streamlit is an open-source python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. you can build and deploy powerful data apps in just a few minutes. for more information, see streamlit documentation . ...
streamlit is an open-source python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. in just a few minutes you can build and deploy powerful data apps. for more information, see streamlit documentation stream...
Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including theGPT-3,CodexandEmbeddingsmodel series. In addition, the newGPT-4andChatGPTmodel series have now reached general availability. These models can be easily adapted to your spe...
Streamlit component that allows you to run JS code with both blocking and non-blocking modes. The package is based on thestreamlit-javascript. The main difference is that the package above doesn't allow distinguishing if the JS code is executed or not in all situations (e.g. when the code...
First, follow the steps in the Server section above to start a local server. Then, in another terminal, launch the interface. Running the following will open a tab in your browser. streamlit run torchchat/usages/browser.py Use the "Max Response Tokens" slider to limit the maximum number ...
First, follow the steps in the Server section above to start a local server. Then, in another terminal, launch the interface. Running the following will open a tab in your browser. streamlit run torchchat/usages/browser.py Use the "Max Response Tokens" slider to limit the maximum number of...
First, follow the steps in the Server section above to start a local server. Then, in another terminal, launch the interface. Running the following will open a tab in your browser. streamlit run torchchat/usages/browser.py Use the "Max Response Tokens" slider to limit the maximum number of...
First, follow the steps in the Server section above to start a local server. Then, in another terminal, launch the interface. Running the following will open a tab in your browser.streamlit run torchchat/usages/browser.py Use the "Max Response Tokens" slider to limit the maximum number of...
streamlit run torchchat.py -- browser llama3 Server Note: This feature is still a work in progress and not all endpoints are working This mode gives a REST API that matches the OpenAI API spec for interacting with a model To test out the REST API, you'll need 2 terminals: one to...
这里使用Streamlit来实现,Streamlit是一个开源的Python库,可以用来快速构建和部署数据应用程序。它的核心是一个Python库,可以让你在几分钟内创建一个数据应用程序,而无需编写任何HTML或JavaScript。 闲话少说,根据官方文档,把各种模型推断参数包装到streamlit.slider里,供页面调试修改,并在提交按钮后调用模型推断。