镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-08 23:46:48 +00:00
Merge branch 'frontier' of https://github.com/binary-husky/chatgpt_academic into frontier
这个提交包含在:
@@ -5,7 +5,7 @@ import logging
|
||||
|
||||
def input_clipping(inputs, history, max_token_limit):
|
||||
import numpy as np
|
||||
from request_llm.bridge_all import model_info
|
||||
from request_llms.bridge_all import model_info
|
||||
enc = model_info["gpt-3.5-turbo"]['tokenizer']
|
||||
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
|
||||
|
||||
@@ -63,7 +63,7 @@ def request_gpt_model_in_new_thread_with_ui_alive(
|
||||
"""
|
||||
import time
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
from request_llms.bridge_all import predict_no_ui_long_connection
|
||||
# 用户反馈
|
||||
chatbot.append([inputs_show_user, ""])
|
||||
yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面
|
||||
@@ -177,11 +177,11 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
|
||||
"""
|
||||
import time, random
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
from request_llm.bridge_all import predict_no_ui_long_connection
|
||||
from request_llms.bridge_all import predict_no_ui_long_connection
|
||||
assert len(inputs_array) == len(history_array)
|
||||
assert len(inputs_array) == len(sys_prompt_array)
|
||||
if max_workers == -1: # 读取配置文件
|
||||
try: max_workers, = get_conf('DEFAULT_WORKER_NUM')
|
||||
try: max_workers = get_conf('DEFAULT_WORKER_NUM')
|
||||
except: max_workers = 8
|
||||
if max_workers <= 0: max_workers = 3
|
||||
# 屏蔽掉 chatglm的多线程,可能会导致严重卡顿
|
||||
@@ -603,7 +603,7 @@ def get_files_from_everything(txt, type): # type='.md'
|
||||
import requests
|
||||
from toolbox import get_conf
|
||||
from toolbox import get_log_folder, gen_time_str
|
||||
proxies, = get_conf('proxies')
|
||||
proxies = get_conf('proxies')
|
||||
try:
|
||||
r = requests.get(txt, proxies=proxies)
|
||||
except:
|
||||
|
||||
在新工单中引用
屏蔽一个用户