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version3.5
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version3.5
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2f83b60fb3 | ||
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12c8cd75ee | ||
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0e21e3e2e7 | ||
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fda1e87278 | ||
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1092031d77 |
25
.github/workflows/stale.yml
vendored
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25
.github/workflows/stale.yml
vendored
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@@ -0,0 +1,25 @@
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# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
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#
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# You can adjust the behavior by modifying this file.
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# For more information, see:
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# https://github.com/actions/stale
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name: 'Close stale issues and PRs'
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on:
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schedule:
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- cron: '*/5 * * * *'
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jobs:
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stale:
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runs-on: ubuntu-latest
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permissions:
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issues: write
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pull-requests: read
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steps:
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- uses: actions/stale@v8
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with:
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stale-issue-message: 'This issue is stale because it has been open 100 days with no activity. Remove stale label or comment or this will be closed in 1 days.'
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days-before-stale: 100
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days-before-close: 1
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debug-only: true
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@@ -75,7 +75,11 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
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proxies, = get_conf('proxies')
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urls = google(txt, proxies)
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history = []
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if len(urls) == 0:
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chatbot.append((f"结论:{txt}",
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"[Local Message] 受到google限制,无法从google获取信息!"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
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return
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# ------------- < 第2步:依次访问网页 > -------------
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max_search_result = 5 # 最多收纳多少个网页的结果
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for index, url in enumerate(urls[:max_search_result]):
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@@ -75,7 +75,11 @@ def 连接bing搜索回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, histor
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proxies, = get_conf('proxies')
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urls = bing_search(txt, proxies)
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history = []
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if len(urls) == 0:
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chatbot.append((f"结论:{txt}",
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"[Local Message] 受到bing限制,无法从bing获取信息!"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
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return
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# ------------- < 第2步:依次访问网页 > -------------
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max_search_result = 8 # 最多收纳多少个网页的结果
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for index, url in enumerate(urls[:max_search_result]):
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@@ -2,11 +2,17 @@
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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
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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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@@ -15,6 +21,9 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="",
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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):
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@@ -32,6 +41,10 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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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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@@ -58,7 +58,7 @@ class Ws_Param(object):
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class SparkRequestInstance():
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def __init__(self):
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XFYUN_APPID, XFYUN_API_SECRET, XFYUN_API_KEY = get_conf('XFYUN_APPID', 'XFYUN_API_SECRET', 'XFYUN_API_KEY')
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if XFYUN_APPID == '00000000' or XFYUN_APPID == '': 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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self.appid = XFYUN_APPID
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self.api_secret = XFYUN_API_SECRET
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self.api_key = XFYUN_API_KEY
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Reference in New Issue
Block a user