Intital commit

.gitignore

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+# Environment variables
+.env
+
+node_modules/
+assets/
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+ENV/
+venv.bak/
+venv.cfg
+
+# IDE
+.vscode/
+.idea/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+venv.cfg
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Abstra
+# Abstra is an AI-powered process automation framework.
+# Ignore directories containing user credentials, local state, and settings.
+# Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#  Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#  that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#  and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#  you could uncomment the following to ignore the enitre vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Cursor
+#  Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
+#  exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
+#  refer to https://docs.cursor.com/context/ignore-files
+.cursorignore
+.cursorindexingignore
+
+# IDE
+.vscode/
+.idea/

Dockerfile

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+
+
+# Stage 2: Create the final application image
+FROM python:3.11-slim
+WORKDIR /app
+
+# Install Python dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the backend code
+COPY . .
+
+# Expose the port the app runs on
+EXPOSE 7860
+
+# Run the application
+CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860"] 

LICENSE

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+MIT License
+
+Copyright (c) 2025 K.Boopathi
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

bot/bot_websocket_server.py

@@ -0,0 +1,158 @@
+import os
+
+from loguru import logger
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+
+from pipecat.services.ollama.llm import OLLamaLLMService
+
+# from pipecat.services.fish.tts import FishAudioTTSService
+from pipecat.services.xtts.tts import XTTSService
+from pipecat.transcriptions.language import Language
+
+
+from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
+from pipecat.serializers.protobuf import ProtobufFrameSerializer
+from pipecat.services.whisper.stt import WhisperSTTService
+from pipecat.transports.network.websocket_server import (
+    WebsocketServerParams,
+    WebsocketServerTransport,
+)
+import aiohttp
+
+from service.Kokoro.tts import KokoroTTSService
+from service.orpheus.tts import OrpheusTTSService
+# from service.chatterbot.tts import ChatterboxTTSService
+
+SYSTEM_INSTRUCTION = f"""
+"You are Gemini Chatbot, a friendly, helpful robot.
+
+Your goal is to demonstrate your capabilities in a succinct way.
+
+Your output will be converted to audio so don't include special characters in your answers.
+
+Respond to what the user said in a creative and helpful way. Keep your responses brief. One or two sentences at most.
+"""
+
+
+async def run_bot_websocket_server():
+    ws_transport = WebsocketServerTransport(
+        params=WebsocketServerParams(
+            serializer=ProtobufFrameSerializer(),
+            audio_in_enabled=True,
+            audio_out_enabled=True,
+            add_wav_header=False,
+            vad_analyzer=SileroVADAnalyzer(),
+            session_timeout=60 * 3,  # 3 minutes
+        )
+    )
+
+    stt = WhisperSTTService(
+        model="tiny",
+        device="cpu",
+        compute_type="default",
+        language="en",
+    )
+
+    llm = OLLamaLLMService(
+        model="smollm:latest",
+        # params=OLLamaLLMService.InputParams(temperature=0.7, max_tokens=1000),
+    )
+
+    # TTS = FishAudioTTSService(
+    #     api_key=os.getenv("CARTESIA_API_KEY"),
+    #     voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22",  # British Reading Lady
+    # )
+    # async with aiohttp.ClientSession() as session:
+    #     TTS = XTTSService(
+    #         voice_id="speaker_1",
+    #         language=Language.EN,
+    #         base_url="http://localhost:8000",
+    #         aiohttp_session=session
+    #     )
+
+    context = OpenAILLMContext(
+        [
+            {
+                "role": "system",
+                "content": SYSTEM_INSTRUCTION,
+            },
+            {
+                "role": "user",
+                "content": "Start by greeting the user warmly and introducing yourself.",
+            },
+        ],
+    )
+    context_aggregator = llm.create_context_aggregator(context)
+
+    # RTVI events for Pipecat client UI
+    rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
+
+    TTS = KokoroTTSService(
+        model_path=os.path.join(
+            os.path.dirname(__file__), "assets", "kokoro-v1.0.int8.onnx"
+        ),
+        voices_path=os.path.join(os.path.dirname(__file__), "assets", "voices.json"),
+        voice_id="af",
+        sample_rate=16000,
+    )
+
+    # TTS = OrpheusTTSService(
+    #     model_name="canopylabs/orpheus-3b-0.1-ft",
+    #     sample_rate=16000,
+    # )
+
+    # TTS = ChatterboxTTSService(
+    #     model_name="",
+    #     sample_rate=16000,
+    # )
+    pipeline = Pipeline(
+        [
+            ws_transport.input(),
+            rtvi,
+            stt,  # STT
+            context_aggregator.user(),
+            llm,
+            TTS,  # TTS
+            ws_transport.output(),
+            context_aggregator.assistant(),
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+        observers=[RTVIObserver(rtvi)],
+    )
+
+    @rtvi.event_handler("on_client_ready")
+    async def on_client_ready(rtvi):
+        logger.info("Pipecat client ready.")
+        await rtvi.set_bot_ready()
+        # Kick off the conversation.
+        await task.queue_frames([context_aggregator.user().get_context_frame()])
+
+    @ws_transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info("Pipecat Client connected")
+
+    @ws_transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info("Pipecat Client disconnected")
+        await task.cancel()
+
+    @ws_transport.event_handler("on_session_timeout")
+    async def on_session_timeout(transport, client):
+        logger.info(f"Entering in timeout for {client.remote_address}")
+        await task.cancel()
+
+    runner = PipelineRunner()
+
+    await runner.run(task)

client/.gitingore

@@ -0,0 +1 @@
+node_modules/

client/README.md

@@ -0,0 +1,27 @@
+# JavaScript Implementation
+
+Basic implementation using the [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/js/introduction).
+
+## Setup
+
+1. Run the bot server. See the [server README](../README).
+
+2. Navigate to the `client/javascript` directory:
+
+```bash
+cd client/javascript
+```
+
+3. Install dependencies:
+
+```bash
+npm install
+```
+
+4. Run the client app:
+
+```
+npm run dev
+```
+
+5. Visit http://localhost:5173 in your browser.

client/index.html

@@ -0,0 +1,34 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>AI Chatbot</title>
+</head>
+
+<body>
+<div class="container">
+  <div class="status-bar">
+    <div class="status">
+      Transport: <span id="connection-status">Disconnected</span>
+    </div>
+    <div class="controls">
+      <button id="connect-btn">Connect</button>
+      <button id="disconnect-btn" disabled>Disconnect</button>
+    </div>
+  </div>
+
+  <audio id="bot-audio" autoplay></audio>
+
+  <div class="debug-panel">
+    <h3>Debug Info</h3>
+    <div id="debug-log"></div>
+  </div>
+</div>
+
+<script type="module" src="/src/app.ts"></script>
+<link rel="stylesheet" href="/src/style.css">
+</body>
+
+</html>

client/package-lock.json

@@ -0,0 +1,1780 @@
+{
+  "name": "client",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "client",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "@pipecat-ai/client-js": "^0.4.0",
+        "@pipecat-ai/websocket-transport": "^0.4.2",
+        "protobufjs": "^7.4.0"
+      },
+      "devDependencies": {
+        "@types/node": "^22.15.30",
+        "@types/protobufjs": "^6.0.0",
+        "@vitejs/plugin-react-swc": "^3.10.1",
+        "typescript": "^5.8.3",
+        "vite": "^6.3.5"
+      }
+    },
+    "node_modules/@babel/runtime": {
+      "version": "7.27.6",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.6.tgz",
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+      "license": "MIT",
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+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@bufbuild/protobuf": {
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+    },
+    "node_modules/@bufbuild/protoplugin": {
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+      "license": "MIT",
+      "optionalDependencies": {
+        "rxjs": "*"
+      }
+    },
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+        "tsc": "bin/tsc",
+        "tsserver": "bin/tsserver"
+      },
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+        "node": ">=14.17"
+      }
+    },
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+    },
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+      "funding": [
+        "https://github.com/sponsors/broofa",
+        "https://github.com/sponsors/ctavan"
+      ],
+      "license": "MIT",
+      "bin": {
+        "uuid": "dist/bin/uuid"
+      }
+    },
+    "node_modules/vite": {
+      "version": "6.3.5",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.3.5.tgz",
+      "integrity": "sha512-cZn6NDFE7wdTpINgs++ZJ4N49W2vRp8LCKrn3Ob1kYNtOo21vfDoaV5GzBfLU4MovSAB8uNRm4jgzVQZ+mBzPQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "esbuild": "^0.25.0",
+        "fdir": "^6.4.4",
+        "picomatch": "^4.0.2",
+        "postcss": "^8.5.3",
+        "rollup": "^4.34.9",
+        "tinyglobby": "^0.2.13"
+      },
+      "bin": {
+        "vite": "bin/vite.js"
+      },
+      "engines": {
+        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/vitejs/vite?sponsor=1"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.3"
+      },
+      "peerDependencies": {
+        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
+        "jiti": ">=1.21.0",
+        "less": "*",
+        "lightningcss": "^1.21.0",
+        "sass": "*",
+        "sass-embedded": "*",
+        "stylus": "*",
+        "sugarss": "*",
+        "terser": "^5.16.0",
+        "tsx": "^4.8.1",
+        "yaml": "^2.4.2"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "jiti": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "lightningcss": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "sass-embedded": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        },
+        "tsx": {
+          "optional": true
+        },
+        "yaml": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/x-law": {
+      "version": "0.3.1",
+      "resolved": "https://registry.npmjs.org/x-law/-/x-law-0.3.1.tgz",
+      "integrity": "sha512-Nvo6OKj6UL2LuzAc08uJkwIDkK2PsTEdpLiY82NkwMptuRpAA1V7arUl7ZY12BcgRYNq8uh1pdAu7G6VeQn7Hg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      }
+    }
+  }
+}

client/package.json

@@ -0,0 +1,26 @@
+{
+  "name": "client",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "dev": "vite",
+    "build": "tsc && vite build",
+    "preview": "vite preview"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "devDependencies": {
+    "@types/node": "^22.15.30",
+    "@types/protobufjs": "^6.0.0",
+    "@vitejs/plugin-react-swc": "^3.10.1",
+    "typescript": "^5.8.3",
+    "vite": "^6.3.5"
+  },
+  "dependencies": {
+    "@pipecat-ai/client-js": "^0.4.0",
+    "@pipecat-ai/websocket-transport": "^0.4.2",
+    "protobufjs": "^7.4.0"
+  }
+}

client/src/app.ts

@@ -0,0 +1,238 @@
+/**
+ * Copyright (c) 2024–2025, Daily
+ *
+ * SPDX-License-Identifier: BSD 2-Clause License
+ */
+
+/**
+ * RTVI Client Implementation
+ *
+ * This client connects to an RTVI-compatible bot server using WebSocket.
+ *
+ * Requirements:
+ * - A running RTVI bot server (defaults to http://localhost:7860)
+ */
+
+import {
+  RTVIClient,
+  RTVIClientOptions,
+  RTVIEvent,
+} from '@pipecat-ai/client-js';
+import {
+  WebSocketTransport
+} from "@pipecat-ai/websocket-transport";
+
+class WebsocketClientApp {
+  private rtviClient: RTVIClient | null = null;
+  private connectBtn: HTMLButtonElement | null = null;
+  private disconnectBtn: HTMLButtonElement | null = null;
+  private statusSpan: HTMLElement | null = null;
+  private debugLog: HTMLElement | null = null;
+  private botAudio: HTMLAudioElement;
+
+  constructor() {
+    console.log("WebsocketClientApp");
+    this.botAudio = document.createElement('audio');
+    this.botAudio.autoplay = true;
+    //this.botAudio.playsInline = true;
+    document.body.appendChild(this.botAudio);
+
+    this.setupDOMElements();
+    this.setupEventListeners();
+  }
+
+  /**
+   * Set up references to DOM elements and create necessary media elements
+   */
+  private setupDOMElements(): void {
+    this.connectBtn = document.getElementById('connect-btn') as HTMLButtonElement;
+    this.disconnectBtn = document.getElementById('disconnect-btn') as HTMLButtonElement;
+    this.statusSpan = document.getElementById('connection-status');
+    this.debugLog = document.getElementById('debug-log');
+  }
+
+  /**
+   * Set up event listeners for connect/disconnect buttons
+   */
+  private setupEventListeners(): void {
+    this.connectBtn?.addEventListener('click', () => this.connect());
+    this.disconnectBtn?.addEventListener('click', () => this.disconnect());
+  }
+
+  /**
+   * Add a timestamped message to the debug log
+   */
+  private log(message: string): void {
+    if (!this.debugLog) return;
+    const entry = document.createElement('div');
+    entry.textContent = `${new Date().toISOString()} - ${message}`;
+    if (message.startsWith('User: ')) {
+      entry.style.color = '#2196F3';
+    } else if (message.startsWith('Bot: ')) {
+      entry.style.color = '#4CAF50';
+    }
+    this.debugLog.appendChild(entry);
+    this.debugLog.scrollTop = this.debugLog.scrollHeight;
+    console.log(message);
+  }
+
+  /**
+   * Update the connection status display
+   */
+  private updateStatus(status: string): void {
+    if (this.statusSpan) {
+      this.statusSpan.textContent = status;
+    }
+    this.log(`Status: ${status}`);
+  }
+
+  /**
+   * Check for available media tracks and set them up if present
+   * This is called when the bot is ready or when the transport state changes to ready
+   */
+  setupMediaTracks() {
+    if (!this.rtviClient) return;
+    const tracks = this.rtviClient.tracks();
+    if (tracks.bot?.audio) {
+      this.setupAudioTrack(tracks.bot.audio);
+    }
+  }
+
+  /**
+   * Set up listeners for track events (start/stop)
+   * This handles new tracks being added during the session
+   */
+  setupTrackListeners() {
+    if (!this.rtviClient) return;
+
+    // Listen for new tracks starting
+    this.rtviClient.on(RTVIEvent.TrackStarted, (track, participant) => {
+      // Only handle non-local (bot) tracks
+      if (!participant?.local && track.kind === 'audio') {
+        this.setupAudioTrack(track);
+      }
+    });
+
+    // Listen for tracks stopping
+    this.rtviClient.on(RTVIEvent.TrackStopped, (track, participant) => {
+      this.log(`Track stopped: ${track.kind} from ${participant?.name || 'unknown'}`);
+    });
+  }
+
+  /**
+   * Set up an audio track for playback
+   * Handles both initial setup and track updates
+   */
+  private setupAudioTrack(track: MediaStreamTrack): void {
+    this.log('Setting up audio track');
+    if (this.botAudio.srcObject && "getAudioTracks" in this.botAudio.srcObject) {
+      const oldTrack = this.botAudio.srcObject.getAudioTracks()[0];
+      if (oldTrack?.id === track.id) return;
+    }
+    this.botAudio.srcObject = new MediaStream([track]);
+  }
+
+  /**
+   * Initialize and connect to the bot
+   * This sets up the RTVI client, initializes devices, and establishes the connection
+   */
+  public async connect(): Promise<void> {
+    try {
+      const startTime = Date.now();
+
+      //const transport = new DailyTransport();
+      const transport = new WebSocketTransport();
+      const RTVIConfig: RTVIClientOptions = {
+        transport,
+        params: {
+          // The baseURL and endpoint of your bot server that the client will connect to
+          baseUrl: '',
+          //  baseUrl: 'http://localhost:7860',
+          endpoints: { connect: '/connect' },
+          headers: new Headers( {
+            "Authorization": "Bearer 72dc0bce-f2da-4585-a6df-6f1160980dc0"
+          })
+        },
+        enableMic: true,
+        enableCam: false,
+        callbacks: {
+          onConnected: () => {
+            this.updateStatus('Connected');
+            if (this.connectBtn) this.connectBtn.disabled = true;
+            if (this.disconnectBtn) this.disconnectBtn.disabled = false;
+          },
+          onDisconnected: () => {
+            this.updateStatus('Disconnected');
+            if (this.connectBtn) this.connectBtn.disabled = false;
+            if (this.disconnectBtn) this.disconnectBtn.disabled = true;
+            this.log('Client disconnected');
+          },
+          onBotReady: (data) => {
+            this.log(`Bot ready: ${JSON.stringify(data)}`);
+            this.setupMediaTracks();
+          },
+          onUserTranscript: (data) => {
+            if (data.final) {
+              this.log(`User: ${data.text}`);
+            }
+          },
+          onBotTranscript: (data) => this.log(`Bot: ${data.text}`),
+          onMessageError: (error) => console.error('Message error:', error),
+          onError: (error) => console.error('Error:', error),
+        },
+      }
+      this.rtviClient = new RTVIClient(RTVIConfig);
+      this.setupTrackListeners();
+
+      this.log('Initializing devices...');
+      await this.rtviClient.initDevices();
+
+      this.log('Connecting to bot...');
+      await this.rtviClient.connect();
+
+      const timeTaken = Date.now() - startTime;
+      this.log(`Connection complete, timeTaken: ${timeTaken}`);
+    } catch (error) {
+      this.log(`Error connecting: ${(error as Error).message}`);
+      this.updateStatus('Error');
+      // Clean up if there's an error
+      if (this.rtviClient) {
+        try {
+          await this.rtviClient.disconnect();
+        } catch (disconnectError) {
+          this.log(`Error during disconnect: ${disconnectError}`);
+        }
+      }
+    }
+  }
+
+  /**
+   * Disconnect from the bot and clean up media resources
+   */
+  public async disconnect(): Promise<void> {
+    if (this.rtviClient) {
+      try {
+        await this.rtviClient.disconnect();
+        this.rtviClient = null;
+        if (this.botAudio.srcObject && "getAudioTracks" in this.botAudio.srcObject) {
+          this.botAudio.srcObject.getAudioTracks().forEach((track) => track.stop());
+          this.botAudio.srcObject = null;
+        }
+      } catch (error) {
+        this.log(`Error disconnecting: ${(error as Error).message}`);
+      }
+    }
+  }
+
+}
+
+declare global {
+  interface Window {
+    WebsocketClientApp: typeof WebsocketClientApp;
+  }
+}
+
+window.addEventListener('DOMContentLoaded', () => {
+  window.WebsocketClientApp = WebsocketClientApp;
+  new WebsocketClientApp();
+});

client/src/style.css

@@ -0,0 +1,98 @@
+body {
+    margin: 0;
+    padding: 20px;
+    font-family: Arial, sans-serif;
+    background-color: #f0f0f0;
+}
+
+.container {
+    max-width: 1200px;
+    margin: 0 auto;
+}
+
+.status-bar {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    padding: 10px;
+    background-color: #fff;
+    border-radius: 8px;
+    margin-bottom: 20px;
+}
+
+.controls button {
+    padding: 8px 16px;
+    margin-left: 10px;
+    border: none;
+    border-radius: 4px;
+    cursor: pointer;
+}
+
+#connect-btn {
+    background-color: #4caf50;
+    color: white;
+}
+
+#disconnect-btn {
+    background-color: #f44336;
+    color: white;
+}
+
+button:disabled {
+    opacity: 0.5;
+    cursor: not-allowed;
+}
+
+.main-content {
+    background-color: #fff;
+    border-radius: 8px;
+    padding: 20px;
+    margin-bottom: 20px;
+}
+
+.bot-container {
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+}
+
+#bot-video-container {
+    width: 640px;
+    height: 360px;
+    background-color: #e0e0e0;
+    border-radius: 8px;
+    margin: 20px auto;
+    overflow: hidden;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+}
+
+#bot-video-container video {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+}
+
+.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: 500px;
+    overflow-y: auto;
+    background-color: #f8f8f8;
+    padding: 10px;
+    border-radius: 4px;
+    font-family: monospace;
+    font-size: 12px;
+    line-height: 1.4;
+}

client/tsconfig.json

@@ -0,0 +1,111 @@
+{
+  "compilerOptions": {
+    /* Visit https://aka.ms/tsconfig to read more about this file */
+
+    /* Projects */
+    // "incremental": true,                              /* Save .tsbuildinfo files to allow for incremental compilation of projects. */
+    // "composite": true,                                /* Enable constraints that allow a TypeScript project to be used with project references. */
+    // "tsBuildInfoFile": "./.tsbuildinfo",              /* Specify the path to .tsbuildinfo incremental compilation file. */
+    // "disableSourceOfProjectReferenceRedirect": true,  /* Disable preferring source files instead of declaration files when referencing composite projects. */
+    // "disableSolutionSearching": true,                 /* Opt a project out of multi-project reference checking when editing. */
+    // "disableReferencedProjectLoad": true,             /* Reduce the number of projects loaded automatically by TypeScript. */
+
+    /* Language and Environment */
+    "target": "es2016",                                  /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */
+    // "lib": [],                                        /* Specify a set of bundled library declaration files that describe the target runtime environment. */
+    // "jsx": "preserve",                                /* Specify what JSX code is generated. */
+    // "experimentalDecorators": true,                   /* Enable experimental support for legacy experimental decorators. */
+    // "emitDecoratorMetadata": true,                    /* Emit design-type metadata for decorated declarations in source files. */
+    // "jsxFactory": "",                                 /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h'. */
+    // "jsxFragmentFactory": "",                         /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */
+    // "jsxImportSource": "",                            /* Specify module specifier used to import the JSX factory functions when using 'jsx: react-jsx*'. */
+    // "reactNamespace": "",                             /* Specify the object invoked for 'createElement'. This only applies when targeting 'react' JSX emit. */
+    // "noLib": true,                                    /* Disable including any library files, including the default lib.d.ts. */
+    // "useDefineForClassFields": true,                  /* Emit ECMAScript-standard-compliant class fields. */
+    // "moduleDetection": "auto",                        /* Control what method is used to detect module-format JS files. */
+
+    /* Modules */
+    "module": "commonjs",                                /* Specify what module code is generated. */
+    // "rootDir": "./",                                  /* Specify the root folder within your source files. */
+    // "moduleResolution": "node10",                     /* Specify how TypeScript looks up a file from a given module specifier. */
+    // "baseUrl": "./",                                  /* Specify the base directory to resolve non-relative module names. */
+    // "paths": {},                                      /* Specify a set of entries that re-map imports to additional lookup locations. */
+    // "rootDirs": [],                                   /* Allow multiple folders to be treated as one when resolving modules. */
+    // "typeRoots": [],                                  /* Specify multiple folders that act like './node_modules/@types'. */
+    // "types": [],                                      /* Specify type package names to be included without being referenced in a source file. */
+    // "allowUmdGlobalAccess": true,                     /* Allow accessing UMD globals from modules. */
+    // "moduleSuffixes": [],                             /* List of file name suffixes to search when resolving a module. */
+    // "allowImportingTsExtensions": true,               /* Allow imports to include TypeScript file extensions. Requires '--moduleResolution bundler' and either '--noEmit' or '--emitDeclarationOnly' to be set. */
+    // "rewriteRelativeImportExtensions": true,          /* Rewrite '.ts', '.tsx', '.mts', and '.cts' file extensions in relative import paths to their JavaScript equivalent in output files. */
+    // "resolvePackageJsonExports": true,                /* Use the package.json 'exports' field when resolving package imports. */
+    // "resolvePackageJsonImports": true,                /* Use the package.json 'imports' field when resolving imports. */
+    // "customConditions": [],                           /* Conditions to set in addition to the resolver-specific defaults when resolving imports. */
+    // "noUncheckedSideEffectImports": true,             /* Check side effect imports. */
+    // "resolveJsonModule": true,                        /* Enable importing .json files. */
+    // "allowArbitraryExtensions": true,                 /* Enable importing files with any extension, provided a declaration file is present. */
+    // "noResolve": true,                                /* Disallow 'import's, 'require's or '<reference>'s from expanding the number of files TypeScript should add to a project. */
+
+    /* JavaScript Support */
+    // "allowJs": true,                                  /* Allow JavaScript files to be a part of your program. Use the 'checkJS' option to get errors from these files. */
+    // "checkJs": true,                                  /* Enable error reporting in type-checked JavaScript files. */
+    // "maxNodeModuleJsDepth": 1,                        /* Specify the maximum folder depth used for checking JavaScript files from 'node_modules'. Only applicable with 'allowJs'. */
+
+    /* Emit */
+    // "declaration": true,                              /* Generate .d.ts files from TypeScript and JavaScript files in your project. */
+    // "declarationMap": true,                           /* Create sourcemaps for d.ts files. */
+    // "emitDeclarationOnly": true,                      /* Only output d.ts files and not JavaScript files. */
+    // "sourceMap": true,                                /* Create source map files for emitted JavaScript files. */
+    // "inlineSourceMap": true,                          /* Include sourcemap files inside the emitted JavaScript. */
+    // "noEmit": true,                                   /* Disable emitting files from a compilation. */
+    // "outFile": "./",                                  /* Specify a file that bundles all outputs into one JavaScript file. If 'declaration' is true, also designates a file that bundles all .d.ts output. */
+    // "outDir": "./",                                   /* Specify an output folder for all emitted files. */
+    // "removeComments": true,                           /* Disable emitting comments. */
+    // "importHelpers": true,                            /* Allow importing helper functions from tslib once per project, instead of including them per-file. */
+    // "downlevelIteration": true,                       /* Emit more compliant, but verbose and less performant JavaScript for iteration. */
+    // "sourceRoot": "",                                 /* Specify the root path for debuggers to find the reference source code. */
+    // "mapRoot": "",                                    /* Specify the location where debugger should locate map files instead of generated locations. */
+    // "inlineSources": true,                            /* Include source code in the sourcemaps inside the emitted JavaScript. */
+    // "emitBOM": true,                                  /* Emit a UTF-8 Byte Order Mark (BOM) in the beginning of output files. */
+    // "newLine": "crlf",                                /* Set the newline character for emitting files. */
+    // "stripInternal": true,                            /* Disable emitting declarations that have '@internal' in their JSDoc comments. */
+    // "noEmitHelpers": true,                            /* Disable generating custom helper functions like '__extends' in compiled output. */
+    // "noEmitOnError": true,                            /* Disable emitting files if any type checking errors are reported. */
+    // "preserveConstEnums": true,                       /* Disable erasing 'const enum' declarations in generated code. */
+    // "declarationDir": "./",                           /* Specify the output directory for generated declaration files. */
+
+    /* Interop Constraints */
+    // "isolatedModules": true,                          /* Ensure that each file can be safely transpiled without relying on other imports. */
+    // "verbatimModuleSyntax": true,                     /* Do not transform or elide any imports or exports not marked as type-only, ensuring they are written in the output file's format based on the 'module' setting. */
+    // "isolatedDeclarations": true,                     /* Require sufficient annotation on exports so other tools can trivially generate declaration files. */
+    // "allowSyntheticDefaultImports": true,             /* Allow 'import x from y' when a module doesn't have a default export. */
+    "esModuleInterop": true,                             /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables 'allowSyntheticDefaultImports' for type compatibility. */
+    // "preserveSymlinks": true,                         /* Disable resolving symlinks to their realpath. This correlates to the same flag in node. */
+    "forceConsistentCasingInFileNames": true,            /* Ensure that casing is correct in imports. */
+
+    /* Type Checking */
+    "strict": true,                                      /* Enable all strict type-checking options. */
+    // "noImplicitAny": true,                            /* Enable error reporting for expressions and declarations with an implied 'any' type. */
+    // "strictNullChecks": true,                         /* When type checking, take into account 'null' and 'undefined'. */
+    // "strictFunctionTypes": true,                      /* When assigning functions, check to ensure parameters and the return values are subtype-compatible. */
+    // "strictBindCallApply": true,                      /* Check that the arguments for 'bind', 'call', and 'apply' methods match the original function. */
+    // "strictPropertyInitialization": true,             /* Check for class properties that are declared but not set in the constructor. */
+    // "strictBuiltinIteratorReturn": true,              /* Built-in iterators are instantiated with a 'TReturn' type of 'undefined' instead of 'any'. */
+    // "noImplicitThis": true,                           /* Enable error reporting when 'this' is given the type 'any'. */
+    // "useUnknownInCatchVariables": true,               /* Default catch clause variables as 'unknown' instead of 'any'. */
+    // "alwaysStrict": true,                             /* Ensure 'use strict' is always emitted. */
+    // "noUnusedLocals": true,                           /* Enable error reporting when local variables aren't read. */
+    // "noUnusedParameters": true,                       /* Raise an error when a function parameter isn't read. */
+    // "exactOptionalPropertyTypes": true,               /* Interpret optional property types as written, rather than adding 'undefined'. */
+    // "noImplicitReturns": true,                        /* Enable error reporting for codepaths that do not explicitly return in a function. */
+    // "noFallthroughCasesInSwitch": true,               /* Enable error reporting for fallthrough cases in switch statements. */
+    // "noUncheckedIndexedAccess": true,                 /* Add 'undefined' to a type when accessed using an index. */
+    // "noImplicitOverride": true,                       /* Ensure overriding members in derived classes are marked with an override modifier. */
+    // "noPropertyAccessFromIndexSignature": true,       /* Enforces using indexed accessors for keys declared using an indexed type. */
+    // "allowUnusedLabels": true,                        /* Disable error reporting for unused labels. */
+    // "allowUnreachableCode": true,                     /* Disable error reporting for unreachable code. */
+
+    /* Completeness */
+    // "skipDefaultLibCheck": true,                      /* Skip type checking .d.ts files that are included with TypeScript. */
+    "skipLibCheck": true                                 /* Skip type checking all .d.ts files. */
+  }
+}

client/vite.config.js

@@ -0,0 +1,15 @@
+import { defineConfig } from 'vite';
+import react from '@vitejs/plugin-react-swc';
+
+export default defineConfig({
+    plugins: [react()],
+    server: {
+        proxy: {
+            // Proxy /api requests to the backend server
+            '/connect': {
+                target: 'http://0.0.0.0:7860', // Replace with your backend URL
+                changeOrigin: true,
+            },
+        },
+    },
+});

env.example

@@ -0,0 +1,11 @@
+WEBSOCKET_SERVER=websocket_server # Options: 'fast_api' or 'websocket_server'
+
+
+
+sudo docker run \
+  -e COQUI_TOS_AGREED=1 \
+  --rm \
+  -p 8000:80 \
+  ghcr.io/coqui-ai/xtts-streaming-server:latest-cpu
+
+

pyproject.toml

@@ -0,0 +1,14 @@
+[project]
+name = "voiceagentstack"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "fastapi>=0.115.13",
+    "kokoro-onnx>=0.3.3",
+    "orpheus-speech>=0.1.0",
+    "pipecat-ai[fish,ollama,websocket,whisper]>=0.0.71",
+    "python-dotenv>=1.1.0",
+    "uvicorn>=0.34.3",
+]

requirements.txt

@@ -0,0 +1,12 @@
+# Core
+fastapi>=0.115.13
+uvicorn>=0.34.3
+python-dotenv>=1.1.0
+
+# Pipecat with multiple extras
+pipecat-ai[fish,ollama,webrtc,websocket,whisper,deepgram,openai]>=0.0.71
+
+# Orpheus and Kokoro
+orpheus-speech>=0.1.0
+kokoro-onnx>=0.3.3
+chatterbox-tts

server.py

@@ -0,0 +1,55 @@
+# main.py
+import asyncio
+import os
+from contextlib import asynccontextmanager
+from typing import Any, Dict
+
+import uvicorn
+from dotenv import load_dotenv
+from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.staticfiles import StaticFiles
+
+from bot.bot_websocket_server import run_bot_websocket_server  
+
+load_dotenv(override=True)
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    yield  # Handle startup/shutdown
+
+app = FastAPI(lifespan=lifespan)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+@app.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+    await websocket.accept()
+    print("WebSocket connection accepted")
+    try:
+        await run_bot_websocket_server(websocket)  # Just the handler, not a server
+    except WebSocketDisconnect:
+        print("WebSocket disconnected")
+    except Exception as e:
+        print(f"Error in WebSocket handler: {e}")
+
+@app.post("/connect")
+async def bot_connect(request: Request) -> Dict[Any, Any]:
+    proto = "ws"
+    if "x-forwarded-proto" in request.headers and request.headers["x-forwarded-proto"] == "https":
+        proto = "wss"
+    
+    host = request.headers.get("host", "localhost:7860")
+    
+    return {"ws_url": f"{proto}://{host}/ws"}
+
+app.mount("/", StaticFiles(directory="static", html=True), name="static")
+
+if __name__ == "__main__":
+    uvicorn.run("server:app", host="0.0.0.0", port=7860, reload=False)

service/Dia/tts.py

@@ -0,0 +1,90 @@
+import asyncio
+from typing import AsyncGenerator
+
+import numpy as np
+import torch
+from dia.model import Dia
+from loguru import logger
+from pydantic import BaseModel, Field
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    Frame,
+    TTSAudioRawFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+)
+from pipecat.services.tts_service import TTSService
+
+
+class DiaTTSService(TTSService):
+    """TTS service for Dia.
+    This service uses Dia to generate speech.
+    It does not support streaming and will generate the entire audio at once.
+    """
+
+    class InputParams(BaseModel):
+        """Configuration parameters for Dia TTS service."""
+
+        use_torch_compile: bool = Field(False)
+        verbose: bool = Field(False)
+
+    def __init__(
+        self,
+        *,
+        model_name: str = "nari-labs/Dia-1.6B",
+        compute_dtype: str = "float32",
+        device: str = "cpu",
+        sample_rate: int = 24000,
+        params: InputParams = InputParams(),
+        **kwargs,
+    ):
+        """Initialize Dia TTS service."""
+        super().__init__(sample_rate=sample_rate, **kwargs)
+        logger.info(f"Initializing Dia TTS service with model: {model_name}")
+
+        torch_device = torch.device(device)
+
+        self._model = Dia.from_pretrained(
+            model_name, compute_dtype=compute_dtype, device=torch_device
+        )
+        self._settings = params.dict()
+        logger.info("Dia TTS service initialized")
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        logger.debug(f"Generating TTS for: [{text}]")
+        try:
+            await self.start_ttfb_metrics()
+            yield TTSStartedFrame()
+
+            loop = asyncio.get_running_loop()
+
+            await self.start_tts_usage_metrics(text)
+
+            output = await loop.run_in_executor(
+                None,
+                self._model.generate,
+                text,
+                self._settings["use_torch_compile"],
+                self._settings["verbose"],
+            )
+
+            audio_tensor = output["audio_tensor"]
+
+            # The tensor is float32 in range [-1, 1], shape (1, N).
+            # Convert to int16 bytes for pipecat.
+            audio_data = (audio_tensor.cpu().numpy() * 32767).astype(np.int16).tobytes()
+
+            yield TTSAudioRawFrame(
+                audio=audio_data,
+                sample_rate=self.sample_rate,
+                num_channels=1,
+            )
+
+            yield TTSStoppedFrame()
+        except Exception as e:
+            logger.error(f"{self} exception: {e}", exc_info=True)
+            yield ErrorFrame(f"Error generating audio: {str(e)}")

service/Kokoro/tts.py

@@ -0,0 +1,169 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+# This code originally written by Marmik Pandya (marmikcfc - github.com/marmikcfc)
+
+
+import numpy as np
+from typing import AsyncGenerator, List, Optional, Union
+
+from loguru import logger
+from pydantic import BaseModel
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    Frame,
+    TTSAudioRawFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+)
+from pipecat.services.tts_service import TTSService
+from pipecat.transcriptions.language import Language
+
+# load Kokoro from kokoro-onnx
+try:
+    from kokoro_onnx import Kokoro
+except ModuleNotFoundError as e:
+    logger.error(f"Exception: {e}")
+    logger.error(
+        "In order to use Kokoro, you need to `pip install kokoro-onnx`. Also, download the model files from the Kokoro repository."
+    )
+    raise Exception(f"Missing module: {e}")
+
+
+def language_to_kokoro_language(language: Language) -> Optional[str]:
+    """Convert pipecat Language to Kokoro language code."""
+    BASE_LANGUAGES = {
+        Language.EN: "en-us",
+        Language.FR: "fr-fr",
+        Language.IT: "it",
+        Language.JA: "ja",
+        Language.CMN: "cmn"
+        # Add more language mappings as supported by Kokoro
+    }
+
+    result = BASE_LANGUAGES.get(language)
+
+    # If not found in base languages, try to find the base language from a variant
+    if not result:
+        lang_str = str(language.value)
+        base_code = lang_str.split("-")[0].lower()
+        # Look up the base code in our supported languages
+        result = f"{base_code}-us" if base_code in ["en"] else None
+
+    return result
+
+
+class KokoroTTSService(TTSService):
+    """Text-to-Speech service using Kokoro for on-device TTS.
+    
+    This service uses Kokoro to generate speech without requiring external API connections.
+    """
+    class InputParams(BaseModel):
+        """Configuration parameters for Kokoro TTS service."""
+        language: Optional[Language] = Language.EN
+        speed: Optional[float] = 1.0
+
+    def __init__(
+        self,
+        *,
+        model_path: str,
+        voices_path: str,
+        voice_id: str = "af_sarah",
+        sample_rate: Optional[int] = None,
+        params: InputParams = InputParams(),
+        **kwargs,
+    ):
+        """Initialize Kokoro TTS service.
+        
+        Args:
+            model_path: Path to the Kokoro ONNX model file
+            voices_path: Path to the Kokoro voices file
+            voice_id: ID of the voice to use
+            sample_rate: Output audio sample rate
+            params: Additional configuration parameters
+        """
+        super().__init__(sample_rate=sample_rate, **kwargs)
+        logger.info(f"Initializing Kokoro TTS service with model_path: {model_path} and voices_path: {voices_path}")
+        self._kokoro = Kokoro(model_path, voices_path)
+        logger.info(f"Kokoro initialized")
+        self._settings = {
+            "language": self.language_to_service_language(params.language)
+            if params.language
+            else "en-us",
+            "speed": params.speed,
+        }
+        self.set_voice(voice_id)  # Presumably this sets self._voice_id
+
+        logger.info("Kokoro TTS service initialized")
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    def language_to_service_language(self, language: Language) -> Optional[str]:
+        """Convert pipecat language to Kokoro language code."""
+        return language_to_kokoro_language(language)
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        """Generate speech from text using Kokoro in a streaming fashion.
+        
+        Args:
+            text: The text to convert to speech
+            
+        Yields:
+            Frames containing audio data and status information.
+        """
+        logger.debug(f"Generating TTS: [{text}]")
+        try:
+            await self.start_ttfb_metrics()
+            yield TTSStartedFrame()
+
+            # Use Kokoro's streaming mode. The create_stream method is assumed to return
+            # an async generator that yields (samples, sample_rate) tuples, where samples is a numpy array.
+            logger.info(f"Creating stream")
+            stream = self._kokoro.create_stream(
+                text,
+                voice=self._voice_id,
+                speed=self._settings["speed"],
+                lang=self._settings["language"],
+            )
+
+
+            await self.start_tts_usage_metrics(text)
+            started = False
+            async for samples, sample_rate in stream:
+                if not started:
+                    started = True
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                    logger.info(f"Started streaming")
+                # Convert the float32 samples (assumed in the range [-1, 1]) to int16 PCM format
+                samples_int16 = (samples * 32767).astype(np.int16)
+                yield TTSAudioRawFrame(
+                    audio=samples_int16.tobytes(),
+                    sample_rate=sample_rate,
+                    num_channels=1,
+                )
+
+            yield TTSStoppedFrame()
+
+        except Exception as e:
+            logger.error(f"{self} exception: {e}")
+            yield ErrorFrame(f"Error generating audio: {str(e)}")

service/chatterbot/tts.py

@@ -0,0 +1,146 @@
+import asyncio
+import base64
+import re
+import tempfile
+from typing import AsyncGenerator, Optional, List
+
+import aiohttp
+import numpy as np
+import torchaudio as ta
+from chatterbox.tts import ChatterboxTTS
+from loguru import logger
+from pydantic import BaseModel, Field
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    Frame,
+    TTSAudioRawFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+)
+from pipecat.services.tts_service import TTSService
+from pipecat.transcriptions.language import Language
+
+
+class ChatterboxTTSService(TTSService):
+    """Text-to-Speech service using Chatterbox for on-device TTS.
+
+    This service uses Chatterbox to generate speech. It supports voice cloning
+    from an audio prompt.
+    """
+
+    class InputParams(BaseModel):
+        """Configuration parameters for Chatterbox TTS service."""
+
+        audio_prompt: Optional[str] = Field(
+            None, description="URL or file path to an audio prompt for voice cloning."
+        )
+        exaggeration: float = Field(0.5, ge=0.0, le=1.0)
+        cfg: float = Field(0.5, ge=0.0, le=1.0)
+        temperature: float = Field(0.8, ge=0.0, le=1.0)
+
+    def __init__(
+        self,
+        *,
+        device: str = "cpu",
+        params: InputParams = InputParams(),
+        **kwargs,
+    ):
+        """Initialize Chatterbox TTS service.
+
+        Args:
+            device: The device to run the model on (e.g., "cpu", "cuda").
+            params: Configuration parameters for TTS generation.
+        """
+        super().__init__(**kwargs)
+        logger.info(f"Initializing Chatterbox TTS service on device: {device}")
+        self._model = ChatterboxTTS.from_pretrained(device=device)
+        self._sample_rate = self._model.sr
+        self._settings = params.dict()
+        self._temp_files: List[str] = []
+        logger.info("Chatterbox TTS service initialized")
+
+    def __del__(self):
+        self._cleanup_temp_files()
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    def language_to_service_language(self, language: Language) -> Optional[str]:
+        """Returns the language code for Chatterbox TTS. Only English is supported."""
+        if language.value.startswith("en"):
+            return "en"
+        logger.warning(
+            f"Chatterbox TTS only supports English, but got {language}. Defaulting to English."
+        )
+        return "en"
+
+    async def _handle_audio_prompt(self, audio_prompt: str) -> Optional[str]:
+        if re.match(r"^https?://", audio_prompt):
+            try:
+                async with aiohttp.ClientSession() as session:
+                    async with session.get(audio_prompt) as resp:
+                        resp.raise_for_status()
+                        content = await resp.read()
+                        tmp_file = tempfile.NamedTemporaryFile(
+                            delete=False, suffix=".wav"
+                        )
+                        tmp_file.write(content)
+                        tmp_file.close()
+                        self._temp_files.append(tmp_file.name)
+                        return tmp_file.name
+            except Exception as e:
+                logger.error(f"Error downloading audio prompt from URL: {e}")
+                return None
+        return audio_prompt
+
+    def _cleanup_temp_files(self):
+        import os
+
+        for temp_file in self._temp_files:
+            try:
+                if os.path.exists(temp_file):
+                    os.unlink(temp_file)
+            except OSError as e:
+                logger.warning(f"Error cleaning up temp file {temp_file}: {e}")
+        self._temp_files.clear()
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        """Generate speech from text using Chatterbox."""
+        logger.debug(f"Generating TTS for: [{text}]")
+
+        try:
+            await self.start_ttfb_metrics()
+            yield TTSStartedFrame()
+
+            audio_prompt_path = self._settings.get("audio_prompt")
+            if audio_prompt_path:
+                audio_prompt_path = await self._handle_audio_prompt(audio_prompt_path)
+
+            await self.start_tts_usage_metrics(text)
+            
+            loop = asyncio.get_running_loop()
+            wav = await loop.run_in_executor(
+                None,
+                self._model.generate,
+                text,
+                audio_prompt_path,
+                self._settings["exaggeration"],
+                self._settings["cfg"],
+                self._settings["temperature"],
+            )
+
+            audio_data = (wav.cpu().numpy() * 32767).astype(np.int16).tobytes()
+            yield TTSAudioRawFrame(
+                audio=audio_data,
+                sample_rate=self._sample_rate,
+                num_channels=1,
+            )
+
+            yield TTSStoppedFrame()
+        except Exception as e:
+            logger.error(f"{self} exception: {e}", exc_info=True)
+            yield ErrorFrame(f"Error generating audio: {e}")
+        finally:
+            self._cleanup_temp_files()
+

service/orpheus/tts.py

@@ -0,0 +1,111 @@
+import asyncio
+from queue import Queue
+from threading import Thread
+from typing import AsyncGenerator, List, Optional
+
+from loguru import logger
+from orpheus_tts import OrpheusModel
+from pydantic import BaseModel, Field
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    Frame,
+    TTSAudioRawFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+)
+from pipecat.services.tts_service import TTSService
+
+
+class OrpheusTTSService(TTSService):
+    """TTS service for Orpheus.
+
+    This service uses Orpheus to generate speech. It streams the audio chunks.
+    """
+
+    class InputParams(BaseModel):
+        """Configuration parameters for Orpheus TTS service."""
+
+        voice: str = Field("tara", description="Voice to use for generation.")
+        repetition_penalty: Optional[float] = Field(1.1)
+        stop_token_ids: Optional[List[int]] = Field([128258])
+        max_tokens: Optional[int] = Field(2000)
+        temperature: Optional[float] = Field(0.4)
+        top_p: Optional[float] = Field(0.9)
+
+    def __init__(
+        self,
+        *,
+        model_name: str = "canopylabs/orpheus-tts-0.1-finetune-prod",
+        sample_rate: int = 24000,
+        params: InputParams = InputParams(),
+        **kwargs,
+    ):
+        """Initialize Orpheus TTS service.
+
+        Args:
+            model_name: The name of the Orpheus model to use.
+            sample_rate: The sample rate of the audio.
+            params: Configuration parameters for TTS generation.
+        """
+        super().__init__(sample_rate=sample_rate, **kwargs)
+        logger.info(f"Initializing Orpheus TTS service with model: {model_name}")
+        self._model = OrpheusModel(model_name=model_name)
+        self._settings = params.dict()
+        logger.info("Orpheus TTS service initialized")
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        logger.debug(f"Generating TTS for: [{text}]")
+        try:
+            await self.start_ttfb_metrics()
+            yield TTSStartedFrame()
+
+            loop = asyncio.get_running_loop()
+            q = Queue()
+
+            def generate():
+                try:
+                    stream = self._model.generate_speech(
+                        prompt=text,
+                        voice=self._settings["voice"],
+                        repetition_penalty=self._settings["repetition_penalty"],
+                        stop_token_ids=self._settings["stop_token_ids"],
+                        max_tokens=self._settings["max_tokens"],
+                        temperature=self._settings["temperature"],
+                        top_p=self._settings["top_p"],
+                    )
+                    for chunk in stream:
+                        q.put(chunk)
+                except Exception as e:
+                    logger.error(
+                        f"Error in Orpheus generate_speech thread: {e}", exc_info=True
+                    )
+                    q.put(e)
+                finally:
+                    q.put(None)  # Sentinel to indicate end of stream
+
+            thread = Thread(target=generate)
+            thread.start()
+
+            await self.start_tts_usage_metrics(text)
+
+            while True:
+                item = await loop.run_in_executor(None, q.get)
+                if isinstance(item, Exception):
+                    raise item
+                if item is None:
+                    break
+
+                yield TTSAudioRawFrame(
+                    audio=item, sample_rate=self.sample_rate, num_channels=1
+                )
+
+            thread.join()
+
+            yield TTSStoppedFrame()
+        except Exception as e:
+            logger.error(f"{self} exception: {e}", exc_info=True)
+            yield ErrorFrame(f"Error generating audio: {str(e)}")