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优化提示
Browse files
request_llm/bridge_newbing.py
CHANGED
@@ -611,7 +611,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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单线程方法
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函数的说明请见 request_llm/bridge_all.py
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"""
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-
chatbot.append((inputs, "[Local Message]: 等待
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global newbing_handle
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if (newbing_handle is None) or (not newbing_handle.success):
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@@ -633,7 +633,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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for i in range(len(history)//2):
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history_feedin.append([history[2*i], history[2*i+1]] )
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-
chatbot[-1] = (inputs, "[Local Message]: 等待
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yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢,尚未完成全部响应,请耐心完成后再提交新问题。")
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for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
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chatbot[-1] = (inputs, preprocess_newbing_out(response))
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单线程方法
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函数的说明请见 request_llm/bridge_all.py
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"""
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+
chatbot.append((inputs, "[Local Message]: 等待NewBing响应中 ..."))
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global newbing_handle
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if (newbing_handle is None) or (not newbing_handle.success):
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for i in range(len(history)//2):
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history_feedin.append([history[2*i], history[2*i+1]] )
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+
chatbot[-1] = (inputs, "[Local Message]: 等待NewBing响应中 ...")
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yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢,尚未完成全部响应,请耐心完成后再提交新问题。")
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for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
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chatbot[-1] = (inputs, preprocess_newbing_out(response))
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