Package: openagent-dev
⚙️ InstallationOpen a terminal and run (Requires Python 3.7+):pipinstallnextpy🥳 Create your first appInstallingnextpyalso installs thenextpycommand line tool.Test that the install was successful by creating a new project. (Replacemy_app_namewith your project name):mkdirmy_app_namecdmy_app_name
nextpyinitThis command initializes a boilerplate app in your new directory.You can run this app in development mode:nextpyrunYou should see your app running athttp://localhost:3000.Now you can modify the source code inmy_app_name/my_app_name.py. Nextpy has fast refreshes so you can see your changes instantly when you save your code.🫧 Example AppLet's go over an example: creating an image generation UI around DALL·E. For simplicity, we just call the OpenAI API, but you could replace this with an ML model run locally.Here is the complete code to create this. This is all done in one Python file!importnextpyasxtimportopenaiopenai.api_key="YOUR_API_KEY"classState(xt.State):"""The app state."""prompt=""image_url=""processing=Falsecomplete=Falsedefget_image(self):"""Get the image from the prompt."""ifself.prompt=="":returnxt.window_alert("Prompt Empty")self.processing,self.complete=True,Falseyieldresponse=openai.Image.create(prompt=self.prompt,n=1,size="1024x1024")self.image_url=response["data"][0]["url"]self.processing,self.complete=False,Truedefindex():returnxt.center(xt.vstack(xt.heading("DALL·E"),xt.input(placeholder="Enter a prompt",on_blur=State.set_prompt),xt.button("Generate Image",on_click=State.get_image,is_loading=State.processing,width="100%",),xt.cond(State.complete,xt.image(src=State.image_url,height="25em",width="25em",)),padding="2em",shadow="lg",border_radius="lg",),width="100%",height="100vh",)# Add state and page to the app.app=xt.App()app.add_page(index,title="nextpy:DALL·E")app.compile()Let's break this down.Nextpy UILet's start with the UI.defindex():returnxt.center(...)Thisindexfunction defines the frontend of the app.We use different components such ascenter,vstack,input, andbuttonto build the frontend. Components can be nested within each other
to create complex layouts. And you can use keyword args to style them with the full power of CSS.StateNextpy represents your UI as a function of your state.classState(xt.State):"""The app state."""prompt=""image_url=""processing=Falsecomplete=FalseThe state defines all the variables (called vars) in an app that can change and the functions that change them.Here the state is comprised of apromptandimage_url. There are also the booleansprocessingandcompleteto indicate when to show the circular progress and image.Event Handlersdefget_image(self):"""Get the image from the prompt."""ifself.prompt=="":returnxt.window_alert("Prompt Empty")self.processing,self.complete=True,Falseyieldresponse=openai.Image.create(prompt=self.prompt,n=1,size="1024x1024")self.image_url=response["data"][0]["url"]self.processing,self.complete=False,TrueWithin the state, we define functions called event handlers that change the state vars. Event handlers are the way that we can modify the state in Nextpy. They can be called in response to user actions, such as clicking a button or typing in a text box. These actions are called events.Our DALL·E. app has an event handler,get_imageto which get this image from the OpenAI API. Usingyieldin the middle of an event handler will cause the UI to update. Otherwise the UI will update at the end of the event handler.RoutingFinally, we define our app.app=xt.App()We add a page from the root of the app to the index component. We also add a title that will show up in the page preview/browser tab.app.add_page(index,title="DALL-E")app.compile()You can create a multi-page app by adding more pages.