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Groq API

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GROQ API聊天助理

GROQ API聊天助手是一种使用GROQ API创建聊天助手的工具，能够生成对用户查询或提示的响应。它利用大型语言模型（LLMS）提供信息性和上下文相关的答案，使其适用于各种应用程序，例如客户支持，信息检索和对话界面。

安装

要运行此项目，您需要安装必要的依赖项。在COLAB笔记本中运行以下命令：

 ! pip install -q -U langchain langchain_core langchain_groq gradio

入门：

要使用此笔记本，您将需要以下内容：

Python 3.6+
Google Colab帐户
GROQ API键（您可以在Groq.ai上注册一个免费帐户）

用法

1。初始化模型：

 from google . colab import userdata
groq_api_key = userdata . get ( 'GROQ_API_KEY' )

from langchain_groq import ChatGroq

chat = ChatGroq (
    api_key = groq_api_key ,
    model_name = "mixtral-8x7b-32768"
)

2。创建一个链：

 from langchain_core . output_parsers import StrOutputParser

chain = prompt | chat | StrOutputParser ()

response = chain . invoke ({ "text" : "Why is the sky blue?" })
print ( response )

3。构建一个应用程序：

 import gradio as gr

def fetch_response ( user_input ):
    chat = ChatGroq (
        api_key = groq_api_key ,
        model_name = "mixtral-8x7b-32768"
    )
    system = "You are a helpful assistant."
    human = "{text}"

    prompt = ChatPromptTemplate . from_messages (
        [
            ( "system" , system ), ( "human" , human )
        ]
    )
    chain = prompt | chat | StrOutputParser ()
    output = chain . invoke ({ "text" : user_input })
    return output

user_input = "Why is the sky blue?"

fetch_response ( user_input )

4。创建一个接口：

 iface = gr . Interface (
    fn = fetch_response ,
    inputs = "text" ,
    outputs = "text" ,
    title = "Groq Chatbot" ,
    description = "Ask a question and get a response."
)

iface . launch ()