natural-language-processingpillownltktext-summarizationgoogle-text-to-speechtext-to-imageduckduckgo-searchgoogle-speech-recognitionstreamlit-webapphuggingface-modelsgenerative-ailangchainjina-chat UpdatedAug 12, 2023 Python Unlock the sonic potential of your visual brand identity with BrandVision. Our innovative...
A voice-enabled chatbot application built using of 🦜️🔗 LangChain, text-to-speech, and speech-to-text models from 🤗 Hugging Face, and 🍱 BentoML. - ssheng/BentoChain
大模型落地企业应用实战:大模型助力TextToSQL应用实战自然语言轻松生成SQL语句并执行不懂代码也可以轻松搞定数据分析, 视频播放量 14343、弹幕量 14、点赞数 213、投硬币枚数 109、收藏人数 864、转发人数 183, 视频作者 但问智能, 作者简介 大模型落地企业应用|性能测试|
Text-to-SQL(简写为T2S,或者是Text2SQL),顾名思义就是把文本转化为SQL语言,更学术一点的定义是:把数据库领域下的自然语言(Natural Language,简写为NL)问题,转化为在关系型数据库中可以执行的结构化查询语言(Structured Query Language,简写为SQL),因此T2S也可以被简写为NL2SQL。一般数据的获取,都是由开发人员或...
To create apublic link, set `share=True` in `launch()` 打开webui 界面 加载模型,TheBloke_Llama-2-13B-chat-GPTQ_gptq-4bit-32g-actorder_True, 下载地址参考:TheBloke (Tom Jobbins) langchain 中调用 api import langchain from langchain import PromptTemplate, LLMChain ...
pip install --upgrade --quiet langchain-openai faiss-cpu 编写代码 from langchain_openai import OpenAIEmbeddings from langchain.storage import LocalFileStore from langchain_community.document_loaders import TextLoader from langchain_community.vectorstores import FAISS from langchain_text_splitters import ...
Website https://docs.microsoft.com/azure/cognitive-services/speech-service/ Privacy policy https://privacy.microsoft.com Categories AI;Website The Speech service allows you to convert text into synthesized speech and get a list of supported voices for a region by using a REST API. Pre-requisite...
from langchain_text_splitters import MarkdownHeaderTextSplitter markdown_document = "# Foo\n\n ## Bar\n\nHi this is Jim\n\nHi this is Joe\n\n ### Boo \n\n Hi this is Lance \n\n ## Baz\n\n Hi this is Molly" headers_to_split_on = [ ("#", "Header 1"), ("##", "...
pip install langchain_openai langchain最新的版本做了简化,和第三方工具分开了。所以还需要安装: pip install langchain_community 首先我们定义api_key,如果你用的是openai,就不需要这么麻烦,只要定义环境变量就行了: zhipuai_api_key="xxxx" def generate_token(apikey: str, exp_seconds: int): ...
LangChain提供了多种类型的Text Splitters,以满足不同的需求: RecursiveCharacterTextSplitter:基于字符将文本划分,从第一个字符开始。如果结果片段太大,则继续划分下一个字符。这种方式提供了定义划分字符和片段大小的灵活性。 CharacterTextSplitter:类似于RecursiveCharacterTextSplitter,但能够指定自定义分隔符以实现更具体...