Fal Smart Turn example

This commit is contained in:
Mark Backman
2025-04-22 21:16:41 -04:00
parent b91780ced2
commit 69491417ec
52 changed files with 6770 additions and 0 deletions

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import {
useRTVIClient,
useRTVIClientTransportState,
} from '@pipecat-ai/client-react';
export function ConnectButton() {
const client = useRTVIClient();
const transportState = useRTVIClientTransportState();
const isConnected = ['connected', 'ready'].includes(transportState);
const handleClick = async () => {
if (!client) {
console.error('RTVI client is not initialized');
return;
}
try {
if (isConnected) {
await client.disconnect();
} else {
await client.connect();
}
} catch (error) {
console.error('Connection error:', error);
}
};
return (
<div className="controls">
<button
className={isConnected ? 'disconnect-btn' : 'connect-btn'}
onClick={handleClick}
disabled={
!client || ['connecting', 'disconnecting'].includes(transportState)
}>
{isConnected ? 'Disconnect' : 'Connect'}
</button>
</div>
);
}

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.debug-panel {
background-color: #fff;
border-radius: 8px;
padding: 20px;
}
.debug-panel h3 {
margin: 0 0 10px 0;
font-size: 16px;
font-weight: bold;
}
.debug-log {
height: 200px;
overflow-y: auto;
background-color: #f8f8f8;
padding: 10px;
border-radius: 4px;
font-family: monospace;
font-size: 12px;
line-height: 1.4;
}
.debug-log div {
margin-bottom: 4px;
}

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import { useRef, useCallback } from 'react';
import {
Participant,
RTVIEvent,
TransportState,
TranscriptData,
BotLLMTextData,
} from '@pipecat-ai/client-js';
import { useRTVIClient, useRTVIClientEvent } from '@pipecat-ai/client-react';
import './DebugDisplay.css';
interface SmartTurnResultData {
type: 'smart_turn_result';
is_complete: boolean;
probability: number;
inference_time_ms: number; // Pure model inference time
server_total_time_ms: number; // Server processing time
e2e_processing_time_ms: number; // Complete end-to-end time
}
export function DebugDisplay() {
const debugLogRef = useRef<HTMLDivElement>(null);
const client = useRTVIClient();
const log = useCallback((message: string) => {
if (!debugLogRef.current) return;
const entry = document.createElement('div');
entry.textContent = `${new Date().toISOString()} - ${message}`;
// Add styling based on message type
if (message.startsWith('User: ')) {
entry.style.color = '#2196F3'; // blue for user
} else if (message.startsWith('Bot: ')) {
entry.style.color = '#4CAF50'; // green for bot
} else if (message.includes('Smart Turn:')) {
entry.style.color = '#9C27B0'; // purple for smart turn
}
debugLogRef.current.appendChild(entry);
debugLogRef.current.scrollTop = debugLogRef.current.scrollHeight;
}, []);
// Log transport state changes
useRTVIClientEvent(
RTVIEvent.TransportStateChanged,
useCallback(
(state: TransportState) => {
log(`Transport state changed: ${state}`);
},
[log]
)
);
// Log bot connection events
useRTVIClientEvent(
RTVIEvent.BotConnected,
useCallback(
(participant?: Participant) => {
log(`Bot connected: ${JSON.stringify(participant)}`);
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.BotDisconnected,
useCallback(
(participant?: Participant) => {
log(`Bot disconnected: ${JSON.stringify(participant)}`);
},
[log]
)
);
// Log track events
useRTVIClientEvent(
RTVIEvent.TrackStarted,
useCallback(
(track: MediaStreamTrack, participant?: Participant) => {
log(
`Track started: ${track.kind} from ${participant?.name || 'unknown'}`
);
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.TrackStopped,
useCallback(
(track: MediaStreamTrack, participant?: Participant) => {
log(
`Track stopped: ${track.kind} from ${participant?.name || 'unknown'}`
);
},
[log]
)
);
// Log bot ready state and check tracks
useRTVIClientEvent(
RTVIEvent.BotReady,
useCallback(() => {
log(`Bot ready`);
if (!client) return;
const tracks = client.tracks();
log(
`Available tracks: ${JSON.stringify({
local: {
audio: !!tracks.local.audio,
video: !!tracks.local.video,
},
bot: {
audio: !!tracks.bot?.audio,
video: !!tracks.bot?.video,
},
})}`
);
}, [client, log])
);
// Log transcripts
useRTVIClientEvent(
RTVIEvent.UserTranscript,
useCallback(
(data: TranscriptData) => {
// Only log final transcripts
if (data.final) {
log(`User: ${data.text}`);
}
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.BotTranscript,
useCallback(
(data: BotLLMTextData) => {
log(`Bot: ${data.text}`);
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.ServerMessage,
useCallback(
(data: SmartTurnResultData) => {
log(
`Smart Turn:
${data.is_complete ? 'COMPLETE' : 'INCOMPLETE'},
Probability: ${(data.probability * 100).toFixed(1)}%,
Model inference: ${data.inference_time_ms?.toFixed(2) || 'N/A'}ms,
Server processing: ${data.server_total_time_ms?.toFixed(2) || 'N/A'}ms,
End-to-end: ${data.e2e_processing_time_ms?.toFixed(2) || 'N/A'}ms`
);
},
[log]
)
);
return (
<div className="debug-panel">
<h3>Debug Info</h3>
<div ref={debugLogRef} className="debug-log" />
</div>
);
}

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import { useRTVIClientTransportState } from '@pipecat-ai/client-react';
export function StatusDisplay() {
const transportState = useRTVIClientTransportState();
return (
<div className="status">
Status: <span>{transportState}</span>
</div>
);
}