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2bedba2
1 Parent(s): ebf3658

历史上的今天,带图片

Browse files
crazy_functions/高级功能函数模板.py CHANGED
@@ -5,15 +5,15 @@ import datetime
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  @CatchException
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  def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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  history = [] # 清空历史,以免输入溢出
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- for i in range(3):
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  currentMonth = (datetime.date.today() + datetime.timedelta(days=i)).month
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  currentDay = (datetime.date.today() + datetime.timedelta(days=i)).day
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- i_say = f'今天是{currentMonth}月{currentDay}日,历史中的{currentMonth}月{currentDay}日发生了哪些大事?'
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  chatbot.append((i_say, "[Local Message] waiting gpt response."))
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  yield chatbot, history, '正常' # 由于请求gpt需要一段时间,我们先及时地做一次状态显示
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  # history = [] 每次询问不携带之前的询问历史
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- gpt_say = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=[], sys_prompt="You are a history teacher.") # 请求gpt,需要一段时间
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  chatbot[-1] = (i_say, gpt_say)
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  history.append(i_say);history.append(gpt_say)
 
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  @CatchException
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  def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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  history = [] # 清空历史,以免输入溢出
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+ for i in range(5):
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  currentMonth = (datetime.date.today() + datetime.timedelta(days=i)).month
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  currentDay = (datetime.date.today() + datetime.timedelta(days=i)).day
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+ i_say = f'历史中哪些事件发生在{currentMonth}月{currentDay}日?列举两条并发送相关图片。'
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  chatbot.append((i_say, "[Local Message] waiting gpt response."))
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  yield chatbot, history, '正常' # 由于请求gpt需要一段时间,我们先及时地做一次状态显示
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  # history = [] 每次询问不携带之前的询问历史
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+ gpt_say = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=[], sys_prompt="当你想发送一张照片时,请使用 Markdown ,并且 不要有反斜线, 不要用代码块。使用 Unsplash API (https://source.unsplash.com/1280x720/? < PUT YOUR QUERY HERE >)。") # 请求gpt,需要一段时间
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  chatbot[-1] = (i_say, gpt_say)
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  history.append(i_say);history.append(gpt_say)
predict.py CHANGED
@@ -83,7 +83,8 @@ def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_pr
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  except StopIteration: break
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  if len(chunk)==0: continue
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  if not chunk.startswith('data:'):
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- raise ConnectionAbortedError("OpenAI返回了错误:" + chunk)
 
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  delta = json.loads(chunk.lstrip('data:'))['choices'][0]["delta"]
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  if len(delta) == 0: break
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  if "role" in delta: continue
 
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  except StopIteration: break
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  if len(chunk)==0: continue
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  if not chunk.startswith('data:'):
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+ chunk = get_full_error(chunk.encode('utf8'), stream_response)
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+ raise ConnectionAbortedError("OpenAI拒绝了请求:" + chunk.decode())
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  delta = json.loads(chunk.lstrip('data:'))['choices'][0]["delta"]
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  if len(delta) == 0: break
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  if "role" in delta: continue