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from toolbox import update_ui
from toolbox import CatchException, get_conf, markdown_convertion
from crazy_functions.crazy_utils import input_clipping
from crazy_functions.agent_fns.watchdog import WatchDog
from request_llms.bridge_all import predict_no_ui_long_connection
import threading, time
import numpy as np
from .live_audio.aliyunASR import AliyunASR
import json
import re
def chatbot2history(chatbot):
history = []
for c in chatbot:
for q in c:
if q in ["[ 请讲话 ]", "[ 等待GPT响应 ]", "[ 正在等您说完问题 ]"]:
continue
elif q.startswith("[ 正在等您说完问题 ]"):
continue
else:
history.append(q.strip('<div class="markdown-body">').strip('</div>').strip('<p>').strip('</p>'))
return history
def visualize_audio(chatbot, audio_shape):
if len(chatbot) == 0: chatbot.append(["[ 请讲话 ]", "[ 正在等您说完问题 ]"])
chatbot[-1] = list(chatbot[-1])
p1 = '「'
p2 = '」'
chatbot[-1][-1] = re.sub(p1+r'(.*)'+p2, '', chatbot[-1][-1])
chatbot[-1][-1] += (p1+f"`{audio_shape}`"+p2)
class AsyncGptTask():
def __init__(self) -> None:
self.observe_future = []
self.observe_future_chatbot_index = []
def gpt_thread_worker(self, i_say, llm_kwargs, history, sys_prompt, observe_window, index):
try:
MAX_TOKEN_ALLO = 2560
i_say, history = input_clipping(i_say, history, max_token_limit=MAX_TOKEN_ALLO)
gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, llm_kwargs=llm_kwargs, history=history, sys_prompt=sys_prompt,
observe_window=observe_window[index], console_slience=True)
except ConnectionAbortedError as token_exceed_err:
print('至少一个线程任务Token溢出而失败', e)
except Exception as e:
print('至少一个线程任务意外失败', e)
def add_async_gpt_task(self, i_say, chatbot_index, llm_kwargs, history, system_prompt):
self.observe_future.append([""])
self.observe_future_chatbot_index.append(chatbot_index)
cur_index = len(self.observe_future)-1
th_new = threading.Thread(target=self.gpt_thread_worker, args=(i_say, llm_kwargs, history, system_prompt, self.observe_future, cur_index))
th_new.daemon = True
th_new.start()
def update_chatbot(self, chatbot):
for of, ofci in zip(self.observe_future, self.observe_future_chatbot_index):
try:
chatbot[ofci] = list(chatbot[ofci])
chatbot[ofci][1] = markdown_convertion(of[0])
except:
self.observe_future = []
self.observe_future_chatbot_index = []
return chatbot
class InterviewAssistant(AliyunASR):
def __init__(self):
self.capture_interval = 0.5 # second
self.stop = False
self.parsed_text = "" # 下个句子中已经说完的部分, 由 test_on_result_chg() 写入
self.parsed_sentence = "" # 某段话的整个句子, 由 test_on_sentence_end() 写入
self.buffered_sentence = "" #
self.audio_shape = "" # 音频的可视化表现, 由 audio_convertion_thread() 写入
self.event_on_result_chg = threading.Event()
self.event_on_entence_end = threading.Event()
self.event_on_commit_question = threading.Event()
def __del__(self):
self.stop = True
self.stop_msg = ""
self.commit_wd.kill_dog = True
self.plugin_wd.kill_dog = True
def init(self, chatbot):
# 初始化音频采集线程
self.captured_audio = np.array([])
self.keep_latest_n_second = 10
self.commit_after_pause_n_second = 2.0
self.ready_audio_flagment = None
self.stop = False
self.plugin_wd = WatchDog(timeout=5, bark_fn=self.__del__, msg="程序终止")
self.aut = threading.Thread(target=self.audio_convertion_thread, args=(chatbot._cookies['uuid'],))
self.aut.daemon = True
self.aut.start()
# th2 = threading.Thread(target=self.audio2txt_thread, args=(chatbot._cookies['uuid'],))
# th2.daemon = True
# th2.start()
def no_audio_for_a_while(self):
if len(self.buffered_sentence) < 7: # 如果一句话小于7个字，暂不提交
self.commit_wd.begin_watch()
else:
self.event_on_commit_question.set()
def begin(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
# main plugin function
self.init(chatbot)
chatbot.append(["[ 请讲话 ]", "[ 正在等您说完问题 ]"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
self.plugin_wd.begin_watch()
self.agt = AsyncGptTask()
self.commit_wd = WatchDog(timeout=self.commit_after_pause_n_second, bark_fn=self.no_audio_for_a_while, interval=0.2)
self.commit_wd.begin_watch()
while not self.stop:
self.event_on_result_chg.wait(timeout=0.25) # run once every 0.25 second
chatbot = self.agt.update_chatbot(chatbot) # 将子线程的gpt结果写入chatbot
history = chatbot2history(chatbot)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
self.plugin_wd.feed()
if self.event_on_result_chg.is_set():
# called when some words have finished
self.event_on_result_chg.clear()
chatbot[-1] = list(chatbot[-1])
chatbot[-1][0] = self.buffered_sentence + self.parsed_text
history = chatbot2history(chatbot)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
self.commit_wd.feed()
if self.event_on_entence_end.is_set():
# called when a sentence has ended
self.event_on_entence_end.clear()
self.parsed_text = self.parsed_sentence
self.buffered_sentence += self.parsed_text
chatbot[-1] = list(chatbot[-1])
chatbot[-1][0] = self.buffered_sentence
history = chatbot2history(chatbot)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
if self.event_on_commit_question.is_set():
# called when a question should be commited
self.event_on_commit_question.clear()
if len(self.buffered_sentence) == 0: raise RuntimeError
self.commit_wd.begin_watch()
chatbot[-1] = list(chatbot[-1])
chatbot[-1] = [self.buffered_sentence, "[ 等待GPT响应 ]"]
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# add gpt task 创建子线程请求gpt，避免线程阻塞
history = chatbot2history(chatbot)
self.agt.add_async_gpt_task(self.buffered_sentence, len(chatbot)-1, llm_kwargs, history, system_prompt)
self.buffered_sentence = ""
chatbot.append(["[ 请讲话 ]", "[ 正在等您说完问题 ]"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
if not self.event_on_result_chg.is_set() and not self.event_on_entence_end.is_set() and not self.event_on_commit_question.is_set():
visualize_audio(chatbot, self.audio_shape)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
if len(self.stop_msg) != 0:
raise RuntimeError(self.stop_msg)
@CatchException
def 语音助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
# pip install -U openai-whisper
chatbot.append(["对话助手函数插件：使用时，双手离开鼠标键盘吧", "音频助手, 正在听您讲话（点击“停止”键可终止程序）..."])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# 尝试导入依赖，如果缺少依赖，则给出安装建议
try:
import nls
from scipy import io
except:
chatbot.append(["导入依赖失败", "使用该模块需要额外依赖, 安装方法:```pip install --upgrade aliyun-python-sdk-core==2.13.3 pyOpenSSL webrtcvad scipy git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git```"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
APPKEY = get_conf('ALIYUN_APPKEY')
if APPKEY == "":
chatbot.append(["导入依赖失败", "没有阿里云语音识别APPKEY和TOKEN, 详情见https://help.aliyun.com/document_detail/450255.html"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
return
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
ia = InterviewAssistant()
yield from ia.begin(llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
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