app.py

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_cloudflare_turn_credentials_async,
    wait_for_item,
)
from google import genai
from google.genai import types
from google.genai.types import (
    LiveConnectConfig,
    PrebuiltVoiceConfig,
    SpeechConfig,
    VoiceConfig,
    Tool,
    GoogleSearch,
    Content,
    Part,
)
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,
    ) -> None:
        super().__init__(
            expected_layout,
            output_sample_rate,
            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,
        )

    async def start_up(self):
        if not self.phone_mode:
            await self.wait_for_args()
            api_key, voice_name, system_message = self.latest_args[1:]
        else:
            api_key, voice_name, system_message = None, "Kore", "Du bist ein hilfsamer Assistent."

        client = genai.Client(
            api_key=api_key or os.getenv("GEMINI_API_KEY"),
            http_options={"api_version": "v1alpha"},
        )

        # Define the tools and system instruction
        tools = [
            Tool(google_search=GoogleSearch()),
        ]
        system_instruction = Content(
            parts=[Part.from_text(text=f"{system_message}")],
            role="user"
        )

        config = LiveConnectConfig(
            response_modalities=["AUDIO"],  # type: ignore
            speech_config=SpeechConfig(
                language_code="de-DE",
                voice_config=VoiceConfig(
                    prebuilt_voice_config=PrebuiltVoiceConfig(
                        voice_name=voice_name,
                    )
                )
            ),
            tools=tools,
            system_instruction=system_instruction,
        )
        
        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((self.output_sample_rate, 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] | None:
        return await wait_for_item(self.output_queue)

    def shutdown(self) -> None:
        self.quit.set()


stream = Stream(
    modality="audio",
    mode="send-receive",
    handler=GeminiHandler(),
    rtc_configuration=get_cloudflare_turn_credentials_async if get_space() else None,
    concurrency_limit=5 if get_space() else None,
    time_limit=900 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="Kore",  # Changed default to Kore
        ),
        gr.Textbox(
            label="System Message",
            placeholder="Enter system instructions for the AI...",
            value="Du bist ein hilfsamer Assistent, der Fragen beantwortet und bei verschiedenen Aufgaben hilft. Du kannst bei Bedarf auch im Internet suchen, um aktuelle Informationen zu finden.",
            lines=3,
        ),
    ],
)


class InputData(BaseModel):
    webrtc_id: str
    voice_name: str
    api_key: str
    system_message: str


app = FastAPI()

stream.mount(app)


@app.post("/input_hook")
async def _(body: InputData):
    stream.set_input(body.webrtc_id, body.api_key, body.voice_name, body.system_message)
    return {"status": "ok"}


@app.get("/")
async def index():
    rtc_config = await get_cloudflare_turn_credentials_async() 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)