chunzhi/chatgpt_academic
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

语音模组第一个版本

Browse Source
This commit is contained in:
505030475 2023-07-03 00:13:10 +08:00
parent a330d6636e
commit 2dc8718041
3 changed files with 84 additions and 40 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

27
crazy_functions/live_audio/aliyunASR.py
View File

@ -2,33 +2,6 @@ import time, threading
class AliyunASR():
def __init__(self):
self.event_on_result_chg = threading.Event()
self.event_on_entence_end = threading.Event()
def test_on_sentence_begin(self, message, *args):
print("test_on_sentence_begin:{}".format(message))
def test_on_sentence_end(self, message, *args):
print("test_on_sentence_end:{}".format(message))
self.event_on_entence_end.set()
def test_on_start(self, message, *args):
print("test_on_start:{}".format(message))
def test_on_error(self, message, *args):
print("on_error args=>{}".format(args))
def test_on_close(self, *args):
print("on_close: args=>{}".format(args))
def test_on_result_chg(self, message, *args):
print("test_on_chg:{}".format(message))
self.parsed_text = message['payload']['result']
self.event_on_result_chg.set()
def test_on_completed(self, message, *args):
print("on_completed:args=>{} message=>{}".format(args, message))
def audio_convertion_thread(self, uuid):
# 在一个异步线程中采集音频

95
crazy_functions/辅助面试.py
View File

@ -1,17 +1,29 @@
from toolbox import update_ui
from toolbox import CatchException, report_execption, write_results_to_file
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
from request_llm.bridge_all import predict_no_ui_long_connection
import threading, time
import numpy as np
from .live_audio.aliyunASR import AliyunASR
import json
def gpt_thread_worker(i_say, llm_kwargs, history, sys_prompt, observe_window, index):
try:
gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=observe_window[index])
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)
class InterviewAssistant(AliyunASR):
def __init__(self):
super(InterviewAssistant, self).__init__()
self.capture_interval = 0.5 # second
self.stop = False
self.parsed_text = ""
self.event_on_result_chg = threading.Event()
self.event_on_entence_end = threading.Event()
def init(self, chatbot):
# 初始化音频采集线程
@ -22,30 +34,91 @@ class InterviewAssistant(AliyunASR):
th1 = threading.Thread(target=self.audio_convertion_thread, args=(chatbot._cookies['uuid'],))
th1.daemon = True
th1.start()
# th2 = threading.Thread(target=self.audio2txt_thread, args=(chatbot._cookies['uuid'],))
# th2.daemon = True
# th2.start()
def test_on_sentence_begin(self, message, *args):
print("test_on_sentence_begin:{}".format(message))
def test_on_sentence_end(self, message, *args):
print("test_on_sentence_end:{}".format(message))
message = json.loads(message)
self.parsed_sentence = message['payload']['result']
self.event_on_entence_end.set()
def test_on_start(self, message, *args):
print("test_on_start:{}".format(message))
def test_on_error(self, message, *args):
print("on_error args=>{}".format(args))
def test_on_close(self, *args):
print("on_close: args=>{}".format(args))
def test_on_result_chg(self, message, *args):
print("test_on_chg:{}".format(message))
message = json.loads(message)
self.parsed_text = message['payload']['result']
self.event_on_result_chg.set()
def test_on_completed(self, message, *args):
print("on_completed:args=>{} message=>{}".format(args, message))
def gpt_answer(self, text, chatbot, history, llm_kwargs):
i_say = inputs_show_user = text
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
inputs=i_say, inputs_show_user=inputs_show_user,
llm_kwargs=llm_kwargs, chatbot=chatbot, history=history,
sys_prompt="你是求职者，正在参加面试，请回答问题。"
sys_prompt="请回答问题。" # 你是求职者，正在参加面试，
)
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
history.extend([i_say, gpt_say])
def begin(self, llm_kwargs, plugin_kwargs, chatbot, history):
# 面试插件主函数
def begin(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
# main plugin function
self.init(chatbot)
chatbot.append(["", ""])
observe_future = []
observe_future_chatbot_index = []
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
while True:
self.event_on_result_chg.wait()
chatbot[-1][0] = self.parsed_text
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# if self.event_on_entence_end
# yield from self.gpt_answer(text, chatbot, history, llm_kwargs)
# self.ready_audio_flagment = None
self.event_on_result_chg.wait(timeout=0.5)
for of, ofci in zip(observe_future, observe_future_chatbot_index):
try:
chatbot[ofci] = list(chatbot[ofci])
chatbot[ofci][1] = of[0]
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
except:
observe_future = []
observe_future_chatbot_index = []
if self.event_on_result_chg.is_set():
self.event_on_result_chg.clear()
# update audio decode result
chatbot[-1] = list(chatbot[-1])
chatbot[-1][0] = self.parsed_text
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
if self.event_on_entence_end.is_set():
# called when a sentence is done
self.event_on_entence_end.clear()
chatbot[-1] = list(chatbot[-1])
chatbot[-1][0] = self.parsed_sentence
chatbot[-1][1] = "[waiting gpt reply]"
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
# add gpt task
observe_future.append([""])
observe_future_chatbot_index.append(len(chatbot)-1)
cur_index = len(observe_future)-1
th_new = threading.Thread(target=gpt_thread_worker, args=(self.parsed_sentence, llm_kwargs, history, system_prompt, observe_future, cur_index))
th_new.daemon = True
th_new.start()
chatbot.append(["", ""])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
@CatchException
def 辅助面试(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
@ -55,5 +128,5 @@ def 辅助面试(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
ia = InterviewAssistant()
yield from ia.begin(llm_kwargs, plugin_kwargs, chatbot, history)
yield from ia.begin(llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)

2
toolbox.py
View File

@ -40,7 +40,6 @@ def ArgsGeneralWrapper(f):
"""
装饰器函数，用于重组输入参数，改变输入参数的顺序与结构。
"""
ENABLE_AUDIO, = get_conf('ENABLE_AUDIO')
def decorated(cookies, max_length, llm_model, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg, *args):
txt_passon = txt
if txt == "" and txt2 != "": txt_passon = txt2
@ -59,7 +58,6 @@ def ArgsGeneralWrapper(f):
plugin_kwargs = {
"advanced_arg": plugin_advanced_arg,
}
if ENABLE_AUDIO: plugin_kwargs.update({'audio': args[0]})
chatbot_with_cookie = ChatBotWithCookies(cookies)
chatbot_with_cookie.write_list(chatbot)
yield from f(txt_passon, llm_kwargs, plugin_kwargs, chatbot_with_cookie, history, system_prompt, *args)