doc:update document

This commit is contained in:
aries_ckt 2023-11-03 15:45:45 +08:00
parent 0874fa2526
commit 3111760c82
10 changed files with 451 additions and 395 deletions

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@ -4,6 +4,12 @@ ChatData generates SQL from natural language and executes it. ChatDB involves co
Database, including metadata about databases, tables, and
fields.![db plugins demonstration](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/d8bfeee9-e982-465e-a2b8-1164b673847e)
```{admonition} The LLM (Language Model) suitable for the ChatData scene is
* chatgpt3.5.
* chatgpt4.
* Vicuna-v1.5.
```
### 1.Choose Datasource
If you are using DB-GPT for the first time, you need to add a data source and set the relevant connection information

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@ -3,6 +3,11 @@ ChatExcel
![db plugins demonstration](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/4113ac15-83c2-4350-86c0-5fc795677abd)
ChatExcel uses natural language to analyze and query Excel data.![db plugins demonstration](../../../../assets/chat_excel/chat_excel_1.png)
```{admonition} The LLM (Language Model) suitable for the ChatExcel scene is
* chatgpt3.5.
* chatgpt4.
```
### 1.Select And Upload Excel or CSV File
Select your excel or csv file to upload and start the conversation.
```{tip}

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@ -4,6 +4,11 @@ The purpose of the DB-GPT Dashboard is to empower data analysts with efficiency.
technology, allowing business analysts to perform self-service analysis directly using natural language and gain
insights into their respective areas of business.
```{admonition} The LLM (Language Model) suitable for the Dashboard scene is
* chatgpt3.5.
* chatgpt4.
```
```{note} Dashboard now support Datasource Type
* Mysql
* Sqlite

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-09-26 17:51+0800\n"
"POT-Creation-Date: 2023-11-03 15:25+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -20,12 +20,12 @@ msgstr ""
"Generated-By: Babel 2.12.1\n"
#: ../../getting_started/application/chatdb/chatdb.md:1
#: 0cf45852c1fd430090da81836bc961c7
#: c1489293ce464cee9577b0aa9a3f3037
msgid "ChatData & ChatDB"
msgstr "ChatData & ChatDB"
#: ../../getting_started/application/chatdb/chatdb.md:3
#: 6dc94a787ff844caa21074d71aaf351a
#: 2c421938f270427dbd0ffff892b1a5a1
#, fuzzy
msgid ""
"ChatData generates SQL from natural language and executes it. ChatDB "
@ -38,47 +38,56 @@ msgstr ""
"plugins demonstration](../../../../assets/chat_data/chat_data.jpg)"
#: ../../getting_started/application/chatdb/chatdb.md:3
#: ../../getting_started/application/chatdb/chatdb.md:20
#: ../../getting_started/application/chatdb/chatdb.md:24
#: ../../getting_started/application/chatdb/chatdb.md:28
#: ../../getting_started/application/chatdb/chatdb.md:43
#: ../../getting_started/application/chatdb/chatdb.md:48
#: ../../getting_started/application/chatdb/chatdb.md:54
#: 826032e82a0a40b2bd122a90a35d0161 91652ef9e3224290b0c89112bcca4474
#: d396ffa33eef4bef8471040369414420 d7f176a7794048d3ac3573970db86d9d
#: f80e5611eca64f86baeeed6c860061f9
#: ../../getting_started/application/chatdb/chatdb.md:27
#: ../../getting_started/application/chatdb/chatdb.md:31
#: ../../getting_started/application/chatdb/chatdb.md:35
#: ../../getting_started/application/chatdb/chatdb.md:50
#: ../../getting_started/application/chatdb/chatdb.md:55
#: ../../getting_started/application/chatdb/chatdb.md:61
#: 1467691a6012498795a94a14f7eba307 32315140835948c58e1721c7e2fa88a9
#: 3b8e3c3396ff47348105a6dec9e755ba 6b116d2bac2d43faa4cbcbd0c4151344
#: a314854e9be945dd88ad241bfa340870 d94d5f0e608f4399a0e10d593f0ab1da
#: e0ca6ec1841040bc828ce2ef29c387b6
msgid "db plugins demonstration"
msgstr "db plugins demonstration"
#: ../../getting_started/application/chatdb/chatdb.md:7
#: aa0f978d3ad34b71aacf143a4c807ba1
#: ../../getting_started/application/chatdb/chatdb.md:8
#: 67cb0954cfa54e629b75cf9a241f6b9d
msgid ""
"The LLM (Language Model) suitable for the ChatData scene is * "
"chatgpt3.5. * chatgpt4. * Vicuna-v1.5."
msgstr "ChatData场景适用的LLM * "
"chatgpt3.5. * chatgpt4. * Vicuna-v1.5."
#: ../../getting_started/application/chatdb/chatdb.md:14
#: 8bd004993a834b0797ebcb5b6a6b1a23
msgid "1.Choose Datasource"
msgstr "1.Choose Datasource"
#: ../../getting_started/application/chatdb/chatdb.md:9
#: 8a2338e2fbae44f1b61b2fcf062499d3
#: ../../getting_started/application/chatdb/chatdb.md:16
#: 34abfdced7804b51a212c0e567ffda6b
msgid ""
"If you are using DB-GPT for the first time, you need to add a data source"
" and set the relevant connection information for the data source."
msgstr "如果你是第一次使用DB-GPT, 首先需要添加数据源,设置数据源的相关连接信息"
#: ../../getting_started/application/chatdb/chatdb.md:13
#: f1d165ab8b564445880e581a2e554434
#: ../../getting_started/application/chatdb/chatdb.md:20
#: 3a8d16a8a32c4ac5affbd8093677b4f8
msgid "there are some example data in DB-GPT-NEW/DB-GPT/docker/examples"
msgstr "在DB-GPT-NEW/DB-GPT/docker/examples有数据示例"
#: ../../getting_started/application/chatdb/chatdb.md:15
#: dd390cb518094c96bf5430bfa821830f
#: ../../getting_started/application/chatdb/chatdb.md:22
#: 2c3333a2705648148f79623c220d90cd
msgid "you can execute sql script to generate data."
msgstr "你可以通过执行sql脚本生成测试数据"
#: ../../getting_started/application/chatdb/chatdb.md:18
#: aebd974d23124daa80af6d74431d1ce3
#: ../../getting_started/application/chatdb/chatdb.md:25
#: 4994182137574d14a3eefb421ceccd8e
msgid "1.1 Datasource management"
msgstr "1.1 Datasource management"
#: ../../getting_started/application/chatdb/chatdb.md:20
#: af4d12aaed5c4fc484a3e7a755a666c2
#: ../../getting_started/application/chatdb/chatdb.md:27
#: 94680e1487d84092abc51a7da9bf1075
msgid ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/7678f07e-9eee-40a9-b980-5b3978a0ed52)"
@ -86,13 +95,13 @@ msgstr ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/7678f07e-9eee-40a9-b980-5b3978a0ed52)"
#: ../../getting_started/application/chatdb/chatdb.md:22
#: 34b7b9ce0f0142af8179a8e1763a32f8
#: ../../getting_started/application/chatdb/chatdb.md:29
#: 236dbd6d6cb4467593bf30597ecb215c
msgid "1.2 Connection management"
msgstr "1.2 Connection管理"
#: ../../getting_started/application/chatdb/chatdb.md:24
#: 00a1af9f4e0a45b9a398f641c8198114
#: ../../getting_started/application/chatdb/chatdb.md:31
#: 6611193e600c4452ac8a9769c6230590
msgid ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/25b8f5a9-d322-459e-a8b2-bfe8cb42bdd6)"
@ -100,13 +109,13 @@ msgstr ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/25b8f5a9-d322-459e-a8b2-bfe8cb42bdd6)"
#: ../../getting_started/application/chatdb/chatdb.md:26
#: 3b8efc25b482480b8d0f4afe5304ece0
#: ../../getting_started/application/chatdb/chatdb.md:33
#: 7cceb9703af54970bee4a50fb07d4509
msgid "1.3 Add Datasource"
msgstr "1.3 添加Datasource"
#: ../../getting_started/application/chatdb/chatdb.md:28
#: d36a476e1eb34a46b2d35e6c1c4c39dd
#: ../../getting_started/application/chatdb/chatdb.md:35
#: 83c9e18cb87b4f0d9b0ce5e68b7fea77
msgid ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/19ce31a7-4061-4da8-a9cb-efca396cc085)"
@ -114,54 +123,54 @@ msgstr ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/19ce31a7-4061-4da8-a9cb-efca396cc085)"
#: ../../getting_started/application/chatdb/chatdb.md:31
#: 9205388f91404099bf1add6d55f33801
#: ../../getting_started/application/chatdb/chatdb.md:38
#: 143fb04274cd486687c5766179f6103e
msgid "now DB-GPT support Datasource Type"
msgstr "DB-GPT支持数据源类型"
#: ../../getting_started/application/chatdb/chatdb.md:33
#: 197722ccd9e54f8196e3037f0ebd4165
#: ../../getting_started/application/chatdb/chatdb.md:40
#: 8bcf83e66b2d4d858407fc2b21b8fe85
msgid "Mysql"
msgstr "Mysql"
#: ../../getting_started/application/chatdb/chatdb.md:34
#: e859c194648440b19941a42635f37ac5
#: ../../getting_started/application/chatdb/chatdb.md:41
#: cd74abd5d6f4410ca001a3de2685e768
msgid "Sqlite"
msgstr "Sqlite"
#: ../../getting_started/application/chatdb/chatdb.md:35
#: 91c695f437064f01bf1d7c85a0ecf5b4
#: ../../getting_started/application/chatdb/chatdb.md:42
#: fc5e01baba43449f8c3eb9b4b36a0ed8
msgid "DuckDB"
msgstr "DuckDB"
#: ../../getting_started/application/chatdb/chatdb.md:36
#: 0a8ff591969c4944890415a84aa64173
#: ../../getting_started/application/chatdb/chatdb.md:43
#: 10b6fe2153cd4ceba949687a54c3a68c
msgid "Clickhouse"
msgstr "Clickhouse"
#: ../../getting_started/application/chatdb/chatdb.md:37
#: d52ec849653141dc95862e82ce5777e0
#: ../../getting_started/application/chatdb/chatdb.md:44
#: 9ce0a41784f041d39138a81099c386e9
#, fuzzy
msgid "Mssql"
msgstr "Mysql"
#: ../../getting_started/application/chatdb/chatdb.md:38
#: 430a72d857114422aeecd5595df41881
#: ../../getting_started/application/chatdb/chatdb.md:45
#: 4af6eb835e954e0d937e98b308fb512b
msgid "Spark"
msgstr "Spark"
#: ../../getting_started/application/chatdb/chatdb.md:41
#: b615a70971e7443291ba33e8bc12b437
#: ../../getting_started/application/chatdb/chatdb.md:48
#: 8aaa3a73090b4805b2dddf1cc355d83c
msgid "2.ChatData"
msgstr "2.ChatData"
#: ../../getting_started/application/chatdb/chatdb.md:42
#: e3542c64926143958e71c7cb21d25c78
#: ../../getting_started/application/chatdb/chatdb.md:49
#: a34c79c99bd34233ae92d3090ff0b877
msgid "Preview Mode"
msgstr "Preview Mode"
#: ../../getting_started/application/chatdb/chatdb.md:43
#: e32f26b7c22141e181b5345a644dffd5
#: ../../getting_started/application/chatdb/chatdb.md:50
#: 39e31a2a01494d4191d415a2240e026d
#, fuzzy
msgid ""
"After successfully setting up the data source, you can start conversing "
@ -173,13 +182,13 @@ msgstr ""
"设置数据源成功后就可以和数据库进行对话了。你可以让它帮你生成SQL也可以和问它数据库元数据的相关信息。 ![db plugins "
"demonstration](../../../../assets/chat_data/chatdata_eg.png)"
#: ../../getting_started/application/chatdb/chatdb.md:47
#: 4d5c0465a01b4f5a964d0e803f9cbc89
#: ../../getting_started/application/chatdb/chatdb.md:54
#: 999c78e8b604493a8190b0e1258d0da4
msgid "Editor Mode"
msgstr "Editor Mode"
#: ../../getting_started/application/chatdb/chatdb.md:48
#: 79b088787e8f43258bcc4292c89ad1b0
#: ../../getting_started/application/chatdb/chatdb.md:55
#: e4a61d1e62c743f8b13dbed92ec265ba
msgid ""
"In Editor Mode, you can edit your sql and execute it. ![db plugins "
"demonstration](https://github.com/eosphoros-ai/DB-"
@ -189,13 +198,13 @@ msgstr ""
"/eosphoros-ai/DB-"
"GPT/assets/13723926/1a896dc1-7c0e-4354-8629-30357ffd8d7f)"
#: ../../getting_started/application/chatdb/chatdb.md:52
#: 9efaf27749614cd4bea07146edddf558
#: ../../getting_started/application/chatdb/chatdb.md:59
#: b3a0d94083524d249f97dd426e1e1f26
msgid "3.ChatDB"
msgstr "3.ChatDB"
#: ../../getting_started/application/chatdb/chatdb.md:54
#: b2dc15f067064c60974e532c3e2f5893
#: ../../getting_started/application/chatdb/chatdb.md:61
#: 8f4bd453447f48019a597eb3e4a59875
msgid ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/e04bc1b1-2c58-4b33-af62-97e89098ace7)"

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 👏👏 0.3.6\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-08-29 21:14+0800\n"
"POT-Creation-Date: 2023-11-03 15:25+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -20,13 +20,13 @@ msgstr ""
"Generated-By: Babel 2.12.1\n"
#: ../../getting_started/application/chatexcel/chatexcel.md:1
#: ../../getting_started/application/chatexcel/chatexcel.md:9
#: 6efcbf4652954b27beb55f600cfe75c7 eefb0c3bc131439fb2dd4045761f1ae9
#: ../../getting_started/application/chatexcel/chatexcel.md:15
#: 5e9c1de21de240839a510b9e05afcba1 96556d6d1d734f67ab15e548c9fdce2f
msgid "ChatExcel"
msgstr ""
#: ../../getting_started/application/chatexcel/chatexcel.md:3
#: 5fc4ddd2690f46658df1e09c601d81ad
#: 19590f67feea4f2580602538b79cd138
#, fuzzy
msgid ""
"![db plugins demonstration](https://github.com/eosphoros-ai/DB-"
@ -36,61 +36,69 @@ msgid ""
msgstr "使用自然语言进行Excel数据的分析处理"
#: ../../getting_started/application/chatexcel/chatexcel.md:3
#: ../../getting_started/application/chatexcel/chatexcel.md:13
#: ../../getting_started/application/chatexcel/chatexcel.md:17
#: ../../getting_started/application/chatexcel/chatexcel.md:21
#: 4c91baf5f0b244abb021f461851674cc 4eead9a4f81e4855a5c362774696999c
#: 5f309a06170946108ae70806dff157ea 790016c9c68f4a29a84b7ef8e14d6dc2
#: 93db1eb6af69452982f6028eff626a57 e758c8b320894e2b93f8db78459b7a1f
#: ea3c99f7eafc4ae0a19706a47e4c7bf6 f18d2b88de244173ab2673f2a5e828c0
#: ../../getting_started/application/chatexcel/chatexcel.md:19
#: ../../getting_started/application/chatexcel/chatexcel.md:23
#: ../../getting_started/application/chatexcel/chatexcel.md:27
#: 05b68001df5449869515898742ba2b3a 13c354703dfd4a8487d2c4e5bf4abd73
#: 286462d6d79b4189bcd9d17937a96233 5aac360c20ea4ad189539e28e5e1c70f
#: 7009abd113244cc5badb8e90837dc9af 7eb17d02534d4f77b7602f3756da0d5e
#: be04d49fc14641b8b0d17c1e9d02973b f5c1cfd0f77d4199a45988114174c67f
msgid "db plugins demonstration"
msgstr ""
#: ../../getting_started/application/chatexcel/chatexcel.md:6
#: 45f137031025409ba2ada9c8f7c5f1e4
#: ../../getting_started/application/chatexcel/chatexcel.md:7
#: 338f0b19314f4026b84a670d35056e6c
msgid ""
"The LLM (Language Model) suitable for the ChatExcel scene is * "
"chatgpt3.5. * chatgpt4."
msgstr "ChatExcel场景适用的LLM 是 scene is * "
"chatgpt3.5. * chatgpt4."
#: ../../getting_started/application/chatexcel/chatexcel.md:12
#: 2a710e2650bb44ef9d4a1ee4b8225a35
msgid "1.Select And Upload Excel or CSV File"
msgstr ""
#: ../../getting_started/application/chatexcel/chatexcel.md:7
#: cd282be2b4ef49ea8b0eaa3d53042f22
#: ../../getting_started/application/chatexcel/chatexcel.md:13
#: df48b1003f3640cfa621e416f0405e8d
msgid "Select your excel or csv file to upload and start the conversation."
msgstr "选择你的Excel或者CSV文件上传开始对话"
#: ../../getting_started/application/chatexcel/chatexcel.md:11
#: a5ebc8643eff4b44a951b28d85488143
#: ../../getting_started/application/chatexcel/chatexcel.md:17
#: 7ef5d5ebb634406ea4b566bbf5e30fd7
msgid ""
"The ChatExcel function supports Excel and CSV format files, select the "
"corresponding file to use."
msgstr "ChatExcel功能支持Excel和CSV格式的文件选择对应格式的文件开始使用"
#: ../../getting_started/application/chatexcel/chatexcel.md:13
#: d52927be09654c8daf29e2ef0c60a671
#: ../../getting_started/application/chatexcel/chatexcel.md:19
#: 40c79b71820f44439b1f541db2be9dd9
msgid ""
"![db plugins "
"demonstration](../../../../assets/chat_excel/chat_excel_2.png) ![db "
"plugins demonstration](../../../../assets/chat_excel/chat_excel_3.png)"
msgstr ""
#: ../../getting_started/application/chatexcel/chatexcel.md:16
#: d86202165fdc4da6be06024b45f9af55
#: ../../getting_started/application/chatexcel/chatexcel.md:22
#: 0dd469b6f56a442485392346065e345d
msgid "2.Wait for Data Processing"
msgstr "等待数据处理"
#: ../../getting_started/application/chatexcel/chatexcel.md:17
#: 3de7205fbdc741e2b79996d67264c058
#: ../../getting_started/application/chatexcel/chatexcel.md:23
#: 0e9213342664465187981d6fea41e7ba
msgid ""
"After the data is uploaded, it will first learn and process the data "
"structure and field meaning. ![db plugins "
"demonstration](../../../../assets/chat_excel/chat_excel_4.png)"
msgstr "等待数据上传完成,会自动进行数据结构的学习和处理"
#: ../../getting_started/application/chatexcel/chatexcel.md:20
#: fb0620dec5a24b469ceccf86e918fe54
#: ../../getting_started/application/chatexcel/chatexcel.md:26
#: dd2047d1199542f7abda4767b953cfac
msgid "3.Use Data Analysis Calculation"
msgstr "开始使用数据分析计算"
#: ../../getting_started/application/chatexcel/chatexcel.md:21
#: 221733f01fe04e38b19f191d4001c7a7
#: ../../getting_started/application/chatexcel/chatexcel.md:27
#: 4e168def205743c898586e99e34d3e18
msgid ""
"Now you can use natural language to analyze and query data in the dialog "
"box. ![db plugins "

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-08-29 20:50+0800\n"
"POT-Creation-Date: 2023-11-03 15:25+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -20,12 +20,12 @@ msgstr ""
"Generated-By: Babel 2.12.1\n"
#: ../../getting_started/application/dashboard/dashboard.md:1
#: 2a1224e675d144269e5cc3695d4d60b4
#: 3e4ef12c51894e5d93adcbf090a4783b
msgid "Dashboard"
msgstr "Dashboard"
#: ../../getting_started/application/dashboard/dashboard.md:3
#: 2b6d2f94f73d43e68806bf4c6d0d9269
#: df9eb8d62bbe460d94e448c23fffa529
msgid ""
"The purpose of the DB-GPT Dashboard is to empower data analysts with "
"efficiency. DB-GPT provides intelligent reporting technology, allowing "
@ -34,37 +34,45 @@ msgid ""
msgstr "DB-GPT Dashboard目的是赋能数据分析人员。DB-GPT通过提供智能报表技术使得业务分析人员可以直接使用简单的自然语言进行自助分析。"
#: ../../getting_started/application/dashboard/dashboard.md:8
#: 9612fa76c4264bab8e629ac50959faa9
#: 3ce90998ab9547fc95105f0000e232da
msgid ""
"The LLM (Language Model) suitable for the Dashboard scene is * "
"chatgpt3.5. * chatgpt4."
msgstr "Dashboard场景适用的LLM是 * "
"chatgpt3.5. * chatgpt4."
#: ../../getting_started/application/dashboard/dashboard.md:14
#: da3aaa82126942058e72c472e2495641
msgid "Dashboard now support Datasource Type"
msgstr "Dashboard目前支持的数据源类型"
#: ../../getting_started/application/dashboard/dashboard.md:9
#: bb0b15742ebe41628fb0d1fc38caabe2
#: ../../getting_started/application/dashboard/dashboard.md:15
#: d21cfc9594a24b69a5040f60cba00abb
msgid "Mysql"
msgstr "Mysql"
#: ../../getting_started/application/dashboard/dashboard.md:10
#: 35491581125b4bdd8422f35b11c7bc2c
#: ../../getting_started/application/dashboard/dashboard.md:16
#: fc0e345321e84de5b9a96107fef5467e
msgid "Sqlite"
msgstr "Sqlite"
#: ../../getting_started/application/dashboard/dashboard.md:11
#: 8c4389354e0344aa9a781bdfc94c2cac
#: ../../getting_started/application/dashboard/dashboard.md:17
#: f5cc4387997441b88a9f10ba9b35b621
msgid "DuckDB"
msgstr "DuckDB"
#: ../../getting_started/application/dashboard/dashboard.md:13
#: 18e8c60f5c2f4aa698cec1e8e8b354c8
#: ../../getting_started/application/dashboard/dashboard.md:19
#: d8a86c3d05f84df0aa63c88f5dbfbd78
msgid "Steps to Dashboard In DB-GPT"
msgstr "Dashboard使用步骤"
#: ../../getting_started/application/dashboard/dashboard.md:15
#: 94f98e0f5c2e451ba29b9b77c4139ed9
#: ../../getting_started/application/dashboard/dashboard.md:21
#: dbf7b3f73677411a8e660f8d90c11e05
msgid "1 add datasource"
msgstr "1.添加数据源"
#: ../../getting_started/application/dashboard/dashboard.md:17
#: 34e1211e65b940c3beb6234bcfa423a1
#: ../../getting_started/application/dashboard/dashboard.md:23
#: 70a599bc716a4af2b5a07a40de6fed9d
#, fuzzy
msgid ""
"If you are using Dashboard for the first time, you need to mock some data"
@ -74,18 +82,18 @@ msgid ""
"8c36-213b1c6fb5dd)"
msgstr "如果你是第一次使用Dashboard需要构造测试数据DB-GPT在pilot/mock_datas/提供了测试数据,只需要将数据源进行添加即可"
#: ../../getting_started/application/dashboard/dashboard.md:17
#: f29905929b32442ba05833b6c52a11be
#: ../../getting_started/application/dashboard/dashboard.md:23
#: e38d15f091264563840cf15f0a2fe97c
msgid "add_datasource"
msgstr "添加数据源"
#: ../../getting_started/application/dashboard/dashboard.md:21
#: 367a487dd1d54681a6e83d8fdda5b793
#: ../../getting_started/application/dashboard/dashboard.md:27
#: c6e87a5b20bb439ab1b3dc88e764d20b
msgid "2.Choose Dashboard Mode"
msgstr "2.进入Dashboard"
#: ../../getting_started/application/dashboard/dashboard.md:23
#: 1ee1e980934e4a618591b7c43921c304
#: ../../getting_started/application/dashboard/dashboard.md:29
#: 54c25766650546998d3aaa3655f5275b
msgid ""
"![create_space](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/5e888880-0e97-4b60-8e5c-b7e7224197f0)"
@ -93,18 +101,18 @@ msgstr ""
"![create_space](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/5e888880-0e97-4b60-8e5c-b7e7224197f0)"
#: ../../getting_started/application/dashboard/dashboard.md:23
#: 12c756afdad740a9afc9cb46cc834af8
#: ../../getting_started/application/dashboard/dashboard.md:29
#: ea1781528db04000ab4a72308c7be97e
msgid "create_space"
msgstr "create_space"
#: ../../getting_started/application/dashboard/dashboard.md:25
#: 5a575b17408c42fbacd32d8ff792d5a8
#: ../../getting_started/application/dashboard/dashboard.md:31
#: 5de9b0f0853443368d90e42114e99d6e
msgid "3.Select Datasource"
msgstr "3.选择数据源"
#: ../../getting_started/application/dashboard/dashboard.md:27
#: ae051f852a5a4044a147c853cc3fba60
#: ../../getting_started/application/dashboard/dashboard.md:33
#: 3d4c429c4660414a8d5c44dea0ea0192
msgid ""
"![document](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/da2ac8b5-eca4-48ef-938f-f9dc1ca711b3)"
@ -112,19 +120,19 @@ msgstr ""
"![document](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/da2ac8b5-eca4-48ef-938f-f9dc1ca711b3)"
#: ../../getting_started/application/dashboard/dashboard.md:27
#: ../../getting_started/application/dashboard/dashboard.md:31
#: 94907bb0dc694bc3a4d2ee57a84b8242 ecc0666385904fce8bb1000735482f65
#: ../../getting_started/application/dashboard/dashboard.md:33
#: ../../getting_started/application/dashboard/dashboard.md:37
#: 338912391ae441328549accdb6d5522b 68ce490680fe4ed4a3c844c4c5b3fbd2
msgid "document"
msgstr "document"
#: ../../getting_started/application/dashboard/dashboard.md:29
#: c8697e93661c48b19674e63094ba7486
#: ../../getting_started/application/dashboard/dashboard.md:35
#: 2c0fd7e79393417aa218908c5cc89461
msgid "4.Input your analysis goals"
msgstr "4.输入分析目标"
#: ../../getting_started/application/dashboard/dashboard.md:31
#: 473fc0d00ab54ee6bc5c21e017591cc4
#: ../../getting_started/application/dashboard/dashboard.md:37
#: fb0bb655581a4109a5510240e54db006
#, fuzzy
msgid ""
"![document](https://github.com/eosphoros-ai/DB-"
@ -136,19 +144,19 @@ msgstr ""
"![document](https://github.com/eosphoros-ai/DB-GPT/assets/13723926"
"/3d14a2da-165e-4b2f-a921-325c20fe5ae9)"
#: ../../getting_started/application/dashboard/dashboard.md:31
#: ../../getting_started/application/dashboard/dashboard.md:35
#: 00597e1268544d97a3de368b04d5dcf8 350d04e4b7204823b7a03c0a7606c951
#: ../../getting_started/application/dashboard/dashboard.md:37
#: ../../getting_started/application/dashboard/dashboard.md:41
#: 17a72b7849a6458aa97182b72baad188 44680217a9794eddb97bcb98593a1071
msgid "db plugins demonstration"
msgstr ""
#: ../../getting_started/application/dashboard/dashboard.md:34
#: b48cc911c1614def9e4738d35e8b754c
#: ../../getting_started/application/dashboard/dashboard.md:40
#: 4a9a8eac8e77465a9519b532afdfd1b7
msgid "5.Adjust and modify your report"
msgstr "5.调整"
#: ../../getting_started/application/dashboard/dashboard.md:35
#: b0442bbc0f6c4c33914814ac92fc4b13
#: ../../getting_started/application/dashboard/dashboard.md:41
#: b56da5e50ced4085bb376caa26e50e78
msgid ""
"![db plugins "
"demonstration](../../../../assets/chat_dashboard/chat_dashboard_2.png)"

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 👏👏 0.4.0\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-11-03 13:00+0800\n"
"POT-Creation-Date: 2023-11-03 15:25+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -19,40 +19,27 @@ msgstr ""
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"
#: ../../getting_started/install/deploy.rst:4 7a1ee708aa40431981178ebd1d34b9aa
#: ../../getting_started/install/deploy.rst:4 bb7e1a7b70624a3d91804c5ce2d5216b
msgid "Installation From Source"
msgstr "源码安装"
#: ../../getting_started/install/deploy.rst:6 dd4c542c563b4d4ca5b710dc7326ff8b
#: ../../getting_started/install/deploy.rst:6 7524477e8b8a456b8e2b942621a6b225
msgid "To get started, install DB-GPT with the following steps."
msgstr "按照以下步骤进行安装"
#: ../../getting_started/install/deploy.rst:8 f352a8d93da744aaab775e8290c74704
msgid ""
"DB-GPT can be deployed on servers with low hardware requirements or on "
"servers with high hardware requirements. You can install DB-GPT by Using "
"third-part LLM REST API Service OpenAI, Azure."
msgstr ""
#: ../../getting_started/install/deploy.rst:11 b89bfaa679d5448791d315b9ffebe7c5
msgid ""
"And you can also install DB-GPT by deploy LLM Service by download LLM "
"model."
msgstr ""
#: ../../getting_started/install/deploy.rst:15 942b2999b3b5432e956c44e2a51b5269
#: ../../getting_started/install/deploy.rst:10 871cdb0a7e004668b518168461d76945
msgid "1.Preparation"
msgstr "1.准备"
#: ../../getting_started/install/deploy.rst:16 d27c8698bd4a45d7a7ebdbba470318d6
#: ../../getting_started/install/deploy.rst:11 d845f48ec05a4bb7a5b0f95a0644029d
msgid "**Download DB-GPT**"
msgstr "**下载DB-GPT项目**"
#: ../../getting_started/install/deploy.rst:22 ce3e61a03ca945b4a3c3b264a063442c
#: ../../getting_started/install/deploy.rst:17 85df7bb2b73141058ba0ca5a73e46701
msgid "**Install Miniconda**"
msgstr "**安装Miniconda**"
#: ../../getting_started/install/deploy.rst:24 1fd868a2e84c4752b242b401ac64d0e4
#: ../../getting_started/install/deploy.rst:19 b7b3e120ded344d09fb2d7a3a7903497
msgid ""
"We use Sqlite as default database, so there is no need for database "
"installation. If you choose to connect to other databases, you can "
@ -66,241 +53,241 @@ msgstr ""
"GPT快速部署不需要部署相关数据库服务。如果你想使用其他数据库需要先部署相关数据库服务。我们目前使用Miniconda进行python环境和包依赖管理[安装"
" Miniconda](https://docs.conda.io/en/latest/miniconda.html)"
#: ../../getting_started/install/deploy.rst:41 59dc27ad4237444d8eb7229fe29c975d
#: ../../getting_started/install/deploy.rst:36 a5e34db6a6b8450c8a1f35377a1dc93b
msgid "2.Deploy LLM Service"
msgstr "2.部署LLM服务"
#: ../../getting_started/install/deploy.rst:42 12ed83127fb744bcb60c5c7c16359a0e
#: ../../getting_started/install/deploy.rst:37 5c49829b086e4d5fbcb5a971a34fa3b5
msgid ""
"DB-GPT can be deployed on servers with low hardware requirements or on "
"servers with high hardware requirements."
msgstr "DB-GPT可以部署在对硬件要求不高的服务器也可以部署在对硬件要求高的服务器"
#: ../../getting_started/install/deploy.rst:44 1674c59c24804200ab53bd31847be19a
#: ../../getting_started/install/deploy.rst:39 7c2f7e2b49054d17850942bef9570c45
msgid ""
"If you are low hardware requirements you can install DB-GPT by Using "
"third-part LLM REST API Service OpenAI, Azure, tongyi."
msgstr "Low hardware requirements模式适用于对接第三方模型服务的api,比如OpenAI, 通义千问, 文心.cpp。"
#: ../../getting_started/install/deploy.rst:48 e9c37648778540fe982c26d4104931ae
#: ../../getting_started/install/deploy.rst:43 8c392e63073a47698e38456c5994ff25
msgid "As our project has the ability to achieve OpenAI performance of over 85%,"
msgstr "使用OpenAI服务可以让DB-GPT准确率达到85%"
#: ../../getting_started/install/deploy.rst:53 201b7af45c0046faada4b81e110e7745
#: ../../getting_started/install/deploy.rst:48 148f8d85c02345219ac535003fe05fca
msgid "Notice make sure you have install git-lfs"
msgstr "确认是否已经安装git-lfs"
#: ../../getting_started/install/deploy.rst:55 f7c9535c0eb546f7b1389a181b08c5c0
#: ../../getting_started/install/deploy.rst:50 7f719273d1ff4d888376030531a560c4
msgid "centos:yum install git-lfs"
msgstr ""
#: ../../getting_started/install/deploy.rst:57 8fb3efededcb42c592fa27b03c4e9a65
#: ../../getting_started/install/deploy.rst:52 f5c2035bca214e3fbef2b70be0e76247
msgid "ubuntu:apt-get install git-lfs"
msgstr ""
#: ../../getting_started/install/deploy.rst:59 b3df472ae3ae470d94112f7327787e13
#: ../../getting_started/install/deploy.rst:54 cb1b52b9323e4e9fbccfd3c42067a568
msgid "macos:brew install git-lfs"
msgstr ""
#: ../../getting_started/install/deploy.rst:63
#: ../../getting_started/install/deploy.rst:226
#: 070a6d653f6740cf852ddaf036ac2538 635662e449d34d5b9f6316898d14e0a6
#: ../../getting_started/install/deploy.rst:58
#: ../../getting_started/install/deploy.rst:221
#: 9c601ee0c06646d58cbd2c2fff342cb5 d3fe6c712b4145d0856487c65057c2a0
msgid "OpenAI"
msgstr "OpenAI"
#: ../../getting_started/install/deploy.rst:65
#: ../../getting_started/install/deploy.rst:212
#: 1ff3d5d9f9814e638f118925bedb7800 59cda8abcdc7471eb0a488610121a533
#: ../../getting_started/install/deploy.rst:60
#: ../../getting_started/install/deploy.rst:207
#: 5e0e84bd11084d158e18b702022aaa96 6a9c9830e5184eac8b6b7425780f4a3e
msgid "Download embedding model"
msgstr "下载embedding model"
#: ../../getting_started/install/deploy.rst:77
#: ../../getting_started/install/deploy.rst:234
#: 0c68e075ab7840bd9d75ced89deaea86 b9e25c8690da4d9c94c012a04ddc8f0d
#: ../../getting_started/install/deploy.rst:72
#: ../../getting_started/install/deploy.rst:229
#: 953d6931627641b985588abf8b6ad9fd d52e287164ca44f79709f4645a1bb774
msgid "Configure LLM_MODEL and PROXY_API_URL and API_KEY in `.env` file"
msgstr "在`.env`文件设置LLM_MODEL and PROXY_API_URL and API_KEY"
#: ../../getting_started/install/deploy.rst:87
#: ../../getting_started/install/deploy.rst:285
#: 5eb0e6ffb66a48dfa05cfea8414b21c5 61b75bb879d64726976c131f0f7cea83
#: ../../getting_started/install/deploy.rst:82
#: ../../getting_started/install/deploy.rst:280
#: 6dc89616c0bf46a898a49606d1349039 e30b7458fc0d46e8bcf0ec61a2be2e19
msgid "Make sure your .env configuration is not overwritten"
msgstr "认.env文件不会被覆盖\""
#: ../../getting_started/install/deploy.rst:90 d14c2a247eee401bae9b1711cdcc0712
#: ../../getting_started/install/deploy.rst:85 7adce7ac878d4b1ab9249d840d302520
msgid "Vicuna"
msgstr "Vicuna"
#: ../../getting_started/install/deploy.rst:91 d59e03c9d3c3405ea04d814bffc59ef8
#: ../../getting_started/install/deploy.rst:86 44a32c4cd0b140838b49f739d68ff42d
msgid ""
"`Vicuna-v1.5 <https://huggingface.co/lmsys/vicuna-13b-v1.5>`_ based on "
"llama-2 has been released, we recommend you set `LLM_MODEL=vicuna-"
"13b-v1.5` to try this model)"
msgstr ""
#: ../../getting_started/install/deploy.rst:93 c6d22fb4c35c40378159e7845c87bb51
#: ../../getting_started/install/deploy.rst:88 f4991de79c434961b0ee777cf42dc491
msgid "vicuna-v1.5 hardware requirements"
msgstr ""
#: ../../getting_started/install/deploy.rst:92
#: ../../getting_started/install/deploy.rst:137
#: 596405ba21d046c993c18d0bcaf95048 ca993a5f1b194707bbe3d5d6e9d670d8
msgid "Model"
msgstr ""
#: ../../getting_started/install/deploy.rst:93
#: ../../getting_started/install/deploy.rst:138
#: 8437bb47daa94ca8a43b0eadc1286842 d040d964198d4c95afa6dd0d86586cc2
msgid "Quantize"
msgstr ""
#: ../../getting_started/install/deploy.rst:94
#: ../../getting_started/install/deploy.rst:139
#: 453bc4416d89421699d90d940498b9ac 5de996bb955f4c6ca8d5651985ced255
msgid "VRAM Size"
msgstr ""
#: ../../getting_started/install/deploy.rst:95
#: ../../getting_started/install/deploy.rst:98 077d52b8588e4ddd956acb7ff86bc458
#: fcf0ca75422343d19b12502fb7746f08
msgid "vicuna-7b-v1.5"
msgstr ""
#: ../../getting_started/install/deploy.rst:96
#: ../../getting_started/install/deploy.rst:102
#: ../../getting_started/install/deploy.rst:141
#: ../../getting_started/install/deploy.rst:147
#: 799b310b76454f79a261300253a9bb75 bd98df81ec8941b69c7d1de107154b1b
#: ca71731754f545d589e506cb53e6f042 d4023553e4384cc4955ef5bf4dc4d05b
msgid "4-bit"
msgstr ""
#: ../../getting_started/install/deploy.rst:97
#: ../../getting_started/install/deploy.rst:142
#: 215382b66c944bef8ba8d081792cb3c5 eadfd6f7230f49a4a9d5552b51d766c0
msgid "Model"
msgstr ""
#: ../../getting_started/install/deploy.rst:98
#: ../../getting_started/install/deploy.rst:143
#: 5eca1dbe065b4e648ee00ca118e84214 abec181550804601ad54500469b332f9
msgid "Quantize"
#: adfc22d9c6394046bb632831a4a3b066 e4e7762c714a49828da630a5f9d641dc
msgid "8 GB"
msgstr ""
#: ../../getting_started/install/deploy.rst:99
#: ../../getting_started/install/deploy.rst:105
#: ../../getting_started/install/deploy.rst:144
#: 24a907ffe6e4449abb632d80ada8733c 472a99174d68460a84a72d65d9fdcd07
msgid "VRAM Size"
#: ../../getting_started/install/deploy.rst:150
#: 0d6bd1c4a6464df38723de978c09e8bc 106e20f7727f43d280b7560dc0f19bbc
#: 5a95691d1d134638bffa478daf2577a0 f8add03506244306b1ac6e10c5a2bc1f
msgid "8-bit"
msgstr ""
#: ../../getting_started/install/deploy.rst:100
#: ../../getting_started/install/deploy.rst:103
#: 87bba38be8f24c0688431a5985622d33 e8c8ef23e4964d059d9615f41719d05f
msgid "vicuna-7b-v1.5"
msgstr ""
#: ../../getting_started/install/deploy.rst:101
#: ../../getting_started/install/deploy.rst:107
#: ../../getting_started/install/deploy.rst:146
#: ../../getting_started/install/deploy.rst:152
#: 7695fa31995b4e038ac4359df76a0a2f a8c361af629c4a179c811ac39ef16c3c
#: defc11c71d45471da982eb7c96039450 f9362395c5ff4213b5fb2f4d1e430496
msgid "4-bit"
msgstr ""
#: ../../getting_started/install/deploy.rst:102
#: ../../getting_started/install/deploy.rst:147
#: 7f2ebb804fb042c1b24cf6274c2cb7fc 9604200fbd974a6e9e3d66a38f9e5895
msgid "8 GB"
msgstr ""
#: ../../getting_started/install/deploy.rst:104
#: ../../getting_started/install/deploy.rst:110
#: ../../getting_started/install/deploy.rst:149
#: ../../getting_started/install/deploy.rst:155
#: 4936725d2b0a47f39286453db766027c 879daa7be9e243b7a8a51f0859459096
#: c5322eaace39472282941c4bcae87232 e79778e8505e490a912aa80c28e37b0c
msgid "8-bit"
msgstr ""
#: ../../getting_started/install/deploy.rst:105
#: ../../getting_started/install/deploy.rst:108
#: ../../getting_started/install/deploy.rst:150
#: ../../getting_started/install/deploy.rst:153
#: 09cd46eb89234d1cbbaf9fccd2d7f206 531282962fd148108a5d4582022b9d11
#: c2249464c63b4808a13be66c6a04653d c54d26deb5e14bbc9ebeefe751ee32a1
#: ../../getting_started/install/deploy.rst:145
#: ../../getting_started/install/deploy.rst:148
#: 03222e6a682e406bb56c21025412fbe5 2eb88af3efb74fb79899d7818a79d177
#: 9705b9d7d2084f0b8867f6aeec66251b bca6e5151e244a318f4c2078c3f82118
msgid "12 GB"
msgstr ""
#: ../../getting_started/install/deploy.rst:106
#: ../../getting_started/install/deploy.rst:109
#: 40d56aeeeeae4ad5a08d432da14c91f6 a4aae2c08b35462699a074c20436b583
#: ../../getting_started/install/deploy.rst:101
#: ../../getting_started/install/deploy.rst:104
#: 1596cbb77c954d1db00e2fa283d66a9a c6e8dc1600d14ee5a47f45f75ec709f4
msgid "vicuna-13b-v1.5"
msgstr ""
#: ../../getting_started/install/deploy.rst:111
#: ../../getting_started/install/deploy.rst:156
#: 4e58bb5b42d043b8b8105ff1424b3dda 670a8f2e7d9a4f56b338a890a0e6179c
#: ../../getting_started/install/deploy.rst:106
#: ../../getting_started/install/deploy.rst:151
#: 00ee98593b7f4b29b5d97fa5a323bfa1 0169214dcf8d46c791b3482c81283fa0
msgid "20 GB"
msgstr ""
#: ../../getting_started/install/deploy.rst:127
#: ../../getting_started/install/deploy.rst:174
#: ../../getting_started/install/deploy.rst:200
#: 7aec36decef845a4979e4d72b5556166 edb0520c46de41e79a56453901f5dbda
#: f726ecdc3a3b40eeb527464e705d262c
#: ../../getting_started/install/deploy.rst:122
#: ../../getting_started/install/deploy.rst:169
#: ../../getting_started/install/deploy.rst:195
#: 852f800e380c44d3b1b5bdaa881406b7 89ddd6c4a4874f4f8b7f051d797e364a
#: a2b4436f8fcb44ada3b5bf5c1099e646
msgid "The model files are large and will take a long time to download."
msgstr ""
#: ../../getting_started/install/deploy.rst:129
#: ../../getting_started/install/deploy.rst:176
#: ../../getting_started/install/deploy.rst:202
#: 1ced4f4cd3ca4b4a8a545ba4625e5888 1f3fc32e037846ecba6e9d99acaa341e
#: 2e2a3b69997043858a21ce88c349fd87
#: ../../getting_started/install/deploy.rst:124
#: ../../getting_started/install/deploy.rst:171
#: ../../getting_started/install/deploy.rst:197
#: 18ccf7acdf3045588a19866c0161f44b 3d3d93649ec943c8b2b725807e969cbf
#: 6205975466f54d8fbf8e30b58df6b9c2
msgid "**Configure LLM_MODEL in `.env` file**"
msgstr ""
#: ../../getting_started/install/deploy.rst:136
#: ../../getting_started/install/deploy.rst:231
#: 0ae3d2ff947545fb8ae3a3221ada4fca 908164bbe3f745cf994b65c7cc0d4f42
#: ../../getting_started/install/deploy.rst:131
#: ../../getting_started/install/deploy.rst:226
#: 022addaea4ea432584b8a27ea83a9dc4 7a95d25c58d2491e855dff42f6d3a686
msgid "Baichuan"
msgstr ""
#: ../../getting_started/install/deploy.rst:138
#: 4249581eb6eb4c90ac467c3b23f9cf47
#: ../../getting_started/install/deploy.rst:133
#: b5374f6d0ca44ee9bd984c0198515861
msgid "Baichuan hardware requirements"
msgstr ""
#: ../../getting_started/install/deploy.rst:145
#: ../../getting_started/install/deploy.rst:148
#: c01aea1eaf0c4d0ca14c10e51003fa2e f1081e1ecc6b42b6a7d227cf4a3b9aa9
#: ../../getting_started/install/deploy.rst:140
#: ../../getting_started/install/deploy.rst:143
#: 6a5e6034c185455d81e8ba5349dbc191 9d0109817c524747909417924bb0bd31
msgid "baichuan-7b"
msgstr ""
#: ../../getting_started/install/deploy.rst:151
#: ../../getting_started/install/deploy.rst:154
#: 1cf37d7196814348a177341d80d9748a edf669023f5647c89c52475f385dd91f
#: ../../getting_started/install/deploy.rst:146
#: ../../getting_started/install/deploy.rst:149
#: b3300ed57f0c4ed98816652ea4a5c3c8 d57e98b46fb14f649d6ac8df27edcfd8
msgid "baichuan-13b"
msgstr ""
#: ../../getting_started/install/deploy.rst:178
#: 25e45bdc7e6b475080f8b39cd555746d
#: ../../getting_started/install/deploy.rst:173
#: ac684ccbea7d4f5380c43ad02a1b7231
msgid "please rename Baichuan path to \"baichuan2-13b\" or \"baichuan2-7b\""
msgstr "将Baichuan模型目录修改为\"baichuan2-13b\" 或 \"baichuan2-7b\""
#: ../../getting_started/install/deploy.rst:184
#: 80c36809333c4e2490166571222963cc
#: ../../getting_started/install/deploy.rst:179
#: d2e283112ed1440b93510c331922b37c
msgid "ChatGLM"
msgstr ""
#: ../../getting_started/install/deploy.rst:204
#: f1e3c93f447b40039a57d278d49ff32d
#: ../../getting_started/install/deploy.rst:199
#: ae30d065461e446e86b02d3903108a02
msgid "please rename chatglm model path to \"chatglm2-6b\""
msgstr "将chatglm模型目录修改为\"chatglm2-6b\""
#: ../../getting_started/install/deploy.rst:210
#: 62570cd6084a4b3c8ceff5fdd5234aa0
#: ../../getting_started/install/deploy.rst:205
#: 81a8983e89c4400abc20080c86865c02
msgid "Other LLM API"
msgstr ""
#: ../../getting_started/install/deploy.rst:227
#: fb0c2d274f3740a2af7ece03fdb81d22
#: ../../getting_started/install/deploy.rst:222
#: 4f7cb7a3f324410d8a34ba96d7c9536a
msgid "Azure"
msgstr ""
#: ../../getting_started/install/deploy.rst:228
#: 13e28550c95e4838b9e35a064448f9ca
#: ../../getting_started/install/deploy.rst:223
#: ee6cbe48a8094637b6b8a049446042c6
msgid "Aliyun tongyi"
msgstr ""
#: ../../getting_started/install/deploy.rst:229
#: 32d7289e7e514db5b3f49ebad9eb0e46
#: ../../getting_started/install/deploy.rst:224
#: a3d9c061b0f440258be88cc3143b1887
msgid "Baidu wenxin"
msgstr ""
#: ../../getting_started/install/deploy.rst:230
#: b8033cd9b67d4b18823fc2053e23114b
#: ../../getting_started/install/deploy.rst:225
#: 176001fb6eaf448f9eca1abd256b3ef4
msgid "Zhipu"
msgstr ""
#: ../../getting_started/install/deploy.rst:232
#: 9cc479d40a3f435a81e8e2aa8c015bbe
#: ../../getting_started/install/deploy.rst:227
#: 17fecc140be2474ea1566d44641a27c0
msgid "Bard"
msgstr ""
#: ../../getting_started/install/deploy.rst:287
#: abd4caa347e3405f86319825c14b3b4a
#: ../../getting_started/install/deploy.rst:282
#: bc34832cec754984a40c4d01526f0f83
msgid "llama.cpp"
msgstr ""
#: ../../getting_started/install/deploy.rst:289
#: b3b53e55206345e8b332af19851f5a5f
#: ../../getting_started/install/deploy.rst:284
#: aa4b14e726dc447f92dec48f38a3d770
msgid ""
"DB-GPT already supports `llama.cpp "
"<https://github.com/ggerganov/llama.cpp>`_ via `llama-cpp-python "
@ -309,25 +296,25 @@ msgstr ""
"DB-GPT 已经支持了 `llama.cpp <https://github.com/ggerganov/llama.cpp>`_ via "
"`llama-cpp-python <https://github.com/abetlen/llama-cpp-python>`_ ."
#: ../../getting_started/install/deploy.rst:291
#: 54fc351de03445e7b4b7a5408215c0cf
#: ../../getting_started/install/deploy.rst:286
#: e97a868ad05b48ee8d25017457c1b7ee
msgid "**Preparing Model Files**"
msgstr "**准备Model文件**"
#: ../../getting_started/install/deploy.rst:293
#: 41e7c90a891d47c1ae04883454cf999f
#: ../../getting_started/install/deploy.rst:288
#: 8efc7824082545a4a98ebbd6b12fa00f
msgid ""
"To use llama.cpp, you need to prepare a gguf format model file, and there"
" are two common ways to obtain it, you can choose either:"
msgstr "使用 llama.cpp你需要准备 gguf 格式的文件,你可以通过以下两种方法获取"
#: ../../getting_started/install/deploy.rst:295
#: 8aefa2f2e0ab47469717aff4af20668e
#: ../../getting_started/install/deploy.rst:290
#: 5b9f3a35779c4f89a4b9051904c5f7d8
msgid "**1. Download a pre-converted model file.**"
msgstr "**1.下载已转换的模型文件.**"
#: ../../getting_started/install/deploy.rst:297
#: 9849e3b8c0824cfa9add58a97fb583c4
#: ../../getting_started/install/deploy.rst:292
#: e15f33a2e5fc4caaa9ad2e10cabf9d32
msgid ""
"Suppose you want to use [Vicuna 13B v1.5](https://huggingface.co/lmsys"
"/vicuna-13b-v1.5), you can download the file already converted from "
@ -341,13 +328,13 @@ msgstr ""
"13B-v1.5-GGUF)下载已转换的文件只需要一个文件。将其下载到models目录并将其重命名为 `ggml-"
"model-q4_0.gguf`。"
#: ../../getting_started/install/deploy.rst:303
#: b79538a3af8a4946b24d8ebdb343e8aa
#: ../../getting_started/install/deploy.rst:298
#: 81ab603cd9b94cabb48add9541590b8b
msgid "**2. Convert It Yourself**"
msgstr "**2. 自行转换**"
#: ../../getting_started/install/deploy.rst:305
#: 12f31f96202f4789af86c254feaac717
#: ../../getting_started/install/deploy.rst:300
#: f9b46aa70a0842d6acc7e837c8b27778
msgid ""
"You can convert the model file yourself according to the instructions in "
"[llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp"
@ -358,31 +345,31 @@ msgstr ""
"#prepare-data--run)中的说明自行转换模型文件并把转换后的文件放在models目录中并重命名为`ggml-"
"model-q4_0.gguf`。"
#: ../../getting_started/install/deploy.rst:307
#: c45612d904e64b3a8c0d50c564447853
#: ../../getting_started/install/deploy.rst:302
#: 5278c05568dd4ad688bcc181e45caa18
msgid "**Installing Dependencies**"
msgstr "**安装依赖**"
#: ../../getting_started/install/deploy.rst:309
#: c3c04c3e560a46bba53719472a25ce11
#: ../../getting_started/install/deploy.rst:304
#: bd67bf651a9a4096a37e73851b5fad98
msgid ""
"llama.cpp is an optional dependency in DB-GPT, and you can manually "
"install it using the following command:"
msgstr "llama.cpp在DB-GPT中是可选安装项, 你可以通过以下命令进行安装"
#: ../../getting_started/install/deploy.rst:316
#: 25f8ceb4fca941cdbd7c4dcc49818d79
#: ../../getting_started/install/deploy.rst:311
#: 71ed6ae4d0aa4d3ca27ebfffc42a5095
msgid "**3.Modifying the Configuration File**"
msgstr "**3.修改配置文件**"
#: ../../getting_started/install/deploy.rst:318
#: 5a63a04a43a1487eac56f2560dbc2275
#: ../../getting_started/install/deploy.rst:313
#: a0a2fdb799524ef4938df2c306536e2a
msgid "Next, you can directly modify your `.env` file to enable llama.cpp."
msgstr "修改`.env`文件使用llama.cpp"
#: ../../getting_started/install/deploy.rst:325
#: ../../getting_started/install/deploy.rst:393
#: e8b1498ad8c44201ba2e050db454c61c ffcb505780884dddaf3559990405a081
#: ../../getting_started/install/deploy.rst:320
#: ../../getting_started/install/deploy.rst:388
#: 03694cbb7dfa432cb32116925357f008 07594f3e3e2e4d0f86b243629df5699e
msgid ""
"Then you can run it according to `Run <https://db-"
"gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html#run>`_"
@ -390,56 +377,56 @@ msgstr ""
"然后你可以根据[运行](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-"
"cn/zh_CN/latest/getting_started/install/deploy/deploy.html#run)来运行"
#: ../../getting_started/install/deploy.rst:328
#: 0d8d0f68e43b465a9537fbc741a9d37f
#: ../../getting_started/install/deploy.rst:323
#: c9bbc15ea2fc4562bdf87a4e099600a0
msgid "**More Configurations**"
msgstr "**更多配置文件**"
#: ../../getting_started/install/deploy.rst:330
#: 6fdef4b280e5456faf11521700b7fe04
#: ../../getting_started/install/deploy.rst:325
#: 9beff887d8554d1dac169de93625c1b2
msgid ""
"In DB-GPT, the model configuration can be done through `{model "
"name}_{config key}`."
msgstr "在DB-GPT中模型配置可以通过`{模型名称}_{配置名}` 来配置。"
#: ../../getting_started/install/deploy.rst:332
#: 256b25378f3d4bfd902f155b3a4346ad
#: ../../getting_started/install/deploy.rst:327
#: 6cad64bcc9f141de85479203b21f7f9e
msgid "More Configurations"
msgstr "**更多配置文件**"
#: ../../getting_started/install/deploy.rst:336
#: ebe4390d2de44fd288379a439d99bccd
#: ../../getting_started/install/deploy.rst:331
#: de97b0d5b59c4bfabbd47b7e1766cc70
msgid "Environment Variable Key"
msgstr "环境变量Key"
#: ../../getting_started/install/deploy.rst:337
#: ee1c68623cc24446b4036870e0c7f21c
#: ../../getting_started/install/deploy.rst:332
#: 76afa3655f644576b54b4422bad3fcad
msgid "Default"
msgstr "默认值"
#: ../../getting_started/install/deploy.rst:338
#: ed6c358d27fb4022a70de1e733ad99cd
#: ../../getting_started/install/deploy.rst:333
#: 0dcabfeeb4874e08ba53d4b4aa6a1d73
msgid "Description"
msgstr "描述"
#: ../../getting_started/install/deploy.rst:339
#: 4ad9e1b85c294cf084b8ebf858cc4075
#: ../../getting_started/install/deploy.rst:334
#: c1670aec27cf4c068d825456817d7667
msgid "llama_cpp_prompt_template"
msgstr ""
#: ../../getting_started/install/deploy.rst:340
#: ../../getting_started/install/deploy.rst:343
#: ../../getting_started/install/deploy.rst:349
#: ../../getting_started/install/deploy.rst:355
#: ../../getting_started/install/deploy.rst:361
#: 0cfccd9b8f7043ec8ccfe5159dfcf2c3 155d01bf0ad94016a32a2ec18a0fd881
#: 3a194e635268499a939990b3503da72e 8909fd33e33b4f5a9208b8338b82b20f
#: e32e3219d2384884b398054cecceec8a
#: ../../getting_started/install/deploy.rst:335
#: ../../getting_started/install/deploy.rst:338
#: ../../getting_started/install/deploy.rst:344
#: ../../getting_started/install/deploy.rst:350
#: ../../getting_started/install/deploy.rst:356
#: 1e13d43ba3574c33afa7e44d1643171b 355e51a688a0463f881ffce1a6cb0934
#: 3775eb80762c4c6189efcaf62ee25556 49c8f875066f49c6aac195805f88e4a9
#: 4d4358e00a31419b96d937cbbb4d9943
msgid "None"
msgstr ""
#: ../../getting_started/install/deploy.rst:341
#: c395eb1a7b044536a7ed300320e230f5
#: ../../getting_started/install/deploy.rst:336
#: bb31e19533e5434b832d5975bf579dc3
msgid ""
"Prompt template name, now support: zero_shot, vicuna_v1.1,alpaca,llama-2"
",baichuan-chat,internlm-chat, If None, the prompt template is "
@ -448,182 +435,198 @@ msgstr ""
"Prompt template 现在可以支持`zero_shot, vicuna_v1.1,alpaca,llama-2,baichuan-"
"chat,internlm-chat`, 如果是None, 可以根据模型路径来自动获取模型 Prompt template"
#: ../../getting_started/install/deploy.rst:342
#: 8fb84e002d1f4fc79bd4465b161e018a
#: ../../getting_started/install/deploy.rst:337
#: 38ed23e19e2a47cf8fbacb035cfe1292
msgid "llama_cpp_model_path"
msgstr ""
#: ../../getting_started/install/deploy.rst:344
#: 81df474169634fbf9da20fe239d903a0
#: ../../getting_started/install/deploy.rst:339
#: eb069fdfdfeb4b17b723ee6733ba50c2
msgid "Model path"
msgstr "模型路径"
#: ../../getting_started/install/deploy.rst:345
#: a94ac450e72940f78b8ba6f6c9854248
#: ../../getting_started/install/deploy.rst:340
#: 348d3ff3e4f44ceb99aadead11f5cca5
msgid "llama_cpp_n_gpu_layers"
msgstr ""
#: ../../getting_started/install/deploy.rst:346
#: 06a24fb226f24ed4a93cde7034a3b67f
#: ../../getting_started/install/deploy.rst:341
#: 007deecf593b4553b6ca8df3e9240a28
msgid "1000000000"
msgstr ""
#: ../../getting_started/install/deploy.rst:347
#: d29a8733688a4c62a3ea88e4793b82ef
#: ../../getting_started/install/deploy.rst:342
#: 4da435c417f0482581895bf4d052a6a1
msgid ""
"Number of layers to offload to the GPU, Set this to 1000000000 to offload"
" all layers to the GPU. If your GPU VRAM is not enough, you can set a low"
" number, eg: 10"
msgstr "要将多少网络层转移到GPU上将其设置为1000000000以将所有层转移到GPU上。如果您的 GPU 内存不足可以设置较低的数字例如10。"
#: ../../getting_started/install/deploy.rst:348
#: 8531ecd5690e46f2a9d64823405054b1
#: ../../getting_started/install/deploy.rst:343
#: 4f186505ea81467590cf817d116e6879
msgid "llama_cpp_n_threads"
msgstr ""
#: ../../getting_started/install/deploy.rst:350
#: d22c11631f5b4bc3b9dabad2175f26d5
#: ../../getting_started/install/deploy.rst:345
#: b94dc2fb2cd14a4a8f38ba95b05fbb5b
msgid ""
"Number of threads to use. If None, the number of threads is automatically"
" determined"
msgstr "要使用的线程数量。如果为None则线程数量将自动确定。"
#: ../../getting_started/install/deploy.rst:351
#: 06994945569849a9a07ca0fbb56509e4
#: ../../getting_started/install/deploy.rst:346
#: 867f2357430440eba4e749a8a39bff18
msgid "llama_cpp_n_batch"
msgstr ""
#: ../../getting_started/install/deploy.rst:352
#: a509c6b3800941aa8aaed1c2c3a89937
#: ../../getting_started/install/deploy.rst:347
#: 78516f7b23264147bae11e13426097eb
msgid "512"
msgstr ""
#: ../../getting_started/install/deploy.rst:353
#: 02f71c7f7ddc49f6b61b163237f4c4fe
#: ../../getting_started/install/deploy.rst:348
#: c2ec97ffef3e4a70afef6634e78801a2
msgid "Maximum number of prompt tokens to batch together when calling llama_eval"
msgstr "在调用llama_eval时批处理在一起的prompt tokens的最大数量"
#: ../../getting_started/install/deploy.rst:354
#: 4d0df2430c22464fac021d816b4fa0c3
#: ../../getting_started/install/deploy.rst:349
#: 29ad3c5ab7134da49d6fca3b42d734d6
msgid "llama_cpp_n_gqa"
msgstr ""
#: ../../getting_started/install/deploy.rst:356
#: 24304fe7c331423ebcc9eb407d6f6f46
#: ../../getting_started/install/deploy.rst:351
#: e5bc322b0c824465b1adbd162838a3b7
msgid "Grouped-query attention. Must be 8 for llama-2 70b."
msgstr "对于 llama-2 70B 模型Grouped-query attention 必须为8。"
#: ../../getting_started/install/deploy.rst:357
#: 8c6b332cdcc845dc9c218e3de7050e3e
#: ../../getting_started/install/deploy.rst:352
#: 43e7d412238a4f0ba8227938d9fa4172
msgid "llama_cpp_rms_norm_eps"
msgstr ""
#: ../../getting_started/install/deploy.rst:358
#: 2c2ac24d7d264be3aa6960e776fa5e56
#: ../../getting_started/install/deploy.rst:353
#: 6328db04645b4b089593291e2ca13f79
msgid "5e-06"
msgstr ""
#: ../../getting_started/install/deploy.rst:359
#: 2d7170d63e364aa3bb3040d96ba31316
#: ../../getting_started/install/deploy.rst:354
#: 6c8bf631cece42fa86954f5cf2d75503
msgid "5e-6 is a good value for llama-2 models."
msgstr "对于llama-2模型来说5e-6是一个不错的值。"
#: ../../getting_started/install/deploy.rst:360
#: 402b942db0b149a8985685dbfe6f31c7
#: ../../getting_started/install/deploy.rst:355
#: 22ebee39fe8b4cc18378447cac67e631
msgid "llama_cpp_cache_capacity"
msgstr ""
#: ../../getting_started/install/deploy.rst:362
#: c990275acf6741398ac147a8ddce1ce3
#: ../../getting_started/install/deploy.rst:357
#: 4dc98bede90f4237829f65513e4adf61
msgid "Maximum cache capacity. Examples: 2000MiB, 2GiB"
msgstr "模型缓存最大值. 例如: 2000MiB, 2GiB"
#: ../../getting_started/install/deploy.rst:363
#: 5f579fac7df54a338dc3c8a348bc90ea
#: ../../getting_started/install/deploy.rst:358
#: bead617b5af943dab0bc1209823d3c22
msgid "llama_cpp_prefer_cpu"
msgstr ""
#: ../../getting_started/install/deploy.rst:364
#: 8413a349be174d50991653a5554933c5
#: ../../getting_started/install/deploy.rst:359
#: 8efb44f1cfc54b1a8b3ca8ea138113ee
msgid "False"
msgstr ""
#: ../../getting_started/install/deploy.rst:365
#: 78af815bd0724301870ef934d27b208d
#: ../../getting_started/install/deploy.rst:360
#: b854e6a44c8348ceb72ac382b73ceec5
msgid ""
"If a GPU is available, it will be preferred by default, unless "
"prefer_cpu=False is configured."
msgstr "如果有可用的GPU默认情况下会优先使用GPU除非配置了 prefer_cpu=False。"
#: ../../getting_started/install/deploy.rst:368
#: f193ef95a45f42d2a5e156a79ed09685
#: ../../getting_started/install/deploy.rst:363
#: 41b0440eb0074e5fa8c87dd404efe0ce
msgid "vllm"
msgstr ""
#: ../../getting_started/install/deploy.rst:370
#: e28e1d550515498e8e41a2e1187f9956
#: ../../getting_started/install/deploy.rst:365
#: 6fc445675bf74b2ea2fe0c7f2a64db69
msgid "vLLM is a fast and easy-to-use library for LLM inference and serving."
msgstr "\"vLLM 是一个快速且易于使用的 LLM 推理和服务的库。"
#: ../../getting_started/install/deploy.rst:372
#: adbcb8083c274d5eae4209b5b4fb8048
#: ../../getting_started/install/deploy.rst:367
#: aab5f913d29445c4b345180b8793ebc7
msgid "**Running vLLM**"
msgstr "**运行vLLM**"
#: ../../getting_started/install/deploy.rst:374
#: 188e0fb1d0d34fccb15a796707ca95dd
#: ../../getting_started/install/deploy.rst:369
#: a9560d697821404cb0abdabf9f479645
msgid "**1.Installing Dependencies**"
msgstr "**1.安装依赖**"
#: ../../getting_started/install/deploy.rst:376
#: dbfcdd5d0e2a4cb29692022e63766116
#: ../../getting_started/install/deploy.rst:371
#: b008224d4f314e5c988335262c95a42e
msgid ""
"vLLM is an optional dependency in DB-GPT, and you can manually install it"
" using the following command:"
msgstr "vLLM 在 DB-GPT 是一个可选依赖, 你可以使用下面的命令手动安装它:"
#: ../../getting_started/install/deploy.rst:382
#: 4401138d25b34b028c4bf43ddfb89aa3
#: ../../getting_started/install/deploy.rst:377
#: 7dc0c8e996124177935a4e0d9ef19837
msgid "**2.Modifying the Configuration File**"
msgstr "**2.修改配置文件**"
#: ../../getting_started/install/deploy.rst:384
#: ee0ad8661dce4b909b07df4773150ee6
#: ../../getting_started/install/deploy.rst:379
#: 49667576b44c46bf87d5bf4d207dd63a
msgid "Next, you can directly modify your .env file to enable vllm."
msgstr "你可以直接修改你的 `.env` 文件"
#: ../../getting_started/install/deploy.rst:391
#: 1be59f77d774429b9959bf834871a414
#: ../../getting_started/install/deploy.rst:386
#: f16a78f0ee6545babab0d66f12654c0a
msgid ""
"You can view the models supported by vLLM `here "
"<https://vllm.readthedocs.io/en/latest/models/supported_models.html"
"#supported-models>`_"
msgstr "你可以在 "
msgstr ""
"你可以在 "
"[这里](https://vllm.readthedocs.io/en/latest/models/supported_models.html"
"#supported-models) 查看 vLLM 支持的模型。"
#: ../../getting_started/install/deploy.rst:400
#: def3d7d7cd03407d9dfeff2e1eee951e
#: ../../getting_started/install/deploy.rst:395
#: f7ae366723e9494d8177eeb963ba0ed9
msgid "3.Prepare sql example(Optional)"
msgstr "3.准备 sql example(可选)"
#: ../../getting_started/install/deploy.rst:401
#: b6038f79dac74fda8f6db08325bf0686
#: ../../getting_started/install/deploy.rst:396
#: d302aac8ddb346598fc9d73e0f6c2cbc
msgid "**(Optional) load examples into SQLite**"
msgstr "**(可选) load examples into SQLite**"
#: ../../getting_started/install/deploy.rst:408
#: 37c84b22186b48baba5aca60f8a70f49
#: ../../getting_started/install/deploy.rst:403
#: ae2a315e40854f27a074f2c0f2506014
msgid "On windows platform:"
msgstr ""
#: ../../getting_started/install/deploy.rst:415
#: 09c9508bac8a4330931d45d02c33762f
#: ../../getting_started/install/deploy.rst:410
#: 36b4b7a813844af3a4ec8062b39059a3
msgid "4.Run db-gpt server"
msgstr "4.运行db-gpt server"
#: ../../getting_started/install/deploy.rst:421
#: 04d68abe85a646388956cbd1b47f3232
#: ../../getting_started/install/deploy.rst:416
#: e56f15e563484027b7efb2147c9b71a7
msgid "**Open http://localhost:5000 with your browser to see the product.**"
msgstr "打开浏览器访问http://localhost:5000"
#~ msgid ""
#~ "DB-GPT can be deployed on servers"
#~ " with low hardware requirements or on"
#~ " servers with high hardware requirements."
#~ " You can install DB-GPT by "
#~ "Using third-part LLM REST API "
#~ "Service OpenAI, Azure."
#~ msgstr ""
#~ msgid ""
#~ "And you can also install DB-GPT"
#~ " by deploy LLM Service by download"
#~ " LLM model."
#~ msgstr ""

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 0.3.0\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-06-14 21:47+0800\n"
"POT-Creation-Date: 2023-11-03 15:25+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -19,11 +19,11 @@ msgstr ""
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"
#: ../../modules/plugins.md:1 8e0200134cca45b6aead6d05b60ca95a
#: ../../modules/plugins.md:1 e8c539b65ccd459793e8ed3812903578
msgid "Plugins"
msgstr "插件"
#: ../../modules/plugins.md:3 d0d532cfe9b44fa0916d7d5b912a744a
#: ../../modules/plugins.md:3 0d6f6bdcf843416fb35d9f51df52bead
msgid ""
"The ability of Agent and Plugin is the core of whether large models can "
"be automated. In this project, we natively support the plugin mode, and "
@ -35,49 +35,56 @@ msgstr ""
"Agent与插件能力是大模型能否自动化的核心在本的项目中原生支持插件模式大模型可以自动化完成目标。 同时为了充分发挥社区的优势"
"本项目中所用的插件原生支持Auto-GPT插件生态即Auto-GPT的插件可以直接在我们的项目中运行。"
#: ../../modules/plugins.md:5 2f78a6b397a24f34b0d5771ca93efb0b
#: ../../modules/plugins.md:6 625763bc41fe417c8e4ea03ab2f8fdfc
msgid ""
"The LLM (Language Model) suitable for the Plugin scene is * "
"chatgpt3.5. * chatgpt4."
msgstr "Plugin场景适用的LLM是 * "
"chatgpt3.5. * chatgpt4."
#: ../../modules/plugins.md:11 8c539e139f6648b2bef5dc683b8e093c
#, fuzzy
msgid "Local Plugins"
msgstr "插件"
#: ../../modules/plugins.md:7 54a817a638c3440989191b3bffaca6de
#: ../../modules/plugins.md:13 2cc7ba992d524913b3377cad3bf747d3
msgid "1.1 How to write local plugins."
msgstr ""
#: ../../modules/plugins.md:9 fbdc0a9d327f432aa6a380117dfb2f11
#: ../../modules/plugins.md:15 eddffc1d2c434e45890a9befa1bb5160
msgid ""
"Local plugins use the Auto-GPT plugin template. A simple example is as "
"follows: first write a plugin file called \"sql_executor.py\"."
msgstr ""
#: ../../modules/plugins.md:39 dc398ab427bd4d15b3b7c8cb1ff032b3
#: ../../modules/plugins.md:45 06efbea552bb4dc7828d842b779e41d4
msgid ""
"Then set the \"can_handle_post_prompt\" method of the plugin template to "
"True. In the \"post_prompt\" method, write the prompt information and the"
" mapped plugin function."
msgstr ""
#: ../../modules/plugins.md:81 c9d4019392bf452e906057cbe9271005
#: ../../modules/plugins.md:87 afd3cfb379bb463e97e515ae65790830
msgid "1.2 How to use local plugins"
msgstr ""
#: ../../modules/plugins.md:83 9beaed4a71124ecf9544a1dba0d1e722
#: ../../modules/plugins.md:89 f43a70e4cb5c4846a5bb8df3853021ba
msgid ""
"Pack your plugin project into `your-plugin.zip` and place it in the "
"`/plugins/` directory of the DB-GPT project. After starting the "
"webserver, you can select and use it in the `Plugin Model` section."
msgstr ""
#: ../../modules/plugins.md:86 9a1439c883a947d7acac3fd1196b3c1e
#: ../../modules/plugins.md:92 8269458bd7f5480dbc56100865eb1eb0
#, fuzzy
msgid "Public Plugins"
msgstr "插件"
#: ../../modules/plugins.md:88 2ed4c509bf5848adb3fa163752a1cfa1
#: ../../modules/plugins.md:94 ec5bb7b6b2cf464d8b8400f3dfd9a50e
msgid "1.1 How to use public plugins"
msgstr ""
#: ../../modules/plugins.md:90 dd5ba8d582204b2f89ce802a1232b11d
#: ../../modules/plugins.md:96 3025a85c905c49b6b2ac3f5c39c84c93
msgid ""
"By default, after launching the webserver, plugins from the public plugin"
" library `DB-GPT-Plugins` will be automatically loaded. For more details,"
@ -85,17 +92,17 @@ msgid ""
"Plugins)"
msgstr ""
#: ../../modules/plugins.md:92 244f0591bc5045eab175754521b414c4
#: ../../modules/plugins.md:98 e73d7779df254ba49fe7123ce06353aa
msgid "1.2 Contribute to the DB-GPT-Plugins repository"
msgstr ""
#: ../../modules/plugins.md:94 e00bac1a299b46caa19b9cf16709d6ba
#: ../../modules/plugins.md:100 3297fb00dfc940e8a614c3858640cfe5
msgid ""
"Please refer to the plugin development process in the public plugin "
"library, and put the configuration parameters in `.plugin_env`"
msgstr ""
#: ../../modules/plugins.md:96 315fbf576ea24158adc7b564f53940e0
#: ../../modules/plugins.md:102 13280b270b304e139ed67e5b0dafa5b4
msgid ""
"We warmly welcome everyone to contribute plugins to the public plugin "
"library!"

View File

@ -2,6 +2,11 @@
The ability of Agent and Plugin is the core of whether large models can be automated. In this project, we natively support the plugin mode, and large models can automatically achieve their goals. At the same time, in order to give full play to the advantages of the community, the plugins used in this project natively support the Auto-GPT plugin ecology, that is, Auto-GPT plugins can directly run in our project.
```{admonition} The LLM (Language Model) suitable for the Plugin scene is
* chatgpt3.5.
* chatgpt4.
```
## Local Plugins
### 1.1 How to write local plugins.

View File

@ -469,7 +469,7 @@ init_install_requires()
setuptools.setup(
name="db-gpt",
packages=find_packages(exclude=("tests", "*.tests", "*.tests.*", "examples")),
version="0.4.0",
version="0.4.1",
author="csunny",
author_email="cfqcsunny@gmail.com",
description="DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment."