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seawolf2357 commited on 24 days ago

Commit

d142e85

verified ·

1 Parent(s): 60f7986

Update app.py

Browse files

Files changed (1) hide show

app.py +813 -55

app.py CHANGED Viewed

@@ -3,7 +3,6 @@ import base64
 import json
 from pathlib import Path
 import os
-import gradio as gr
 import numpy as np
 import openai
 from dotenv import load_dotenv
@@ -18,18 +17,659 @@ from fastrtc import (
 )
 from gradio.utils import get_space
 from openai.types.beta.realtime import ResponseAudioTranscriptDoneEvent
 load_dotenv()
-cur_dir = Path(__file__).parent
 SAMPLE_RATE = 24000
 class OpenAIHandler(AsyncStreamHandler):
-    def __init__(
-        self,
-    ) -> None:
         super().__init__(
             expected_layout="mono",
             output_sample_rate=SAMPLE_RATE,
@@ -38,26 +678,77 @@ class OpenAIHandler(AsyncStreamHandler):
         )
         self.connection = None
         self.output_queue = asyncio.Queue()
     def copy(self):
-        return OpenAIHandler()
-    async def start_up(
-        self,
-    ):
-        """Connect to realtime API. Run forever in separate thread to keep connection open."""
         self.client = openai.AsyncOpenAI()
         async with self.client.beta.realtime.connect(
             model="gpt-4o-mini-realtime-preview-2024-12-17"
         ) as conn:
-            await conn.session.update(
-                session={"turn_detection": {"type": "server_vad"}}
-            )
             self.connection = conn
             async for event in self.connection:
                 if event.type == "response.audio_transcript.done":
                     await self.output_queue.put(AdditionalOutputs(event))
-                if event.type == "response.audio.delta":
                     await self.output_queue.put(
                         (
                             self.output_sample_rate,
@@ -66,6 +757,48 @@ class OpenAIHandler(AsyncStreamHandler):
                             ).reshape(1, -1),
                         ),
                     )
     async def receive(self, frame: tuple[int, np.ndarray]) -> None:
         if not self.connection:
@@ -73,7 +806,7 @@ class OpenAIHandler(AsyncStreamHandler):
         _, array = frame
         array = array.squeeze()
         audio_message = base64.b64encode(array.tobytes()).decode("utf-8")
-        await self.connection.input_audio_buffer.append(audio=audio_message)  # type: ignore
     async def emit(self) -> tuple[int, np.ndarray] | AdditionalOutputs | None:
         return await wait_for_item(self.output_queue)
@@ -84,58 +817,83 @@ class OpenAIHandler(AsyncStreamHandler):
             self.connection = None
-def update_chatbot(chatbot: list[dict], response: ResponseAudioTranscriptDoneEvent):
-    chatbot.append({"role": "assistant", "content": response.transcript})
-    return chatbot
-chatbot = gr.Chatbot(type="messages")
-latest_message = gr.Textbox(type="text", visible=False)
-stream = Stream(
-    OpenAIHandler(),
-    mode="send-receive",
-    modality="audio",
-    additional_inputs=[chatbot],
-    additional_outputs=[chatbot],
-    additional_outputs_handler=update_chatbot,
-    rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
-    concurrency_limit=5 if get_space() else None,
-    time_limit=90 if get_space() else None,
-)
 app = FastAPI()
-stream.mount(app)
-@app.get("/")
-async def _():
-    rtc_config = get_twilio_turn_credentials() if get_space() else None
-    html_content = (cur_dir / "index.html").read_text()
-    html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
-    return HTMLResponse(content=html_content)
 @app.get("/outputs")
-def _(webrtc_id: str):
     async def output_stream():
-        import json
-        async for output in stream.output_stream(webrtc_id):
-            s = json.dumps({"role": "assistant", "content": output.args[0].transcript})
-            yield f"event: output\ndata: {s}\n\n"
     return StreamingResponse(output_stream(), media_type="text/event-stream")
-if __name__ == "__main__":
-    import os
-    if (mode := os.getenv("MODE")) == "UI":
-        stream.ui.launch(server_port=7860)
-    elif mode == "PHONE":
-        stream.fastphone(host="0.0.0.0", port=7860)
-    else:
-        import uvicorn
-        uvicorn.run(app, host="0.0.0.0", port=7860)

 import json
 from pathlib import Path
 import os
 import numpy as np
 import openai
 from dotenv import load_dotenv
 )
 from gradio.utils import get_space
 from openai.types.beta.realtime import ResponseAudioTranscriptDoneEvent
+import httpx
+from typing import Optional, List, Dict
 load_dotenv()
 SAMPLE_RATE = 24000
+# HTML content embedded as a string
+HTML_CONTENT = """<!DOCTYPE html>
+<html lang="ko">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>MOUSE 음성 챗</title>
+    <style>
+        :root {
+            --primary-color: #6f42c1;
+            --secondary-color: #563d7c;
+            --dark-bg: #121212;
+            --card-bg: #1e1e1e;
+            --text-color: #f8f9fa;
+            --border-color: #333;
+            --hover-color: #8a5cf6;
+        }
+        body {
+            font-family: "SF Pro Display", -apple-system, BlinkMacSystemFont, sans-serif;
+            background-color: var(--dark-bg);
+            color: var(--text-color);
+            margin: 0;
+            padding: 0;
+            height: 100vh;
+            display: flex;
+            flex-direction: column;
+            overflow: hidden;
+        }
+        .container {
+            max-width: 900px;
+            margin: 0 auto;
+            padding: 20px;
+            flex-grow: 1;
+            display: flex;
+            flex-direction: column;
+            width: 100%;
+            height: calc(100vh - 40px);
+            box-sizing: border-box;
+        }
+        .header {
+            text-align: center;
+            padding: 20px 0;
+            border-bottom: 1px solid var(--border-color);
+            margin-bottom: 20px;
+            flex-shrink: 0;
+        }
+        .logo {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 10px;
+        }
+        .logo h1 {
+            margin: 0;
+            background: linear-gradient(135deg, var(--primary-color), #a78bfa);
+            -webkit-background-clip: text;
+            background-clip: text;
+            color: transparent;
+            font-size: 32px;
+            letter-spacing: 1px;
+        }
+        /* Web search toggle */
+        .search-toggle {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 10px;
+            margin-top: 15px;
+        }
+        .toggle-switch {
+            position: relative;
+            width: 50px;
+            height: 26px;
+            background-color: #ccc;
+            border-radius: 13px;
+            cursor: pointer;
+            transition: background-color 0.3s;
+        }
+        .toggle-switch.active {
+            background-color: var(--primary-color);
+        }
+        .toggle-slider {
+            position: absolute;
+            top: 3px;
+            left: 3px;
+            width: 20px;
+            height: 20px;
+            background-color: white;
+            border-radius: 50%;
+            transition: transform 0.3s;
+        }
+        .toggle-switch.active .toggle-slider {
+            transform: translateX(24px);
+        }
+        .search-label {
+            font-size: 14px;
+            color: #aaa;
+        }
+        .chat-container {
+            border-radius: 12px;
+            background-color: var(--card-bg);
+            box-shadow: 0 8px 32px rgba(0, 0, 0, 0.2);
+            padding: 20px;
+            flex-grow: 1;
+            display: flex;
+            flex-direction: column;
+            border: 1px solid var(--border-color);
+            overflow: hidden;
+            min-height: 0;
+        }
+        .chat-messages {
+            flex-grow: 1;
+            overflow-y: auto;
+            padding: 10px;
+            scrollbar-width: thin;
+            scrollbar-color: var(--primary-color) var(--card-bg);
+            min-height: 0;
+        }
+        .chat-messages::-webkit-scrollbar {
+            width: 6px;
+        }
+        .chat-messages::-webkit-scrollbar-thumb {
+            background-color: var(--primary-color);
+            border-radius: 6px;
+        }
+        .message {
+            margin-bottom: 20px;
+            padding: 14px;
+            border-radius: 8px;
+            font-size: 16px;
+            line-height: 1.6;
+            position: relative;
+            max-width: 80%;
+            animation: fade-in 0.3s ease-out;
+        }
+        @keyframes fade-in {
+            from {
+                opacity: 0;
+                transform: translateY(10px);
+            }
+            to {
+                opacity: 1;
+                transform: translateY(0);
+            }
+        }
+        .message.user {
+            background: linear-gradient(135deg, #2c3e50, #34495e);
+            margin-left: auto;
+            border-bottom-right-radius: 2px;
+        }
+        .message.assistant {
+            background: linear-gradient(135deg, var(--secondary-color), var(--primary-color));
+            margin-right: auto;
+            border-bottom-left-radius: 2px;
+        }
+        .message.search-result {
+            background: linear-gradient(135deg, #1a5a3e, #2e7d32);
+            font-size: 14px;
+            padding: 10px;
+            margin-bottom: 10px;
+        }
+        .controls {
+            text-align: center;
+            margin-top: 20px;
+            display: flex;
+            justify-content: center;
+            flex-shrink: 0;
+        }
+        button {
+            background: linear-gradient(135deg, var(--primary-color), var(--secondary-color));
+            color: white;
+            border: none;
+            padding: 14px 28px;
+            font-family: inherit;
+            font-size: 16px;
+            cursor: pointer;
+            transition: all 0.3s;
+            text-transform: uppercase;
+            letter-spacing: 1px;
+            border-radius: 50px;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 10px;
+            box-shadow: 0 4px 10px rgba(111, 66, 193, 0.3);
+        }
+        button:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 6px 15px rgba(111, 66, 193, 0.5);
+            background: linear-gradient(135deg, var(--hover-color), var(--primary-color));
+        }
+        button:active {
+            transform: translateY(1px);
+        }
+        #audio-output {
+            display: none;
+        }
+        .icon-with-spinner {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 12px;
+            min-width: 180px;
+        }
+        .spinner {
+            width: 20px;
+            height: 20px;
+            border: 2px solid #ffffff;
+            border-top-color: transparent;
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+            flex-shrink: 0;
+        }
+        @keyframes spin {
+            to {
+                transform: rotate(360deg);
+            }
+        }
+        .audio-visualizer {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 5px;
+            min-width: 80px;
+            height: 25px;
+        }
+        .visualizer-bar {
+            width: 4px;
+            height: 100%;
+            background-color: rgba(255, 255, 255, 0.7);
+            border-radius: 2px;
+            transform-origin: bottom;
+            transform: scaleY(0.1);
+            transition: transform 0.1s ease;
+        }
+        .toast {
+            position: fixed;
+            top: 20px;
+            left: 50%;
+            transform: translateX(-50%);
+            padding: 16px 24px;
+            border-radius: 8px;
+            font-size: 14px;
+            z-index: 1000;
+            display: none;
+            box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);
+        }
+        .toast.error {
+            background-color: #f44336;
+            color: white;
+        }
+        .toast.warning {
+            background-color: #ff9800;
+            color: white;
+        }
+        .status-indicator {
+            display: inline-flex;
+            align-items: center;
+            margin-top: 10px;
+            font-size: 14px;
+            color: #aaa;
+        }
+        .status-dot {
+            width: 8px;
+            height: 8px;
+            border-radius: 50%;
+            margin-right: 8px;
+        }
+        .status-dot.connected {
+            background-color: #4caf50;
+        }
+        .status-dot.disconnected {
+            background-color: #f44336;
+        }
+        .status-dot.connecting {
+            background-color: #ff9800;
+            animation: pulse 1.5s infinite;
+        }
+        @keyframes pulse {
+            0% {
+                opacity: 0.6;
+            }
+            50% {
+                opacity: 1;
+            }
+            100% {
+                opacity: 0.6;
+            }
+        }
+        .mouse-logo {
+            position: relative;
+            width: 40px;
+            height: 40px;
+        }
+        .mouse-ears {
+            position: absolute;
+            width: 15px;
+            height: 15px;
+            background-color: var(--primary-color);
+            border-radius: 50%;
+        }
+        .mouse-ear-left {
+            top: 0;
+            left: 5px;
+        }
+        .mouse-ear-right {
+            top: 0;
+            right: 5px;
+        }
+        .mouse-face {
+            position: absolute;
+            top: 10px;
+            left: 5px;
+            width: 30px;
+            height: 30px;
+            background-color: var(--secondary-color);
+            border-radius: 50%;
+        }
+    </style>
+</head>
+<body>
+    <div id="error-toast" class="toast"></div>
+    <div class="container">
+        <div class="header">
+            <div class="logo">
+                <div class="mouse-logo">
+                    <div class="mouse-ears mouse-ear-left"></div>
+                    <div class="mouse-ears mouse-ear-right"></div>
+                    <div class="mouse-face"></div>
+                </div>
+                <h1>MOUSE 음성 챗</h1>
+            </div>
+            <div class="search-toggle">
+                <span class="search-label">웹 검색</span>
+                <div id="search-toggle" class="toggle-switch">
+                    <div class="toggle-slider"></div>
+                </div>
+            </div>
+            <div class="status-indicator">
+                <div id="status-dot" class="status-dot disconnected"></div>
+                <span id="status-text">연결 대기 중</span>
+            </div>
+        </div>
+        <div class="chat-container">
+            <div class="chat-messages" id="chat-messages"></div>
+        </div>
+        <div class="controls">
+            <button id="start-button">대화 시작</button>
+        </div>
+    </div>
+    <audio id="audio-output"></audio>
+    <script>
+        let peerConnection;
+        let webrtc_id;
+        let webSearchEnabled = false;
+        const audioOutput = document.getElementById('audio-output');
+        const startButton = document.getElementById('start-button');
+        const chatMessages = document.getElementById('chat-messages');
+        const statusDot = document.getElementById('status-dot');
+        const statusText = document.getElementById('status-text');
+        const searchToggle = document.getElementById('search-toggle');
+        let audioLevel = 0;
+        let animationFrame;
+        let audioContext, analyser, audioSource;
+        // Web search toggle functionality
+        searchToggle.addEventListener('click', () => {
+            webSearchEnabled = !webSearchEnabled;
+            searchToggle.classList.toggle('active', webSearchEnabled);
+        });
+        function updateStatus(state) {
+            statusDot.className = 'status-dot ' + state;
+            if (state === 'connected') {
+                statusText.textContent = '연결됨';
+            } else if (state === 'connecting') {
+                statusText.textContent = '연결 중...';
+            } else {
+                statusText.textContent = '연결 대기 중';
+            }
+        }
+        function updateButtonState() {
+            const button = document.getElementById('start-button');
+            if (peerConnection && (peerConnection.connectionState === 'connecting' || peerConnection.connectionState === 'new')) {
+                button.innerHTML = `
+                    <div class="icon-with-spinner">
+                        <div class="spinner"></div>
+                        <span>연결 중...</span>
+                    </div>
+                `;
+                updateStatus('connecting');
+            } else if (peerConnection && peerConnection.connectionState === 'connected') {
+                button.innerHTML = `
+                    <div class="icon-with-spinner">
+                        <div class="audio-visualizer" id="audio-visualizer">
+                            <div class="visualizer-bar"></div>
+                            <div class="visualizer-bar"></div>
+                            <div class="visualizer-bar"></div>
+                            <div class="visualizer-bar"></div>
+                            <div class="visualizer-bar"></div>
+                        </div>
+                        <span>대화 종료</span>
+                    </div>
+                `;
+                updateStatus('connected');
+            } else {
+                button.innerHTML = '대화 시작';
+                updateStatus('disconnected');
+            }
+        }
+        function setupAudioVisualization(stream) {
+            audioContext = new (window.AudioContext || window.webkitAudioContext)();
+            analyser = audioContext.createAnalyser();
+            audioSource = audioContext.createMediaStreamSource(stream);
+            audioSource.connect(analyser);
+            analyser.fftSize = 256;
+            const bufferLength = analyser.frequencyBinCount;
+            const dataArray = new Uint8Array(bufferLength);
+            const visualizerBars = document.querySelectorAll('.visualizer-bar');
+            const barCount = visualizerBars.length;
+            function updateAudioLevel() {
+                analyser.getByteFrequencyData(dataArray);
+                for (let i = 0; i < barCount; i++) {
+                    const start = Math.floor(i * (bufferLength / barCount));
+                    const end = Math.floor((i + 1) * (bufferLength / barCount));
+                    let sum = 0;
+                    for (let j = start; j < end; j++) {
+                        sum += dataArray[j];
+                    }
+                    const average = sum / (end - start) / 255;
+                    const scaleY = 0.1 + average * 0.9;
+                    visualizerBars[i].style.transform = `scaleY(${scaleY})`;
+                }
+                animationFrame = requestAnimationFrame(updateAudioLevel);
+            }
+            updateAudioLevel();
+        }
+        function showError(message) {
+            const toast = document.getElementById('error-toast');
+            toast.textContent = message;
+            toast.className = 'toast error';
+            toast.style.display = 'block';
+            setTimeout(() => {
+                toast.style.display = 'none';
+            }, 5000);
+        }
+        async function setupWebRTC() {
+            const config = __RTC_CONFIGURATION__;
+            peerConnection = new RTCPeerConnection(config);
+            const timeoutId = setTimeout(() => {
+                const toast = document.getElementById('error-toast');
+                toast.textContent = "연결이 평소보다 오래 걸리고 있습니다. VPN을 사용 중이신가요?";
+                toast.className = 'toast warning';
+                toast.style.display = 'block';
+                setTimeout(() => {
+                    toast.style.display = 'none';
+                }, 5000);
+            }, 5000);
+            try {
+                const stream = await navigator.mediaDevices.getUserMedia({
+                    audio: true
+                });
+                setupAudioVisualization(stream);
+                stream.getTracks().forEach(track => {
+                    peerConnection.addTrack(track, stream);
+                });
+                peerConnection.addEventListener('track', (evt) => {
+                    if (audioOutput.srcObject !== evt.streams[0]) {
+                        audioOutput.srcObject = evt.streams[0];
+                        audioOutput.play();
+                    }
+                });
+                const dataChannel = peerConnection.createDataChannel('text');
+                dataChannel.onmessage = (event) => {
+                    const eventJson = JSON.parse(event.data);
+                    if (eventJson.type === "error") {
+                        showError(eventJson.message);
+                    }
+                };
+                const offer = await peerConnection.createOffer();
+                await peerConnection.setLocalDescription(offer);
+                await new Promise((resolve) => {
+                    if (peerConnection.iceGatheringState === "complete") {
+                        resolve();
+                    } else {
+                        const checkState = () => {
+                            if (peerConnection.iceGatheringState === "complete") {
+                                peerConnection.removeEventListener("icegatheringstatechange", checkState);
+                                resolve();
+                            }
+                        };
+                        peerConnection.addEventListener("icegatheringstatechange", checkState);
+                    }
+                });
+                peerConnection.addEventListener('connectionstatechange', () => {
+                    console.log('connectionstatechange', peerConnection.connectionState);
+                    if (peerConnection.connectionState === 'connected') {
+                        clearTimeout(timeoutId);
+                        const toast = document.getElementById('error-toast');
+                        toast.style.display = 'none';
+                    }
+                    updateButtonState();
+                });
+                webrtc_id = Math.random().toString(36).substring(7);
+                const response = await fetch('/webrtc/offer', {
+                    method: 'POST',
+                    headers: { 'Content-Type': 'application/json' },
+                    body: JSON.stringify({
+                        sdp: peerConnection.localDescription.sdp,
+                        type: peerConnection.localDescription.type,
+                        webrtc_id: webrtc_id,
+                        web_search_enabled: webSearchEnabled
+                    })
+                });
+                const serverResponse = await response.json();
+                if (serverResponse.status === 'failed') {
+                    showError(serverResponse.meta.error === 'concurrency_limit_reached'
+                        ? `너무 많은 연결입니다. 최대 한도는 ${serverResponse.meta.limit} 입니다.`
+                        : serverResponse.meta.error);
+                    stop();
+                    return;
+                }
+                await peerConnection.setRemoteDescription(serverResponse);
+                const eventSource = new EventSource('/outputs?webrtc_id=' + webrtc_id);
+                eventSource.addEventListener("output", (event) => {
+                    const eventJson = JSON.parse(event.data);
+                    addMessage("assistant", eventJson.content);
+                });
+                eventSource.addEventListener("search", (event) => {
+                    const eventJson = JSON.parse(event.data);
+                    if (eventJson.results) {
+                        addMessage("search-result", `웹 ���색 중: "${eventJson.query}"`);
+                    }
+                });
+            } catch (err) {
+                clearTimeout(timeoutId);
+                console.error('Error setting up WebRTC:', err);
+                showError('연결을 설정하지 못했습니다. 다시 시도해 주세요.');
+                stop();
+            }
+        }
+        function addMessage(role, content) {
+            const messageDiv = document.createElement('div');
+            messageDiv.classList.add('message', role);
+            messageDiv.textContent = content;
+            chatMessages.appendChild(messageDiv);
+            chatMessages.scrollTop = chatMessages.scrollHeight;
+        }
+        function stop() {
+            if (animationFrame) {
+                cancelAnimationFrame(animationFrame);
+            }
+            if (audioContext) {
+                audioContext.close();
+                audioContext = null;
+                analyser = null;
+                audioSource = null;
+            }
+            if (peerConnection) {
+                if (peerConnection.getTransceivers) {
+                    peerConnection.getTransceivers().forEach(transceiver => {
+                        if (transceiver.stop) {
+                            transceiver.stop();
+                        }
+                    });
+                }
+                if (peerConnection.getSenders) {
+                    peerConnection.getSenders().forEach(sender => {
+                        if (sender.track && sender.track.stop) sender.track.stop();
+                    });
+                }
+                console.log('closing');
+                peerConnection.close();
+            }
+            updateButtonState();
+            audioLevel = 0;
+        }
+        startButton.addEventListener('click', () => {
+            console.log('clicked');
+            console.log(peerConnection, peerConnection?.connectionState);
+            if (!peerConnection || peerConnection.connectionState !== 'connected') {
+                setupWebRTC();
+            } else {
+                console.log('stopping');
+                stop();
+            }
+        });
+    </script>
+</body>
+</html>"""
+class BraveSearchClient:
+    """Brave Search API client"""
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+        self.base_url = "https://api.search.brave.com/res/v1/web/search"
+    async def search(self, query: str, count: int = 10) -> List[Dict]:
+        """Perform a web search using Brave Search API"""
+        if not self.api_key:
+            return []
+        headers = {
+            "Accept": "application/json",
+            "X-Subscription-Token": self.api_key
+        }
+        params = {
+            "q": query,
+            "count": count,
+            "lang": "ko"
+        }
+        async with httpx.AsyncClient() as client:
+            try:
+                response = await client.get(self.base_url, headers=headers, params=params)
+                response.raise_for_status()
+                data = response.json()
+                results = []
+                if "web" in data and "results" in data["web"]:
+                    for result in data["web"]["results"][:count]:
+                        results.append({
+                            "title": result.get("title", ""),
+                            "url": result.get("url", ""),
+                            "description": result.get("description", "")
+                        })
+                return results
+            except Exception as e:
+                print(f"Brave Search error: {e}")
+                return []
 class OpenAIHandler(AsyncStreamHandler):
+    def __init__(self, web_search_enabled: bool = False, search_client: Optional[BraveSearchClient] = None) -> None:
         super().__init__(
             expected_layout="mono",
             output_sample_rate=SAMPLE_RATE,
         )
         self.connection = None
         self.output_queue = asyncio.Queue()
+        self.web_search_enabled = web_search_enabled
+        self.search_client = search_client
+        self.function_call_in_progress = False
+        self.current_function_args = ""
     def copy(self):
+        return OpenAIHandler(self.web_search_enabled, self.search_client)
+    async def search_web(self, query: str) -> str:
+        """Perform web search and return formatted results"""
+        if not self.search_client or not self.web_search_enabled:
+            return "웹 검색이 비활성화되어 있습니다."
+        results = await self.search_client.search(query)
+        if not results:
+            return f"'{query}'에 대한 검색 결과를 찾을 수 없습니다."
+        # Format search results
+        formatted_results = []
+        for i, result in enumerate(results, 1):
+            formatted_results.append(
+                f"{i}. {result['title']}\n"
+                f"   URL: {result['url']}\n"
+                f"   {result['description']}\n"
+            )
+        return f"웹 검색 결과 '{query}':\n\n" + "\n".join(formatted_results)
+    async def start_up(self):
+        """Connect to realtime API with function calling enabled"""
         self.client = openai.AsyncOpenAI()
+        # Define the web search function
+        tools = []
+        if self.web_search_enabled and self.search_client:
+            tools = [{
+                "type": "function",
+                "function": {
+                    "name": "web_search",
+                    "description": "Search the web for information",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "query": {
+                                "type": "string",
+                                "description": "The search query"
+                            }
+                        },
+                        "required": ["query"]
+                    }
+                }
+            }]
         async with self.client.beta.realtime.connect(
             model="gpt-4o-mini-realtime-preview-2024-12-17"
         ) as conn:
+            # Update session with tools
+            session_update = {
+                "turn_detection": {"type": "server_vad"},
+                "tools": tools,
+                "tool_choice": "auto" if tools else "none"
+            }
+            await conn.session.update(session=session_update)
             self.connection = conn
             async for event in self.connection:
                 if event.type == "response.audio_transcript.done":
                     await self.output_queue.put(AdditionalOutputs(event))
+                elif event.type == "response.audio.delta":
                     await self.output_queue.put(
                         (
                             self.output_sample_rate,
                             ).reshape(1, -1),
                         ),
                     )
+                # Handle function calls
+                elif event.type == "response.function_call_arguments.start":
+                    self.function_call_in_progress = True
+                    self.current_function_args = ""
+                elif event.type == "response.function_call_arguments.delta":
+                    if self.function_call_in_progress:
+                        self.current_function_args += event.delta
+                elif event.type == "response.function_call_arguments.done":
+                    if self.function_call_in_progress:
+                        try:
+                            args = json.loads(self.current_function_args)
+                            query = args.get("query", "")
+                            # Emit search event to client
+                            await self.output_queue.put(AdditionalOutputs({
+                                "type": "search",
+                                "query": query,
+                                "results": True
+                            }))
+                            # Perform the search
+                            search_results = await self.search_web(query)
+                            # Send function result back to the model
+                            if self.connection:
+                                await self.connection.conversation.item.create(
+                                    item={
+                                        "type": "function_call_output",
+                                        "call_id": event.call_id,
+                                        "output": search_results
+                                    }
+                                )
+                                await self.connection.response.create()
+                        except Exception as e:
+                            print(f"Function call error: {e}")
+                        finally:
+                            self.function_call_in_progress = False
+                            self.current_function_args = ""
     async def receive(self, frame: tuple[int, np.ndarray]) -> None:
         if not self.connection:
         _, array = frame
         array = array.squeeze()
         audio_message = base64.b64encode(array.tobytes()).decode("utf-8")
+        await self.connection.input_audio_buffer.append(audio=audio_message)
     async def emit(self) -> tuple[int, np.ndarray] | AdditionalOutputs | None:
         return await wait_for_item(self.output_queue)
             self.connection = None
+# Store active handlers by webrtc_id
+active_handlers = {}
+# Initialize search client
+brave_api_key = os.getenv("BSERACH_API")
+search_client = BraveSearchClient(brave_api_key) if brave_api_key else None
 app = FastAPI()
+def update_chatbot(chatbot: list[dict], response: ResponseAudioTranscriptDoneEvent):
+    chatbot.append({"role": "assistant", "content": response.transcript})
+    return chatbot
+@app.post("/webrtc/offer")
+async def webrtc_offer(request: dict):
+    """Handle WebRTC offer with web search preference"""
+    web_search_enabled = request.get("web_search_enabled", False)
+    webrtc_id = request.get("webrtc_id")
+    # Create handler with web search capability
+    handler = OpenAIHandler(web_search_enabled=web_search_enabled, search_client=search_client)
+    active_handlers[webrtc_id] = handler
+    # Create stream for this connection
+    stream = Stream(
+        handler,
+        mode="send-receive",
+        modality="audio",
+        additional_inputs=[[]],  # Empty chatbot state
+        additional_outputs=[[]],
+        additional_outputs_handler=update_chatbot,
+        rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
+        concurrency_limit=5 if get_space() else None,
+        time_limit=90 if get_space() else None,
+    )
+    # Store stream reference
+    handler.stream = stream
+    # Mount and handle offer
+    stream.mount(app)
+    # Forward the WebRTC offer to the stream
+    return await stream.offer(request)
 @app.get("/outputs")
+async def outputs(webrtc_id: str):
+    """Stream outputs including search events"""
     async def output_stream():
+        handler = active_handlers.get(webrtc_id)
+        if not handler or not hasattr(handler, 'stream'):
+            return
+        async for output in handler.stream.output_stream(webrtc_id):
+            if hasattr(output, 'args') and output.args:
+                # Check if it's a search event
+                if isinstance(output.args[0], dict) and output.args[0].get('type') == 'search':
+                    yield f"event: search\ndata: {json.dumps(output.args[0])}\n\n"
+                # Regular transcript event
+                elif hasattr(output.args[0], 'transcript'):
+                    s = json.dumps({"role": "assistant", "content": output.args[0].transcript})
+                    yield f"event: output\ndata: {s}\n\n"
     return StreamingResponse(output_stream(), media_type="text/event-stream")
+@app.get("/")
+async def index():
+    """Serve the HTML page"""
+    rtc_config = get_twilio_turn_credentials() if get_space() else None
+    html_content = HTML_CONTENT.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
+    return HTMLResponse(content=html_content)
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)