Spaces:
Runtime error
Runtime error
| import asyncio | |
| import base64 | |
| import json | |
| import os | |
| import pathlib | |
| from typing import AsyncGenerator, Literal | |
| import gradio as gr | |
| import numpy as np | |
| from dotenv import load_dotenv | |
| from fastapi import FastAPI | |
| from fastapi.responses import HTMLResponse | |
| from fastrtc import ( | |
| AsyncStreamHandler, | |
| Stream, | |
| get_twilio_turn_credentials, | |
| ) | |
| from google import genai | |
| from google.genai.types import ( | |
| LiveConnectConfig, | |
| PrebuiltVoiceConfig, | |
| SpeechConfig, | |
| VoiceConfig, | |
| ) | |
| from gradio.utils import get_space | |
| from pydantic import BaseModel | |
| current_dir = pathlib.Path(__file__).parent | |
| load_dotenv() | |
| def encode_audio(data: np.ndarray) -> str: | |
| """Encode Audio data to send to the server""" | |
| return base64.b64encode(data.tobytes()).decode("UTF-8") | |
| class GeminiHandler(AsyncStreamHandler): | |
| """Handler for the Gemini API""" | |
| def __init__( | |
| self, | |
| expected_layout: Literal["mono"] = "mono", | |
| output_sample_rate: int = 24000, | |
| output_frame_size: int = 480, | |
| ) -> None: | |
| super().__init__( | |
| expected_layout, | |
| output_sample_rate, | |
| output_frame_size, | |
| input_sample_rate=16000, | |
| ) | |
| self.input_queue: asyncio.Queue = asyncio.Queue() | |
| self.output_queue: asyncio.Queue = asyncio.Queue() | |
| self.quit: asyncio.Event = asyncio.Event() | |
| def copy(self) -> "GeminiHandler": | |
| return GeminiHandler( | |
| expected_layout="mono", | |
| output_sample_rate=self.output_sample_rate, | |
| output_frame_size=self.output_frame_size, | |
| ) | |
| async def start_up(self): | |
| await self.wait_for_args() | |
| api_key, voice_name = self.latest_args[1:] | |
| client = genai.Client( | |
| api_key=api_key or os.getenv("GEMINI_API_KEY"), | |
| http_options={"api_version": "v1alpha"}, | |
| ) | |
| config = LiveConnectConfig( | |
| response_modalities=["AUDIO"], # type: ignore | |
| speech_config=SpeechConfig( | |
| voice_config=VoiceConfig( | |
| prebuilt_voice_config=PrebuiltVoiceConfig( | |
| voice_name=voice_name, | |
| ) | |
| ) | |
| ), | |
| ) | |
| async with client.aio.live.connect( | |
| model="gemini-2.0-flash-exp", config=config | |
| ) as session: | |
| async for audio in session.start_stream( | |
| stream=self.stream(), mime_type="audio/pcm" | |
| ): | |
| if audio.data: | |
| array = np.frombuffer(audio.data, dtype=np.int16) | |
| self.output_queue.put_nowait(array) | |
| async def stream(self) -> AsyncGenerator[bytes, None]: | |
| while not self.quit.is_set(): | |
| try: | |
| audio = await asyncio.wait_for(self.input_queue.get(), 0.1) | |
| yield audio | |
| except (asyncio.TimeoutError, TimeoutError): | |
| pass | |
| async def receive(self, frame: tuple[int, np.ndarray]) -> None: | |
| _, array = frame | |
| array = array.squeeze() | |
| audio_message = encode_audio(array) | |
| self.input_queue.put_nowait(audio_message) | |
| async def emit(self) -> tuple[int, np.ndarray]: | |
| array = await self.output_queue.get() | |
| return (self.output_sample_rate, array) | |
| def shutdown(self) -> None: | |
| self.quit.set() | |
| self.args_set.clear() | |
| stream = Stream( | |
| modality="audio", | |
| mode="send-receive", | |
| handler=GeminiHandler(), | |
| rtc_configuration=get_twilio_turn_credentials() if get_space() else None, | |
| concurrency_limit=20 if get_space() else None, | |
| additional_inputs=[ | |
| gr.Textbox( | |
| label="API Key", | |
| type="password", | |
| value=os.getenv("GEMINI_API_KEY") if not get_space() else "", | |
| ), | |
| gr.Dropdown( | |
| label="Voice", | |
| choices=[ | |
| "Puck", | |
| "Charon", | |
| "Kore", | |
| "Fenrir", | |
| "Aoede", | |
| ], | |
| value="Puck", | |
| ), | |
| ], | |
| ) | |
| class InputData(BaseModel): | |
| webrtc_id: str | |
| voice_name: str | |
| api_key: str | |
| app = FastAPI() | |
| stream.mount(app) | |
| async def _(body: InputData): | |
| stream.set_input(body.webrtc_id, body.api_key, body.voice_name) | |
| return {"status": "ok"} | |
| async def index(): | |
| rtc_config = get_twilio_turn_credentials() if get_space() else None | |
| html_content = (current_dir / "index.html").read_text() | |
| html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config)) | |
| return HTMLResponse(content=html_content) | |
| 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) | |