File size: 9,499 Bytes
f7161fa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
# -*- coding:utf-8 -*-

import locale
import os

import commentjson as json
import gradio as gr
from config.config import config

pwd_path = os.path.abspath(os.path.dirname(__file__))


class I18nAuto:
    def __init__(self):
        language = os.environ.get("LANGUAGE", "auto")
        if language == "auto":
            language = locale.getdefaultlocale()[0]  # get the language code of the system (e.g. zh_CN)
        self.language_map = {}
        file_path = os.path.join(pwd_path, f'../locale/{language}.json')
        self.file_is_exists = os.path.isfile(file_path)
        if self.file_is_exists:
            with open(file_path, "r", encoding="utf-8") as f:
                self.language_map.update(json.load(f))

    def __call__(self, key):
        if self.file_is_exists and key in self.language_map:
            return self.language_map[key]
        else:
            return key


i18n = I18nAuto()  # internationalization

# ChatGPT 设置
# INITIAL_SYSTEM_PROMPT = "You are a helpful assistant."
POETRY_THEME_INFO = """静夜思
唐·李白
床前明月光,疑是地上霜。
举头望明月,低头思故乡。"""
# INITIAL_SYSTEM_PROMPT = config.default_system_prompt
INITIAL_SYSTEM_PROMPT = config.child_system_prompt
CHILD_SYSTEM_PROMPT = config.child_system_prompt
STUDENT_SYSTEM_PROMPT = config.student_system_prompt

API_HOST = "api.openai.com"
OPENAI_API_BASE = "https://api.openai.com/v1"
CHAT_COMPLETION_URL = "https://api.openai.com/v1/chat/completions"
IMAGES_COMPLETION_URL = "https://api.openai.com/v1/images/generations"
COMPLETION_URL = "https://api.openai.com/v1/completions"
BALANCE_API_URL = "https://api.openai.com/dashboard/billing/credit_grants"
USAGE_API_URL = "https://api.openai.com/dashboard/billing/usage"
HISTORY_DIR = os.path.join(pwd_path, '../history')
TEMPLATES_DIR = os.path.join(pwd_path, '../templates')

# assert文件
chuanhu_path = os.path.dirname(pwd_path)
assets_path = os.path.join(pwd_path, "../assets")
favicon_path = os.path.join(pwd_path, "../assets/favicon.ico")

# 错误信息
STANDARD_ERROR_MSG = i18n("☹️发生了错误:")  # 错误信息的标准前缀
GENERAL_ERROR_MSG = i18n("获取对话时发生错误,请重试")
GENERATE_ERROR_MSG = i18n("生成时发生错误,请重试")
ERROR_RETRIEVE_MSG = i18n("请检查网络连接,或者API-Key是否有效。")
CONNECTION_TIMEOUT_MSG = i18n("连接超时,无法获取对话。")  # 连接超时
READ_TIMEOUT_MSG = i18n("读取超时,无法获取对话。")  # 读取超时
PROXY_ERROR_MSG = i18n("代理错误,无法获取对话。")  # 代理错误
SSL_ERROR_PROMPT = i18n("SSL错误,无法获取对话。")  # SSL 错误
NO_APIKEY_MSG = i18n("API key为空,请检查是否输入正确。")  # API key 长度不足 51 位
NO_INPUT_MSG = i18n("请输入对话内容。")  # 未输入对话内容
BILLING_NOT_APPLICABLE_MSG = i18n("账单信息不适用")  # 本地运行的模型返回的账单信息

TIMEOUT_STREAMING = 60  # 流式对话时的超时时间
TIMEOUT_ALL = 120  # 非流式对话时的超时时间
ENABLE_STREAMING_OPTION = True  # 是否启用选择选择是否实时显示回答的勾选框
HIDE_MY_KEY = True  # 如果你想在UI中隐藏你的 API 密钥,将此值设置为 True
CONCURRENT_COUNT = 100  # 允许同时使用的用户数量

SIM_K = 5
INDEX_QUERY_TEMPRATURE = 1.0

TITLE = i18n("PoetryChat 📝")

DESCRIPTION = i18n("GitHub: [Antony-Zhang/PoetryChat](https://github.com/Antony-Zhang/PoetryChat)")

ONLINE_MODELS = [
    "gpt-3.5-turbo",
    "gpt-3.5-turbo-16k",
    "gpt-3.5-turbo-1106",
    "gpt-4",
    "gpt-4-32k",
    "gpt-4-1106-preview",
    "gpt-4-turbo-preview",
    "gpt-4-vision-preview",

    # zhipuai chatglm 
    "glm-3-turbo",
    "glm4"

]

# 定义实际模型名称和别名的字典
MODEL_ALIASES = {
    # "gpt-3.5-turbo": "AppBuilder-SDK",
    "gpt-3.5-turbo": "gpt-3.5-turbo",
    "gpt-3.5-turbo-16k": "gpt-3.5-turbo-16k",
    "gpt-3.5-turbo-1106": "gpt-3.5-turbo-1106",
    "gpt-4": "gpt-4",
    "gpt-4-32k": "gpt-4-32k",
    "gpt-4-1106-preview": "gpt-4-1106-preview",
    "gpt-4-turbo-preview": "gpt-4-turbo-preview",
    "gpt-4-vision-preview": "gpt-4-vision-preview",
}

MODEL_TOKEN_LIMIT = {
    "gpt-3.5-turbo": 4096,
    "gpt-3.5-turbo-16k": 16384,
    "gpt-3.5-turbo-1106": 16384,
    "gpt-4": 8192,
    "gpt-4-32k": 32768,
    "gpt-4-1106-preview": 128000,
    "gpt-4-turbo-preview": 128000,
    "gpt-4-vision-preview": 128000,
}

LOCAL_MODELS = {
    "chatglm3-6b": "THUDM/chatglm3-6b",
    "llama-2-7b-chat": "TheBloke/Llama-2-7B-Chat-GPTQ",
    "yi-6b-chat-8bits": "01-ai/Yi-6B-Chat-8bits",
    "yi-6b-chat": "01-ai/Yi-6B-Chat",
}

MODELS = ONLINE_MODELS + list(LOCAL_MODELS.keys())
DEFAULT_MODEL = 0

os.makedirs(HISTORY_DIR, exist_ok=True)

TOKEN_OFFSET = 1000  # 模型的token上限减去这个值,得到软上限。到达软上限之后,自动尝试减少token占用。
DEFAULT_TOKEN_LIMIT = 3000  # 默认的token上限
REDUCE_TOKEN_FACTOR = 0.5  # 与模型token上限想乘,得到目标token数。减少token占用时,将token占用减少到目标token数以下。

REPLY_LANGUAGES = [
    "简体中文",
    "繁體中文",
    "English",
    "日本語",
    "Español",
    "Français",
    "Deutsch",
    "跟随问题语言(不稳定)"
]

HISTORY_NAME_METHODS = [
    i18n("根据日期时间"),
    i18n("第一条提问"),
    i18n("模型自动总结(消耗tokens)"),
]
WEBSEARCH_PTOMPT_TEMPLATE = """\
Web search results:

{web_results}
Current date: {current_date}

Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [citation:x] notation after the reference, where x is a number. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: {query}
Reply in {reply_language}
"""

PROMPT_TEMPLATE = """\
Context information is below.
---------------------
{context_str}
---------------------
Current date: {current_date}.
Using the provided context information, write a comprehensive reply to the given query.
Make sure to cite results using [number] notation after the reference.
If the provided context information refer to multiple subjects with the same name, write separate answers for each subject.
Use prior knowledge only if the given context didn't provide enough information.
Answer the question: {query_str}
Reply in {reply_language}
"""

REFINE_TEMPLATE = """\
The original question is as follows: {query_str}
We have provided an existing answer: {existing_answer}
We have the opportunity to refine the existing answer
(only if needed) with some more context below.
------------
{context_msg}
------------
Given the new context, refine the original answer to better
Reply in {reply_language}
If the context isn't useful, return the original answer.
"""

SUMMARIZE_PROMPT = """Write a concise summary of the following:

{text}

CONCISE SUMMARY IN 中文:"""

SUMMARY_CHAT_SYSTEM_PROMPT = """\
Please summarize the following conversation for a chat topic.
No more than 16 characters.
No special characters.
Punctuation mark is banned.
Not including '.' ':' '?' '!' '“' '*' '<' '>'.
Reply in user's language.
"""

ALREADY_CONVERTED_MARK = "<!-- ALREADY CONVERTED BY PARSER. -->"
START_OF_OUTPUT_MARK = "<!-- SOO IN MESSAGE -->"
END_OF_OUTPUT_MARK = "<!-- EOO IN MESSAGE -->"

small_and_beautiful_theme = gr.themes.Soft(
    primary_hue=gr.themes.Color(
        c50="#EBFAF2",
        c100="#CFF3E1",
        c200="#A8EAC8",
        c300="#77DEA9",
        c400="#3FD086",
        c500="#02C160",
        c600="#06AE56",
        c700="#05974E",
        c800="#057F45",
        c900="#04673D",
        c950="#2E5541",
        name="small_and_beautiful",
    ),
    secondary_hue=gr.themes.Color(
        c50="#576b95",
        c100="#576b95",
        c200="#576b95",
        c300="#576b95",
        c400="#576b95",
        c500="#576b95",
        c600="#576b95",
        c700="#576b95",
        c800="#576b95",
        c900="#576b95",
        c950="#576b95",
    ),
    neutral_hue=gr.themes.Color(
        name="gray",
        c50="#f6f7f8",
        # c100="#f3f4f6",
        c100="#F2F2F2",
        c200="#e5e7eb",
        c300="#d1d5db",
        c400="#B2B2B2",
        c500="#808080",
        c600="#636363",
        c700="#515151",
        c800="#393939",
        # c900="#272727",
        c900="#2B2B2B",
        c950="#171717",
    ),
    radius_size=gr.themes.sizes.radius_sm,
).set(
    # button_primary_background_fill="*primary_500",
    button_primary_background_fill_dark="*primary_600",
    # button_primary_background_fill_hover="*primary_400",
    # button_primary_border_color="*primary_500",
    button_primary_border_color_dark="*primary_600",
    button_primary_text_color="wihte",
    button_primary_text_color_dark="white",
    button_secondary_background_fill="*neutral_100",
    button_secondary_background_fill_hover="*neutral_50",
    button_secondary_background_fill_dark="*neutral_900",
    button_secondary_text_color="*neutral_800",
    button_secondary_text_color_dark="white",
    # background_fill_primary="#F7F7F7",
    # background_fill_primary_dark="#1F1F1F",
    # block_title_text_color="*primary_500",
    block_title_background_fill_dark="*primary_900",
    block_label_background_fill_dark="*primary_900",
    input_background_fill="#F6F6F6",
    # chatbot_code_background_color="*neutral_950",
    chatbot_code_background_color_dark="*neutral_950",
)