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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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Jael Gu 2 years ago
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      README.md

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README.md

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# 文心一言
# Ernie Bot 文心一言
*author: Jael* *author: Jael*
<br /> <br />
## Description
## Description 描述
A LLM operator generates answer given prompt in messages using a large language model or service. A LLM operator generates answer given prompt in messages using a large language model or service.
This operator is implemented with Ernie Bot from [Baidu](https://cloud.baidu.com/wenxin.html). This operator is implemented with Ernie Bot from [Baidu](https://cloud.baidu.com/wenxin.html).
Please note you will need [Ernie API key & Secret key](https://ai.baidu.com/ai-doc/REFERENCE/Lkru0zoz4) to access the service. Please note you will need [Ernie API key & Secret key](https://ai.baidu.com/ai-doc/REFERENCE/Lkru0zoz4) to access the service.
<br />
LLM 算子使用大语言模型或服务,为输入的问题或提示生成答案。LLM/Ernie 利用了来自百度的[文心一言](https://cloud.baidu.com/wenxin.html)。请注意,您需要[文心一言服务的 API Key 和 Secret Key](https://ai.baidu.com/ai-doc/REFERENCE/Lkru0zoz4)才能访问该服务。
## Code Example
<br />
Use the default model to continue the conversation from given messages.
## Code Example 代码示例
*Write a pipeline with explicit inputs/outputs name specifications:* *Write a pipeline with explicit inputs/outputs name specifications:*
@ -24,7 +24,7 @@ from towhee import pipe, ops
p = ( p = (
pipe.input('messages') pipe.input('messages')
.map('messages', 'answer', ops.LLM.Ernie(api_key=ERNIE_API_KEY, secret_key=ERNIE_SECRET_KEY)) .map('messages', 'answer', ops.LLM.Ernie(api_key=ERNIE_API_KEY, secret_key=ERNIE_SECRET_KEY))
.output('messages', 'answer')
.output('answer')
) )
messages=[ messages=[
@ -36,7 +36,7 @@ answer = p(messages).get()[0]
<br /> <br />
## Factory Constructor
## Factory Constructor 接口说明
Create the operator via the following factory method: Create the operator via the following factory method:
@ -59,7 +59,7 @@ Other OpenAI parameters such as temperature, etc.
<br /> <br />
## Interface
## Interface 使用说明
The operator takes a piece of text in string as input. The operator takes a piece of text in string as input.
It returns answer in json. It returns answer in json.

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