63 lines
2.4 KiB
Python
63 lines
2.4 KiB
Python
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import time
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import threading
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import importlib
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from toolbox import update_ui, get_conf, update_ui_lastest_msg
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from multiprocessing import Process, Pipe
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model_name = '星火认知大模型'
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def validate_key():
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XFYUN_APPID = get_conf('XFYUN_APPID')
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if XFYUN_APPID == '00000000' or XFYUN_APPID == '':
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return False
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return True
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def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=[], console_slience=False):
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"""
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⭐多线程方法
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函数的说明请见 request_llms/bridge_all.py
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"""
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watch_dog_patience = 5
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response = ""
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if validate_key() is False:
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raise RuntimeError('请配置讯飞星火大模型的XFYUN_APPID, XFYUN_API_KEY, XFYUN_API_SECRET')
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from .com_sparkapi import SparkRequestInstance
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sri = SparkRequestInstance()
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for response in sri.generate(inputs, llm_kwargs, history, sys_prompt, use_image_api=False):
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if len(observe_window) >= 1:
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observe_window[0] = response
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if len(observe_window) >= 2:
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if (time.time()-observe_window[1]) > watch_dog_patience: raise RuntimeError("程序终止。")
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return response
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def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
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"""
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⭐单线程方法
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函数的说明请见 request_llms/bridge_all.py
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"""
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chatbot.append((inputs, ""))
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yield from update_ui(chatbot=chatbot, history=history)
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if validate_key() is False:
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yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置讯飞星火大模型的XFYUN_APPID, XFYUN_API_KEY, XFYUN_API_SECRET", chatbot=chatbot, history=history, delay=0)
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return
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if additional_fn is not None:
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from core_functional import handle_core_functionality
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inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
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# 开始接收回复
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from .com_sparkapi import SparkRequestInstance
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sri = SparkRequestInstance()
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for response in sri.generate(inputs, llm_kwargs, history, system_prompt, use_image_api=True):
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chatbot[-1] = (inputs, response)
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yield from update_ui(chatbot=chatbot, history=history)
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# 总结输出
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if response == f"[Local Message] 等待{model_name}响应中 ...":
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response = f"[Local Message] {model_name}响应异常 ..."
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history.extend([inputs, response])
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yield from update_ui(chatbot=chatbot, history=history) |