st

crazy_functions/批量总结PDF文档pdfminer.py

@@ -1,4 +1,5 @@
 from request_llm.bridge_chatgpt import predict_no_ui
+from toolbox import update_ui
 from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down
 
 fast_debug = False
@@ -77,26 +78,22 @@ def 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, hist
         i_say = prefix + f'请对下面的文章片段用中文做一个概述，文件名是{os.path.relpath(fp, project_folder)}，文章内容是 ```{file_content}```'
         i_say_show_user = prefix + f'[{index}/{len(file_manifest)}] 请对下面的文章片段做一个概述: {os.path.abspath(fp)}'
         chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
-        print('[1] yield chatbot, history')
-        yield chatbot, history, '正常'
+        yield from update_ui(chatbot=chatbot, history=history)
 
         if not fast_debug:
             msg = '正常'
             # ** gpt request **
             gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[])   # 带超时倒计时
 
-            print('[2] end gpt req')
             chatbot[-1] = (i_say_show_user, gpt_say)
             history.append(i_say_show_user); history.append(gpt_say)
-            print('[3] yield chatbot, history')
-            yield chatbot, history, msg
-            print('[4] next')
+            yield from update_ui(chatbot=chatbot, history=chatbot, msg=msg)
             if not fast_debug: time.sleep(2)
 
     all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
     i_say = f'根据以上你自己的分析，对全文进行概括，用学术性语言写一段中文摘要，然后再写一段英文摘要（包括{all_file}）。'
     chatbot.append((i_say, "[Local Message] waiting gpt response."))
-    yield chatbot, history, '正常'
+    yield from update_ui(chatbot=chatbot, history=history)
 
     if not fast_debug:
         msg = '正常'
@@ -105,10 +102,10 @@ def 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, hist
 
         chatbot[-1] = (i_say, gpt_say)
         history.append(i_say); history.append(gpt_say)
-        yield chatbot, history, msg
+        yield from update_ui(chatbot=chatbot, history=chatbot, msg=msg)
         res = write_results_to_file(history)
         chatbot.append(("完成了吗？", res))
-        yield chatbot, history, msg
+        yield from update_ui(chatbot=chatbot, history=chatbot, msg=msg)
 
 
 
@@ -121,7 +118,7 @@ def 批量总结PDF文档pdfminer(txt, top_p, temperature, chatbot, history, sys
     chatbot.append([
         "函数插件功能？",
         "批量总结PDF文档，此版本使用pdfminer插件，带token约简功能。函数插件贡献者: Euclid-Jie。"])
-    yield chatbot, history, '正常'
+    yield from update_ui(chatbot=chatbot, history=history)
 
     # 尝试导入依赖，如果缺少依赖，则给出安装建议
     try:
@@ -130,14 +127,14 @@ def 批量总结PDF文档pdfminer(txt, top_p, temperature, chatbot, history, sys
         report_execption(chatbot, history, 
             a = f"解析项目: {txt}", 
             b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pdfminer beautifulsoup4```。")
-        yield chatbot, history, '正常'
+        yield from update_ui(chatbot=chatbot, history=history)
         return
     if os.path.exists(txt):
         project_folder = txt
     else:
         if txt == "": txt = '空空如也的输入栏'
         report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
-        yield chatbot, history, '正常'
+        yield from update_ui(chatbot=chatbot, history=history)
         return
     file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + \
                     [f for f in glob.glob(f'{project_folder}/**/*.pdf', recursive=True)] # + \
@@ -145,7 +142,7 @@ def 批量总结PDF文档pdfminer(txt, top_p, temperature, chatbot, history, sys
                     # [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
     if len(file_manifest) == 0:
         report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或pdf文件: {txt}")
-        yield chatbot, history, '正常'
+        yield from update_ui(chatbot=chatbot, history=history)
         return
     yield from 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)