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J
Joel Leigh

AI Chat Application Development

Clone & Customize via AI

The MudBlazor Chat UI implements a conversational assistant layout with MudTextField binding and a MudSelect model switch. It shows a welcome state, notification card, message list, and a fixed input composer.

● LIVE DEMO
Generated using Instruct UI - An AI for Blazor UI Generation
## What's implemented - Welcome screen with action chips and a dismissible notification card. - Conversational message list rendering user and AI messages with distinct styling. - Fixed bottom composer using MudTextField for input, MudSelect for model choice, and icon actions. - Enter-to-send behavior, simulated AI reply generation, and a thinking/loading indicator. ## Key components - MudAppBar, MudContainer, MudPaper, MudCard - MudText, MudTextField, MudSelect, MudButton, MudIconButton - MudAvatar, MudChip, MudSpacer ## How it works - Messages are stored in a List<ChatMessageModel> and rendered with a foreach; an initial greeting is added in OnInitialized. - The composer uses @bind-Value on MudTextField (_composer) demonstrating MudTextField binding and a KeyDown handler (HandleKeyDown) to call SendMessage on Enter. - MudSelect binds to ChatSettingsModel.SelectedModel to demonstrate a MudSelect model switch for changing models. - SendMessage appends a user ChatMessageModel, sets _isThinking, awaits a delay to simulate processing, then appends an AI reply from GenerateSimulatedReply; StateHasChanged triggers UI updates. - ISnackbar is injected (ISnackbar Snackbar) but not used in the sample code. ## Styling - Uses MudBlazor components with a custom dark theme in app.css that overrides Mud classes (.mud-theme-dark, .mud-appbar). - Custom CSS implements centered welcome layout, rounded action buttons, notification card, and a fixed bottom input composer. - Responsive rules included via media queries to adjust typography and spacing on small screens. ## Reuse steps 1. Install MudBlazor NuGet and register services (e.g., builder.Services.AddMudServices()) in Program.cs. 2. Import MudBlazor namespace and include the provided app.css in the app's host file (index.html or _Host.cshtml). 3. Copy ChatMessageModel and ChatSettingsModel or map to existing domain models. 4. Replace GenerateSimulatedReply and Task.Delay with a real AI or messaging service; handle errors and use ISnackbar for notifications. 5. Add persistence or SignalR for multi-user message sync and consider streaming responses. ## Limitations & next steps - Single-page sample generated by Instruct UI: no authentication, backend, or persistent storage is implemented. - Simulated responses are synchronous and randomized; replace with real API calls for production. - Accessibility, input validation, message persistence, streaming, and audio handling are not implemented and require additional wiring.