user's query")
     title: str = Field(description="title of the video")
     author: str = Field(description="author/uploader of the video") 
     bvid: str = Field(description="unique ID of the video")
@@ -53,6 +55,12 @@ def get_video_resource(search_keyword):
 
 def download_video(bvid, user_name, chatbot, history):
     from experimental_mods.get_bilibili_resource import download_bilibili
+    # pause a while
+    tic_time = 8
+    for i in range(tic_time):
+        yield from update_ui_lastest_msg(
+            lastmsg=f"即将下载音频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。", 
+            chatbot=chatbot, history=[], delay=1)
 
     # download audio
     chatbot.append((None, "下载音频, 请稍等...")); yield from update_ui(chatbot=chatbot, history=history)
@@ -62,6 +70,14 @@ def download_video(bvid, user_name, chatbot, history):
     preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files]
     file_links = generate_file_link(preview_list)
     yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
+    chatbot.append((None, f"即将下载视频。"))
+
+    # pause a while
+    tic_time = 16
+    for i in range(tic_time):
+        yield from update_ui_lastest_msg(
+            lastmsg=f"即将下载视频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。", 
+            chatbot=chatbot, history=[], delay=1)
 
     # download video
     chatbot.append((None, "下载视频, 请稍等...")); yield from update_ui(chatbot=chatbot, history=history)
@@ -86,31 +102,59 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
     rf_req = dedent(f"""
     The user wish to get the following resource:
         {user_wish}
-    Generate reseach keywords accordingly.
+    Generate reseach keywords (less than 5 keywords) accordingly.
     """)
     gpt_json_io = GptJsonIO(Query)
     inputs = rf_req + gpt_json_io.format_instructions
     run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
     analyze_res = run_gpt_fn(inputs, "")
+    logger.info(analyze_res)
     query: Query = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
+    # 关键词展示
+    chatbot.append((None, f"检索关键词已确认: {query.search_keyword}。筛选中, 请稍等..."))
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+
+    # 获取候选资源
     candadate_dictionary: dict =  get_video_resource(query.search_keyword)
     candadate_dictionary_as_str = json.dumps(candadate_dictionary, ensure_ascii=False, indent=4)
 
-
-    # 筛选
-    chatbot.append((None, f"检索关键词已确认: {query.search_keyword}。筛选中, 请稍等..."))
+    # 展示候选资源
+    candadate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candadate_dictionary)])
+    chatbot.append((None, f"候选:\n\n{candadate_display}"))
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+
     # 结构化生成
     rf_req_2 = dedent(f"""
+    The user wish to get the following resource:
+        {user_wish}
+
     Select the most relevant and suitable video resource from the following search results:
         {candadate_dictionary_as_str}
+
+    Note:
+        1. The first several search video results are more likely to satisfy the user's wish.
+        2. The time duration of the video should be less than 10 minutes.
+        3. You should analyze the search results first, before giving your answer.
+        4. Use Chinese if possible.
     """)
     gpt_json_io = GptJsonIO(VideoResource)
     inputs = rf_req_2 + gpt_json_io.format_instructions
     run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
     analyze_res = run_gpt_fn(inputs, "")
+    logger.info(analyze_res)
     video_resource: VideoResource = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
 
+    # Display
+    chatbot.append(
+        (None, 
+            f"分析：{video_resource.thought}" "<br/>"
+            f"选择: `{video_resource.title}`。" "<br/>" 
+            f"作者：{video_resource.author}"
+        )
+    )
+    chatbot.append((None, f"下载中, 请稍等..."))
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+
     if video_resource and video_resource.bvid:
-        print(video_resource)
+        logger.info(video_resource)
         yield from download_video(video_resource.bvid, chatbot.get_user(), chatbot, history)
\ No newline at end of file
diff --git a/main.py b/main.py
index 021681c4..328402ac 100644
--- a/main.py
+++ b/main.py
@@ -36,7 +36,7 @@ def main():
     import gradio as gr
     if gr.__version__ not in ['3.32.9', '3.32.10', '3.32.11']:
         raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
-    
+
     # 一些基础工具
     from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith