Spaces:
Running
Running
Merge branch 'newbing' into v3.3
Browse files- config.py +5 -2
- request_llm/bridge_all.py +12 -1
- request_llm/bridge_newbing.py +608 -0
- request_llm/requirements_newbing.txt +8 -0
config.py
CHANGED
@@ -44,8 +44,8 @@ WEB_PORT = -1
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MAX_RETRY = 2
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# OpenAI模型选择是(gpt4现在只对申请成功的人开放,体验gpt-4可以试试api2d)
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-
LLM_MODEL = "
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-
AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm"]
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# 本地LLM模型如ChatGLM的执行方式 CPU/GPU
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LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
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@@ -63,3 +63,6 @@ API_URL_REDIRECT = {}
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# 如果需要在二级路径下运行(常规情况下,不要修改!!)(需要配合修改main.py才能生效!)
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CUSTOM_PATH = "/"
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MAX_RETRY = 2
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# OpenAI模型选择是(gpt4现在只对申请成功的人开放,体验gpt-4可以试试api2d)
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LLM_MODEL = "newbing" # 可选 ↓↓↓
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AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing"]
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# 本地LLM模型如ChatGLM的执行方式 CPU/GPU
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LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
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# 如果需要在二级路径下运行(常规情况下,不要修改!!)(需要配合修改main.py才能生效!)
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CUSTOM_PATH = "/"
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newbing_cookies = """your bing cookies here"""
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request_llm/bridge_all.py
CHANGED
@@ -19,6 +19,9 @@ from .bridge_chatgpt import predict as chatgpt_ui
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from .bridge_chatglm import predict_no_ui_long_connection as chatglm_noui
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from .bridge_chatglm import predict as chatglm_ui
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# from .bridge_tgui import predict_no_ui_long_connection as tgui_noui
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# from .bridge_tgui import predict as tgui_ui
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@@ -116,7 +119,15 @@ model_info = {
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"tokenizer": tokenizer_gpt35,
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"token_cnt": get_token_num_gpt35,
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},
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-
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}
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from .bridge_chatglm import predict_no_ui_long_connection as chatglm_noui
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from .bridge_chatglm import predict as chatglm_ui
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+
from .bridge_newbing import predict_no_ui_long_connection as newbing_noui
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from .bridge_newbing import predict as newbing_ui
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# from .bridge_tgui import predict_no_ui_long_connection as tgui_noui
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# from .bridge_tgui import predict as tgui_ui
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"tokenizer": tokenizer_gpt35,
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"token_cnt": get_token_num_gpt35,
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},
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# newbing
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"newbing": {
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"fn_with_ui": newbing_ui,
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"fn_without_ui": newbing_noui,
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"endpoint": None,
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"max_token": 4096,
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"tokenizer": tokenizer_gpt35,
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"token_cnt": get_token_num_gpt35,
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},
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}
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request_llm/bridge_newbing.py
ADDED
@@ -0,0 +1,608 @@
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1 |
+
"""
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2 |
+
Main.py
|
3 |
+
"""
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4 |
+
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5 |
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from transformers import AutoModel, AutoTokenizer
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6 |
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import time
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7 |
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import importlib
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8 |
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from toolbox import update_ui, get_conf
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9 |
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from multiprocessing import Process, Pipe
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10 |
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import argparse
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11 |
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import asyncio
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12 |
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import json
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13 |
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import os
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14 |
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import random
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15 |
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import re
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16 |
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import ssl
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17 |
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import sys
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18 |
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import uuid
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19 |
+
from enum import Enum
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20 |
+
from pathlib import Path
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21 |
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from typing import Generator
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22 |
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from typing import Literal
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23 |
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from typing import Optional
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24 |
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from typing import Union
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25 |
+
import certifi
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26 |
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import httpx
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27 |
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import websockets.client as websockets
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28 |
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from prompt_toolkit import PromptSession
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29 |
+
from prompt_toolkit.auto_suggest import AutoSuggestFromHistory
|
30 |
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from prompt_toolkit.completion import WordCompleter
|
31 |
+
from prompt_toolkit.history import InMemoryHistory
|
32 |
+
from prompt_toolkit.key_binding import KeyBindings
|
33 |
+
from rich.live import Live
|
34 |
+
from rich.markdown import Markdown
|
35 |
+
|
36 |
+
DELIMITER = "\x1e"
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37 |
+
|
38 |
+
|
39 |
+
# Generate random IP between range 13.104.0.0/14
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40 |
+
FORWARDED_IP = (
|
41 |
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f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
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42 |
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)
|
43 |
+
|
44 |
+
HEADERS = {
|
45 |
+
"accept": "application/json",
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46 |
+
"accept-language": "en-US,en;q=0.9",
|
47 |
+
"content-type": "application/json",
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48 |
+
"sec-ch-ua": '"Not_A Brand";v="99", "Microsoft Edge";v="110", "Chromium";v="110"',
|
49 |
+
"sec-ch-ua-arch": '"x86"',
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50 |
+
"sec-ch-ua-bitness": '"64"',
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51 |
+
"sec-ch-ua-full-version": '"109.0.1518.78"',
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52 |
+
"sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
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53 |
+
"sec-ch-ua-mobile": "?0",
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54 |
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"sec-ch-ua-model": "",
|
55 |
+
"sec-ch-ua-platform": '"Windows"',
|
56 |
+
"sec-ch-ua-platform-version": '"15.0.0"',
|
57 |
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"sec-fetch-dest": "empty",
|
58 |
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"sec-fetch-mode": "cors",
|
59 |
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"sec-fetch-site": "same-origin",
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60 |
+
"x-ms-client-request-id": str(uuid.uuid4()),
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61 |
+
"x-ms-useragent": "azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32",
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62 |
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"Referer": "https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx",
|
63 |
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"Referrer-Policy": "origin-when-cross-origin",
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64 |
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"x-forwarded-for": FORWARDED_IP,
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65 |
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}
|
66 |
+
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67 |
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HEADERS_INIT_CONVER = {
|
68 |
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"authority": "edgeservices.bing.com",
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69 |
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"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
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70 |
+
"accept-language": "en-US,en;q=0.9",
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71 |
+
"cache-control": "max-age=0",
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72 |
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"sec-ch-ua": '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
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73 |
+
"sec-ch-ua-arch": '"x86"',
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74 |
+
"sec-ch-ua-bitness": '"64"',
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75 |
+
"sec-ch-ua-full-version": '"110.0.1587.69"',
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76 |
+
"sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
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77 |
+
"sec-ch-ua-mobile": "?0",
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78 |
+
"sec-ch-ua-model": '""',
|
79 |
+
"sec-ch-ua-platform": '"Windows"',
|
80 |
+
"sec-ch-ua-platform-version": '"15.0.0"',
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81 |
+
"sec-fetch-dest": "document",
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82 |
+
"sec-fetch-mode": "navigate",
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83 |
+
"sec-fetch-site": "none",
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84 |
+
"sec-fetch-user": "?1",
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85 |
+
"upgrade-insecure-requests": "1",
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86 |
+
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69",
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87 |
+
"x-edge-shopping-flag": "1",
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88 |
+
"x-forwarded-for": FORWARDED_IP,
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89 |
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}
|
90 |
+
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91 |
+
ssl_context = ssl.create_default_context()
|
92 |
+
ssl_context.load_verify_locations(certifi.where())
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93 |
+
|
94 |
+
|
95 |
+
class NotAllowedToAccess(Exception):
|
96 |
+
pass
|
97 |
+
|
98 |
+
|
99 |
+
class ConversationStyle(Enum):
|
100 |
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creative = "h3imaginative,clgalileo,gencontentv3"
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101 |
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balanced = "galileo"
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102 |
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precise = "h3precise,clgalileo"
|
103 |
+
|
104 |
+
|
105 |
+
CONVERSATION_STYLE_TYPE = Optional[
|
106 |
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Union[ConversationStyle, Literal["creative", "balanced", "precise"]]
|
107 |
+
]
|
108 |
+
|
109 |
+
|
110 |
+
def _append_identifier(msg: dict) -> str:
|
111 |
+
"""
|
112 |
+
Appends special character to end of message to identify end of message
|
113 |
+
"""
|
114 |
+
# Convert dict to json string
|
115 |
+
return json.dumps(msg) + DELIMITER
|
116 |
+
|
117 |
+
|
118 |
+
def _get_ran_hex(length: int = 32) -> str:
|
119 |
+
"""
|
120 |
+
Returns random hex string
|
121 |
+
"""
|
122 |
+
return "".join(random.choice("0123456789abcdef") for _ in range(length))
|
123 |
+
|
124 |
+
|
125 |
+
class _ChatHubRequest:
|
126 |
+
"""
|
127 |
+
Request object for ChatHub
|
128 |
+
"""
|
129 |
+
|
130 |
+
def __init__(
|
131 |
+
self,
|
132 |
+
conversation_signature: str,
|
133 |
+
client_id: str,
|
134 |
+
conversation_id: str,
|
135 |
+
invocation_id: int = 0,
|
136 |
+
) -> None:
|
137 |
+
self.struct: dict = {}
|
138 |
+
|
139 |
+
self.client_id: str = client_id
|
140 |
+
self.conversation_id: str = conversation_id
|
141 |
+
self.conversation_signature: str = conversation_signature
|
142 |
+
self.invocation_id: int = invocation_id
|
143 |
+
|
144 |
+
def update(
|
145 |
+
self,
|
146 |
+
prompt: str,
|
147 |
+
conversation_style: CONVERSATION_STYLE_TYPE,
|
148 |
+
options: list | None = None,
|
149 |
+
) -> None:
|
150 |
+
"""
|
151 |
+
Updates request object
|
152 |
+
"""
|
153 |
+
if options is None:
|
154 |
+
options = [
|
155 |
+
"deepleo",
|
156 |
+
"enable_debug_commands",
|
157 |
+
"disable_emoji_spoken_text",
|
158 |
+
"enablemm",
|
159 |
+
]
|
160 |
+
if conversation_style:
|
161 |
+
if not isinstance(conversation_style, ConversationStyle):
|
162 |
+
conversation_style = getattr(ConversationStyle, conversation_style)
|
163 |
+
options = [
|
164 |
+
"nlu_direct_response_filter",
|
165 |
+
"deepleo",
|
166 |
+
"disable_emoji_spoken_text",
|
167 |
+
"responsible_ai_policy_235",
|
168 |
+
"enablemm",
|
169 |
+
conversation_style.value,
|
170 |
+
"dtappid",
|
171 |
+
"cricinfo",
|
172 |
+
"cricinfov2",
|
173 |
+
"dv3sugg",
|
174 |
+
]
|
175 |
+
self.struct = {
|
176 |
+
"arguments": [
|
177 |
+
{
|
178 |
+
"source": "cib",
|
179 |
+
"optionsSets": options,
|
180 |
+
"sliceIds": [
|
181 |
+
"222dtappid",
|
182 |
+
"225cricinfo",
|
183 |
+
"224locals0",
|
184 |
+
],
|
185 |
+
"traceId": _get_ran_hex(32),
|
186 |
+
"isStartOfSession": self.invocation_id == 0,
|
187 |
+
"message": {
|
188 |
+
"author": "user",
|
189 |
+
"inputMethod": "Keyboard",
|
190 |
+
"text": prompt,
|
191 |
+
"messageType": "Chat",
|
192 |
+
},
|
193 |
+
"conversationSignature": self.conversation_signature,
|
194 |
+
"participant": {
|
195 |
+
"id": self.client_id,
|
196 |
+
},
|
197 |
+
"conversationId": self.conversation_id,
|
198 |
+
},
|
199 |
+
],
|
200 |
+
"invocationId": str(self.invocation_id),
|
201 |
+
"target": "chat",
|
202 |
+
"type": 4,
|
203 |
+
}
|
204 |
+
self.invocation_id += 1
|
205 |
+
|
206 |
+
|
207 |
+
class _Conversation:
|
208 |
+
"""
|
209 |
+
Conversation API
|
210 |
+
"""
|
211 |
+
|
212 |
+
def __init__(
|
213 |
+
self,
|
214 |
+
cookies: dict,
|
215 |
+
proxy: str | None = None,
|
216 |
+
) -> None:
|
217 |
+
self.struct: dict = {
|
218 |
+
"conversationId": None,
|
219 |
+
"clientId": None,
|
220 |
+
"conversationSignature": None,
|
221 |
+
"result": {"value": "Success", "message": None},
|
222 |
+
}
|
223 |
+
self.proxy = proxy
|
224 |
+
proxy = (
|
225 |
+
proxy
|
226 |
+
or os.environ.get("all_proxy")
|
227 |
+
or os.environ.get("ALL_PROXY")
|
228 |
+
or os.environ.get("https_proxy")
|
229 |
+
or os.environ.get("HTTPS_PROXY")
|
230 |
+
or None
|
231 |
+
)
|
232 |
+
if proxy is not None and proxy.startswith("socks5h://"):
|
233 |
+
proxy = "socks5://" + proxy[len("socks5h://") :]
|
234 |
+
self.session = httpx.Client(
|
235 |
+
proxies=proxy,
|
236 |
+
timeout=30,
|
237 |
+
headers=HEADERS_INIT_CONVER,
|
238 |
+
)
|
239 |
+
for cookie in cookies:
|
240 |
+
self.session.cookies.set(cookie["name"], cookie["value"])
|
241 |
+
|
242 |
+
# Send GET request
|
243 |
+
response = self.session.get(
|
244 |
+
url=os.environ.get("BING_PROXY_URL")
|
245 |
+
or "https://edgeservices.bing.com/edgesvc/turing/conversation/create",
|
246 |
+
)
|
247 |
+
if response.status_code != 200:
|
248 |
+
response = self.session.get(
|
249 |
+
"https://edge.churchless.tech/edgesvc/turing/conversation/create",
|
250 |
+
)
|
251 |
+
if response.status_code != 200:
|
252 |
+
print(f"Status code: {response.status_code}")
|
253 |
+
print(response.text)
|
254 |
+
print(response.url)
|
255 |
+
raise Exception("Authentication failed")
|
256 |
+
try:
|
257 |
+
self.struct = response.json()
|
258 |
+
except (json.decoder.JSONDecodeError, NotAllowedToAccess) as exc:
|
259 |
+
raise Exception(
|
260 |
+
"Authentication failed. You have not been accepted into the beta.",
|
261 |
+
) from exc
|
262 |
+
if self.struct["result"]["value"] == "UnauthorizedRequest":
|
263 |
+
raise NotAllowedToAccess(self.struct["result"]["message"])
|
264 |
+
|
265 |
+
|
266 |
+
class _ChatHub:
|
267 |
+
"""
|
268 |
+
Chat API
|
269 |
+
"""
|
270 |
+
|
271 |
+
def __init__(self, conversation: _Conversation) -> None:
|
272 |
+
self.wss: websockets.WebSocketClientProtocol | None = None
|
273 |
+
self.request: _ChatHubRequest
|
274 |
+
self.loop: bool
|
275 |
+
self.task: asyncio.Task
|
276 |
+
self.request = _ChatHubRequest(
|
277 |
+
conversation_signature=conversation.struct["conversationSignature"],
|
278 |
+
client_id=conversation.struct["clientId"],
|
279 |
+
conversation_id=conversation.struct["conversationId"],
|
280 |
+
)
|
281 |
+
|
282 |
+
async def ask_stream(
|
283 |
+
self,
|
284 |
+
prompt: str,
|
285 |
+
wss_link: str,
|
286 |
+
conversation_style: CONVERSATION_STYLE_TYPE = None,
|
287 |
+
raw: bool = False,
|
288 |
+
options: dict = None,
|
289 |
+
) -> Generator[str, None, None]:
|
290 |
+
"""
|
291 |
+
Ask a question to the bot
|
292 |
+
"""
|
293 |
+
if self.wss and not self.wss.closed:
|
294 |
+
await self.wss.close()
|
295 |
+
# Check if websocket is closed
|
296 |
+
self.wss = await websockets.connect(
|
297 |
+
wss_link,
|
298 |
+
extra_headers=HEADERS,
|
299 |
+
max_size=None,
|
300 |
+
ssl=ssl_context,
|
301 |
+
)
|
302 |
+
await self._initial_handshake()
|
303 |
+
# Construct a ChatHub request
|
304 |
+
self.request.update(
|
305 |
+
prompt=prompt,
|
306 |
+
conversation_style=conversation_style,
|
307 |
+
options=options,
|
308 |
+
)
|
309 |
+
# Send request
|
310 |
+
await self.wss.send(_append_identifier(self.request.struct))
|
311 |
+
final = False
|
312 |
+
while not final:
|
313 |
+
objects = str(await self.wss.recv()).split(DELIMITER)
|
314 |
+
for obj in objects:
|
315 |
+
if obj is None or not obj:
|
316 |
+
continue
|
317 |
+
response = json.loads(obj)
|
318 |
+
if response.get("type") != 2 and raw:
|
319 |
+
yield False, response
|
320 |
+
elif response.get("type") == 1 and response["arguments"][0].get(
|
321 |
+
"messages",
|
322 |
+
):
|
323 |
+
resp_txt = response["arguments"][0]["messages"][0]["adaptiveCards"][
|
324 |
+
0
|
325 |
+
]["body"][0].get("text")
|
326 |
+
yield False, resp_txt
|
327 |
+
elif response.get("type") == 2:
|
328 |
+
final = True
|
329 |
+
yield True, response
|
330 |
+
|
331 |
+
async def _initial_handshake(self) -> None:
|
332 |
+
await self.wss.send(_append_identifier({"protocol": "json", "version": 1}))
|
333 |
+
await self.wss.recv()
|
334 |
+
|
335 |
+
async def close(self) -> None:
|
336 |
+
"""
|
337 |
+
Close the connection
|
338 |
+
"""
|
339 |
+
if self.wss and not self.wss.closed:
|
340 |
+
await self.wss.close()
|
341 |
+
|
342 |
+
|
343 |
+
class Chatbot:
|
344 |
+
"""
|
345 |
+
Combines everything to make it seamless
|
346 |
+
"""
|
347 |
+
|
348 |
+
def __init__(
|
349 |
+
self,
|
350 |
+
cookies: dict = None,
|
351 |
+
proxy: str | None = None,
|
352 |
+
cookie_path: str = None,
|
353 |
+
) -> None:
|
354 |
+
if cookies is None:
|
355 |
+
cookies = {}
|
356 |
+
if cookie_path is not None:
|
357 |
+
try:
|
358 |
+
with open(cookie_path, encoding="utf-8") as f:
|
359 |
+
self.cookies = json.load(f)
|
360 |
+
except FileNotFoundError as exc:
|
361 |
+
raise FileNotFoundError("Cookie file not found") from exc
|
362 |
+
else:
|
363 |
+
self.cookies = cookies
|
364 |
+
self.proxy: str | None = proxy
|
365 |
+
self.chat_hub: _ChatHub = _ChatHub(
|
366 |
+
_Conversation(self.cookies, self.proxy),
|
367 |
+
)
|
368 |
+
|
369 |
+
async def ask(
|
370 |
+
self,
|
371 |
+
prompt: str,
|
372 |
+
wss_link: str = "wss://sydney.bing.com/sydney/ChatHub",
|
373 |
+
conversation_style: CONVERSATION_STYLE_TYPE = None,
|
374 |
+
options: dict = None,
|
375 |
+
) -> dict:
|
376 |
+
"""
|
377 |
+
Ask a question to the bot
|
378 |
+
"""
|
379 |
+
async for final, response in self.chat_hub.ask_stream(
|
380 |
+
prompt=prompt,
|
381 |
+
conversation_style=conversation_style,
|
382 |
+
wss_link=wss_link,
|
383 |
+
options=options,
|
384 |
+
):
|
385 |
+
if final:
|
386 |
+
return response
|
387 |
+
await self.chat_hub.wss.close()
|
388 |
+
return None
|
389 |
+
|
390 |
+
async def ask_stream(
|
391 |
+
self,
|
392 |
+
prompt: str,
|
393 |
+
wss_link: str = "wss://sydney.bing.com/sydney/ChatHub",
|
394 |
+
conversation_style: CONVERSATION_STYLE_TYPE = None,
|
395 |
+
raw: bool = False,
|
396 |
+
options: dict = None,
|
397 |
+
) -> Generator[str, None, None]:
|
398 |
+
"""
|
399 |
+
Ask a question to the bot
|
400 |
+
"""
|
401 |
+
async for response in self.chat_hub.ask_stream(
|
402 |
+
prompt=prompt,
|
403 |
+
conversation_style=conversation_style,
|
404 |
+
wss_link=wss_link,
|
405 |
+
raw=raw,
|
406 |
+
options=options,
|
407 |
+
):
|
408 |
+
yield response
|
409 |
+
|
410 |
+
async def close(self) -> None:
|
411 |
+
"""
|
412 |
+
Close the connection
|
413 |
+
"""
|
414 |
+
await self.chat_hub.close()
|
415 |
+
|
416 |
+
async def reset(self) -> None:
|
417 |
+
"""
|
418 |
+
Reset the conversation
|
419 |
+
"""
|
420 |
+
await self.close()
|
421 |
+
self.chat_hub = _ChatHub(_Conversation(self.cookies))
|
422 |
+
|
423 |
+
|
424 |
+
async def _get_input_async(
|
425 |
+
session: PromptSession = None,
|
426 |
+
completer: WordCompleter = None,
|
427 |
+
) -> str:
|
428 |
+
"""
|
429 |
+
Multiline input function.
|
430 |
+
"""
|
431 |
+
return await session.prompt_async(
|
432 |
+
completer=completer,
|
433 |
+
multiline=True,
|
434 |
+
auto_suggest=AutoSuggestFromHistory(),
|
435 |
+
)
|
436 |
+
|
437 |
+
|
438 |
+
def _create_session() -> PromptSession:
|
439 |
+
kb = KeyBindings()
|
440 |
+
|
441 |
+
@kb.add("enter")
|
442 |
+
def _(event):
|
443 |
+
buffer_text = event.current_buffer.text
|
444 |
+
if buffer_text.startswith("!"):
|
445 |
+
event.current_buffer.validate_and_handle()
|
446 |
+
else:
|
447 |
+
event.current_buffer.insert_text("\n")
|
448 |
+
|
449 |
+
@kb.add("escape")
|
450 |
+
def _(event):
|
451 |
+
if event.current_buffer.complete_state:
|
452 |
+
# event.current_buffer.cancel_completion()
|
453 |
+
event.current_buffer.text = ""
|
454 |
+
|
455 |
+
return PromptSession(key_bindings=kb, history=InMemoryHistory())
|
456 |
+
|
457 |
+
|
458 |
+
def _create_completer(commands: list, pattern_str: str = "$"):
|
459 |
+
return WordCompleter(words=commands, pattern=re.compile(pattern_str))
|
460 |
+
|
461 |
+
|
462 |
+
load_message = ""
|
463 |
+
|
464 |
+
#################################################################################
|
465 |
+
#################################################################################
|
466 |
+
#################################################################################
|
467 |
+
#################################################################################
|
468 |
+
#################################################################################
|
469 |
+
#################################################################################
|
470 |
+
class GetNewBingHandle(Process):
|
471 |
+
def __init__(self):
|
472 |
+
super().__init__(daemon=True)
|
473 |
+
self.parent, self.child = Pipe()
|
474 |
+
self.chatglm_model = None
|
475 |
+
self.chatglm_tokenizer = None
|
476 |
+
self.info = ""
|
477 |
+
self.success = True
|
478 |
+
self.check_dependency()
|
479 |
+
self.start()
|
480 |
+
|
481 |
+
def check_dependency(self):
|
482 |
+
try:
|
483 |
+
import rich
|
484 |
+
self.info = "依赖检测通过"
|
485 |
+
self.success = True
|
486 |
+
except:
|
487 |
+
self.info = "缺少的依赖,如果要使用Newbing,除了基础的pip依赖以外,您还需要运行`pip install -r request_llm/requirements_newbing.txt`安装Newbing的依赖。"
|
488 |
+
self.success = False
|
489 |
+
|
490 |
+
def ready(self):
|
491 |
+
return self.chatglm_model is not None
|
492 |
+
|
493 |
+
async def async_run(self, question):
|
494 |
+
async for final, response in self.chatglm_model.ask_stream(
|
495 |
+
prompt=question,
|
496 |
+
conversation_style="balanced", # ["creative", "balanced", "precise"]
|
497 |
+
wss_link="wss://sydney.bing.com/sydney/ChatHub", # "wss://sydney.bing.com/sydney/ChatHub"
|
498 |
+
):
|
499 |
+
if not final:
|
500 |
+
self.child.send(response)
|
501 |
+
print(response)
|
502 |
+
|
503 |
+
def run(self):
|
504 |
+
# 第一次运行,加载参数
|
505 |
+
retry = 0
|
506 |
+
while True:
|
507 |
+
try:
|
508 |
+
if self.chatglm_model is None:
|
509 |
+
proxies, = get_conf('proxies')
|
510 |
+
newbing_cookies, = get_conf('newbing_cookies')
|
511 |
+
cookies = json.loads(newbing_cookies)
|
512 |
+
self.chatglm_model = Chatbot(proxy=proxies['https'], cookies=cookies)
|
513 |
+
break
|
514 |
+
else:
|
515 |
+
break
|
516 |
+
except:
|
517 |
+
retry += 1
|
518 |
+
if retry > 3:
|
519 |
+
self.child.send('[Local Message] 不能加载Newbing组件。')
|
520 |
+
raise RuntimeError("不能加载Newbing组件。")
|
521 |
+
|
522 |
+
# 进入任务等待状态
|
523 |
+
while True:
|
524 |
+
kwargs = self.child.recv()
|
525 |
+
try:
|
526 |
+
asyncio.run(self.async_run(question=kwargs['query']))
|
527 |
+
except:
|
528 |
+
self.child.send('[Local Message] Newbing失败.')
|
529 |
+
self.child.send('[Finish]')
|
530 |
+
|
531 |
+
def stream_chat(self, **kwargs):
|
532 |
+
self.parent.send(kwargs)
|
533 |
+
while True:
|
534 |
+
res = self.parent.recv()
|
535 |
+
if res != '[Finish]':
|
536 |
+
yield res
|
537 |
+
else:
|
538 |
+
break
|
539 |
+
return
|
540 |
+
|
541 |
+
global glm_handle
|
542 |
+
glm_handle = None
|
543 |
+
#################################################################################
|
544 |
+
def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
|
545 |
+
"""
|
546 |
+
多线程方法
|
547 |
+
函数的说明请见 request_llm/bridge_all.py
|
548 |
+
"""
|
549 |
+
global glm_handle
|
550 |
+
if glm_handle is None:
|
551 |
+
glm_handle = GetNewBingHandle()
|
552 |
+
observe_window[0] = load_message + "\n\n" + glm_handle.info
|
553 |
+
if not glm_handle.success:
|
554 |
+
error = glm_handle.info
|
555 |
+
glm_handle = None
|
556 |
+
raise RuntimeError(error)
|
557 |
+
|
558 |
+
# chatglm 没有 sys_prompt 接口,因此把prompt加入 history
|
559 |
+
history_feedin = []
|
560 |
+
history_feedin.append(["What can I do?", sys_prompt])
|
561 |
+
for i in range(len(history)//2):
|
562 |
+
history_feedin.append([history[2*i], history[2*i+1]] )
|
563 |
+
|
564 |
+
watch_dog_patience = 5 # 看门狗 (watchdog) 的耐心, 设置5秒即可
|
565 |
+
response = ""
|
566 |
+
for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
|
567 |
+
observe_window[0] = response
|
568 |
+
if len(observe_window) >= 2:
|
569 |
+
if (time.time()-observe_window[1]) > watch_dog_patience:
|
570 |
+
raise RuntimeError("程序终止。")
|
571 |
+
return response
|
572 |
+
|
573 |
+
|
574 |
+
|
575 |
+
def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
|
576 |
+
"""
|
577 |
+
单线程方法
|
578 |
+
函数的说明请见 request_llm/bridge_all.py
|
579 |
+
"""
|
580 |
+
chatbot.append((inputs, ""))
|
581 |
+
|
582 |
+
global glm_handle
|
583 |
+
if glm_handle is None:
|
584 |
+
glm_handle = GetNewBingHandle()
|
585 |
+
chatbot[-1] = (inputs, load_message + "\n\n" + glm_handle.info)
|
586 |
+
yield from update_ui(chatbot=chatbot, history=[])
|
587 |
+
if not glm_handle.success:
|
588 |
+
glm_handle = None
|
589 |
+
return
|
590 |
+
|
591 |
+
if additional_fn is not None:
|
592 |
+
import core_functional
|
593 |
+
importlib.reload(core_functional) # 热更新prompt
|
594 |
+
core_functional = core_functional.get_core_functions()
|
595 |
+
if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs) # 获取预处理函数(如果有的话)
|
596 |
+
inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
|
597 |
+
|
598 |
+
history_feedin = []
|
599 |
+
history_feedin.append(["What can I do?", system_prompt] )
|
600 |
+
for i in range(len(history)//2):
|
601 |
+
history_feedin.append([history[2*i], history[2*i+1]] )
|
602 |
+
|
603 |
+
for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
|
604 |
+
chatbot[-1] = (inputs, response)
|
605 |
+
yield from update_ui(chatbot=chatbot, history=history)
|
606 |
+
|
607 |
+
history.extend([inputs, response])
|
608 |
+
yield from update_ui(chatbot=chatbot, history=history)
|
request_llm/requirements_newbing.txt
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
BingImageCreator
|
2 |
+
certifi
|
3 |
+
httpx
|
4 |
+
prompt_toolkit
|
5 |
+
requests
|
6 |
+
rich
|
7 |
+
websockets
|
8 |
+
httpx[socks]
|