# Step 1: image to text!pipinstalltransformers-q!pipinstallopenai-qfromtransformersimportpipeline## Define the function of image-to-textdefimage2text(img_url):imagetotext=pipeline("image-to-text",model="Salesforce/blip-image-captioning-large")text=imagetotext(img_url)[0]["generated_text"]pri...
image_caption = caption(image_url) print(image_caption) 要先安装transformers等库:!pip install --upgrade transformers 有了transformers 库,要使用Salesforce/blip-image-captioning-large模型,只需要这一句: pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large") (第一次执行会...
Tool.from_function(func=prompt_generate,name="提示词生成",description="生成图片需要对应的英文提示词,当前工具可以将输入转换为英文提示词,以便方便生成",args_schema=PromptGenerateInput),Tool.from_function(func=generate_image,name="图片生成",description="根据提示词生成对应的图片,提示词需要是...
def text_to_image_api(query: str) -> str: "Useful for when you need to generate an image with a prompt." "Input: A detailed text-2-image prompt describing an image" "Output: Image url" # generate random integer values from random import randint body = json.dumps({ "text_p...
另外需要定义用来文生图的工具text_to_image_api。使用了Stable Diffusion XL模型。由于Bedrock在调用Stable Diffusion时会返回编码的图片,需要解码后进行展示,同时,也把图片存到S3上,并且生成了临时的URL方便共享使用。 最后,把以上工具、记忆功能(memory)组装到Langchain Agent中,此处Langchain Agent也使用Anthropic的Cla...
# " The core idea behind the CoOP paper is to model # a prompt's context words with learnable vectors # while keeping the entire pre-trained parameters fixed, # in order to adapt CLIP-like vision-language models for # downstream image recognition tasks." ...
![[Pasted image 20240227101802.png]] 文档加载器 可预知,企业内有各种各样的文档,所以这里抽象一个Document loaders 文档加载器,或者文档解析器。LangChain 提供了 100 多种Document loaders ,另外与该领域的一些商用服务做了集成,例如 AirByte 和 Unstructured。LangChain 也支持了从各种位置(私有 S3 存储桶、网站...
对于网页,Diffbot集成提供了内容的干净提取。对于图像,可能还有其他的集成,例如提供图像标题(ImageCaptionLoader)。文件加载器具有load()方法,该方法从配置的源中加载数据并将其返回为文档。它们还可能具有lazy_load()方法,以便在需要它们时将数据加载到内存中。以下是从文本文件加载数据的文档加载器示例:...
from langchain.llms import Replicatetext2image = Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",input={"image_dimensions": "512x512"},)image_url = text2image("a book cover for a book about creating generative ai applicatio...
What are text-to-image models? What can AI do in other domains? Summary Questions LangChain for LLM Apps Going beyond stochastic parrots What are the limitations of LLMs? How can we mitigate LLM limitations? What is an LLM app? What is LangChain? Exploring key components of LangChai...