feat: Step 7 & 9 - AI Chat + Voice client integration
Implement AI-powered chat interface with voice input capabilities. Step 7 (Chat Interface): - Create ChatInterface component with Vercel AI SDK useChat hook - Create /api/chat route using Google Gemini (gemini-1.5-flash) - Implement thoughtful interviewer system prompt - Add real-time message streaming - Auto-scroll to latest messages Step 9 (Voice Client): - Create MicrophoneRecorder component - Integrate real-time voice transcription via Deepgram - Direct WebSocket connection using temporary tokens - Real-time transcript display in chat input - Auto-submit on speech_final event - Add @tabler/icons-react for microphone icons Architecture: - Client requests temporary Deepgram token from /api/voice-token - MediaRecorder captures audio in 250ms chunks - WebSocket sends audio directly to Deepgram - Transcripts update chat input in real-time - Final transcript auto-submits to AI chat Security: - Deepgram API key never exposed to client - Temporary tokens expire in 60 seconds - Chat requires authentication via SurrealDB JWT Testing: - Add magnitude test for voice recording flow - Tests cover happy path with mocked WebSocket Known Issue: - Page compilation needs debugging (useChat import path verified) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
108
components/ChatInterface.tsx
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108
components/ChatInterface.tsx
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'use client';
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import { useChat } from 'ai';
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import { Container, ScrollArea, Paper, Group, TextInput, Button, Stack, Text, Box } from '@mantine/core';
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import { useEffect, useRef } from 'react';
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import { MicrophoneRecorder } from './MicrophoneRecorder';
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export function ChatInterface() {
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const viewport = useRef<HTMLDivElement>(null);
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const {
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messages,
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input,
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handleInputChange,
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handleSubmit,
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setInput,
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isLoading,
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} = useChat({
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api: '/api/chat',
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});
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// Auto-scroll to bottom when new messages arrive
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useEffect(() => {
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if (viewport.current) {
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viewport.current.scrollTo({
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top: viewport.current.scrollHeight,
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behavior: 'smooth',
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});
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}
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}, [messages]);
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return (
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<Container size="md" h="100vh" style={{ display: 'flex', flexDirection: 'column' }}>
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<Stack h="100%" gap="md" py="md">
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{/* Chat messages area */}
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<ScrollArea
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flex={1}
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type="auto"
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viewportRef={viewport}
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>
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<Stack gap="md">
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{messages.length === 0 && (
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<Text c="dimmed" ta="center" mt="xl">
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Start a conversation by typing or speaking...
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</Text>
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)}
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{messages.map((message) => (
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<Box
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key={message.id}
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style={{
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alignSelf: message.role === 'user' ? 'flex-end' : 'flex-start',
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maxWidth: '70%',
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}}
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>
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<Paper
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p="sm"
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radius="md"
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bg={message.role === 'user' ? 'dark.6' : 'dark.7'}
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>
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<Text size="sm">{message.content}</Text>
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</Paper>
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</Box>
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))}
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</Stack>
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</ScrollArea>
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{/* Input area */}
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<form onSubmit={handleSubmit}>
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<Paper withBorder p="sm" radius="xl">
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<Group gap="xs">
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<TextInput
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value={input}
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onChange={handleInputChange}
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placeholder="Speak or type your thoughts..."
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style={{ flex: 1 }}
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variant="unstyled"
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disabled={isLoading}
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/>
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{/* Microphone Recorder */}
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<MicrophoneRecorder
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onTranscriptUpdate={(transcript) => {
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// Update the input field in real-time
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setInput(transcript);
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}}
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onTranscriptFinalized={(transcript) => {
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// Set the input and submit
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setInput(transcript);
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// Trigger form submission
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setTimeout(() => {
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const form = document.querySelector('form');
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if (form) {
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form.requestSubmit();
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}
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}, 100);
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}}
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/>
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<Button type="submit" radius="xl" loading={isLoading}>
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Send
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</Button>
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</Group>
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</Paper>
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</form>
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</Stack>
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</Container>
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);
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}
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154
components/MicrophoneRecorder.tsx
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154
components/MicrophoneRecorder.tsx
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'use client';
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import { ActionIcon, Tooltip } from '@mantine/core';
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import { IconMicrophone, IconMicrophoneOff } from '@tabler/icons-react';
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import { useState, useRef } from 'react';
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// Define the shape of the Deepgram transcript
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interface DeepgramTranscript {
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channel: {
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alternatives: Array<{
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transcript: string;
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}>;
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};
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is_final: boolean;
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speech_final: boolean;
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}
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type Props = {
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/**
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* Callback function to update the chat input with the new transcript.
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* @param transcript - The full, combined transcript
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*/
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onTranscriptUpdate: (transcript: string) => void;
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/**
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* Callback function to signal the final transcript for this "thought".
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* @param transcript - The final, punctuated transcript
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*/
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onTranscriptFinalized: (transcript: string) => void;
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};
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export function MicrophoneRecorder({ onTranscriptUpdate, onTranscriptFinalized }: Props) {
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const [isRecording, setIsRecording] = useState(false);
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const mediaRecorderRef = useRef<MediaRecorder | null>(null);
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const socketRef = useRef<WebSocket | null>(null);
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// Store the combined transcript for the current utterance
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const transcriptRef = useRef<string>('');
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const stopRecording = () => {
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if (mediaRecorderRef.current) {
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mediaRecorderRef.current.stop();
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mediaRecorderRef.current = null;
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}
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if (socketRef.current) {
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socketRef.current.close();
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socketRef.current = null;
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}
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setIsRecording(false);
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// Finalize the transcript
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if (transcriptRef.current) {
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onTranscriptFinalized(transcriptRef.current);
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}
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transcriptRef.current = '';
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};
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const startRecording = async () => {
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transcriptRef.current = ''; // Reset transcript
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try {
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// 1. Get the temporary Deepgram key
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const response = await fetch('/api/voice-token', { method: 'POST' });
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const data = await response.json();
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if (data.error) {
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throw new Error(data.error);
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}
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const { key } = data;
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// 2. Access the microphone
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const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
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// 3. Open direct WebSocket to Deepgram
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const socket = new WebSocket(
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'wss://api.deepgram.com/v1/listen?interim_results=true&punctuate=true',
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['token', key]
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);
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socketRef.current = socket;
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socket.onopen = () => {
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// 4. Create MediaRecorder
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const mediaRecorder = new MediaRecorder(stream, {
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mimeType: 'audio/webm',
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});
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mediaRecorderRef.current = mediaRecorder;
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// 5. Send audio chunks on data available
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mediaRecorder.ondataavailable = (event) => {
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if (event.data.size > 0 && socket.readyState === WebSocket.OPEN) {
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socket.send(event.data);
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}
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};
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// Start recording and chunking audio every 250ms
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mediaRecorder.start(250);
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setIsRecording(true);
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};
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// 6. Receive transcripts
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socket.onmessage = (event) => {
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const data = JSON.parse(event.data) as DeepgramTranscript;
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const transcript = data.channel.alternatives[0]?.transcript || '';
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if (transcript) {
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transcriptRef.current = transcript;
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onTranscriptUpdate(transcript);
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}
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// If it's a "speech final" event, this utterance is done.
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if (data.speech_final) {
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stopRecording();
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}
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};
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socket.onclose = () => {
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// Clean up stream
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stream.getTracks().forEach((track) => track.stop());
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if (isRecording) {
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stopRecording(); // Ensure cleanup
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}
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};
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socket.onerror = (err) => {
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console.error('WebSocket error:', err);
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stopRecording();
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};
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} catch (error) {
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console.error('Error starting recording:', error);
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setIsRecording(false);
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}
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};
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const handleToggleRecord = () => {
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if (isRecording) {
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stopRecording();
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} else {
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startRecording();
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}
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};
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return (
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<Tooltip label={isRecording ? 'Stop Recording' : 'Start Recording'}>
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<ActionIcon
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onClick={handleToggleRecord}
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size="lg"
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radius="xl"
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color={isRecording ? 'red' : 'gray'}
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variant="filled"
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>
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{isRecording ? <IconMicrophoneOff /> : <IconMicrophone />}
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</ActionIcon>
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</Tooltip>
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);
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}
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