app.py

## Documentation
# Quickstart: https://github.com/google-gemini/cookbook/blob/main/quickstarts/Get_started_LiveAPI.py
#
## Setup
#
# To install the dependencies for this script, run:
#
# ```
# pip install google-genai opencv-python pyaudio pillow mss
# ```


import asyncio
import base64
import io
import traceback

import cv2
import pyaudio
import PIL.Image
import mss

import argparse

from google import genai
from google.genai import types

import gradio as gr

FORMAT = pyaudio.paInt16
CHANNELS = 1
SEND_SAMPLE_RATE = 16000
RECEIVE_SAMPLE_RATE = 24000
CHUNK_SIZE = 1024

MODEL = "models/gemini-2.0-flash-exp"

DEFAULT_MODE = "camera"

# Replace with your actual API key
# client = genai.Client(http_options={"api_version": "v1alpha"}, api_key="YOUR_API_KEY")
client = genai.Client(http_options={"api_version": "v1alpha"}, api_key="GEMINI_API_KEY")

# While Gemini 2.0 Flash is in experimental preview mode, only one of AUDIO or
# TEXT may be passed here.
CONFIG = types.LiveConnectConfig(
    response_modalities=[
        "audio",
    ],
    speech_config=types.SpeechConfig(
        voice_config=types.VoiceConfig(
            prebuilt_voice_config=types.PrebuiltVoiceConfig(voice_name="Puck")
        )
    ),
    system_instruction=types.Content(
        parts=[types.Part.from_text(text="Answer user ask   replay same thing user say no other word explain ")],
        role="user"
    ),
)

pya = pyaudio.PyAudio()


class AudioLoop:
    def __init__(self, video_mode=DEFAULT_MODE):
        self.video_mode = video_mode

        self.audio_in_queue = None
        self.out_queue = None

        self.session = None

        self.send_text_task = None
        self.receive_audio_task = None
        self.play_audio_task = None

    async def send_text(self, text):
        # while True:
        #     text = await asyncio.to_thread(
        #         input,
        #         "message > ",
        #     )
        #     if text.lower() == "q":
        #         break
        await self.session.send(input=text or ".", end_of_turn=True)

    def _get_frame(self, cap):
        # Read the frameq
        ret, frame = cap.read()
        # Check if the frame was read successfully
        if not ret:
            return None
        # Fix: Convert BGR to RGB color space
        # OpenCV captures in BGR but PIL expects RGB format
        # This prevents the blue tint in the video feed
        frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        img = PIL.Image.fromarray(frame_rgb)  # Now using RGB frame
        img.thumbnail([1024, 1024])

        image_io = io.BytesIO()
        img.save(image_io, format="jpeg")
        image_io.seek(0)

        mime_type = "image/jpeg"
        image_bytes = image_io.read()
        return {"mime_type": mime_type, "data": base64.b64encode(image_bytes).decode()}

    async def get_frames(self):
        # This takes about a second, and will block the whole program
        # causing the audio pipeline to overflow if you don't to_thread it.
        cap = await asyncio.to_thread(
            cv2.VideoCapture, 0
        )  # 0 represents the default camera

        while True:
            frame = await asyncio.to_thread(self._get_frame, cap)
            if frame is None:
                break

            await asyncio.sleep(1.0)

            await self.out_queue.put(frame)

        # Release the VideoCapture object
        cap.release()

    def _get_screen(self):
        sct = mss.mss()
        monitor = sct.monitors[0]

        i = sct.grab(monitor)

        mime_type = "image/jpeg"
        image_bytes = mss.tools.to_png(i.rgb, i.size)
        img = PIL.Image.open(io.BytesIO(image_bytes))

        image_io = io.BytesIO()
        img.save(image_io, format="jpeg")
        image_io.seek(0)

        image_bytes = image_io.read()
        return {"mime_type": mime_type, "data": base64.b64encode(image_bytes).decode()}

    async def get_screen(self):

        while True:
            frame = await asyncio.to_thread(self._get_screen)
            if frame is None:
                break

            await asyncio.sleep(1.0)

            await self.out_queue.put(frame)

    async def send_realtime(self):
        while True:
            msg = await self.out_queue.get()
            await self.session.send(input=msg)

    async def listen_audio(self):
        mic_info = pya.get_default_input_device_info()
        self.audio_stream = await asyncio.to_thread(
            pya.open,
            format=FORMAT,
            channels=CHANNELS,
            rate=SEND_SAMPLE_RATE,
            input=True,
            input_device_index=mic_info["index"],
            frames_per_buffer=CHUNK_SIZE,
        )
        if __debug__:
            kwargs = {"exception_on_overflow": False}
        else:
            kwargs = {}
        while True:
            data = await asyncio.to_thread(self.audio_stream.read, CHUNK_SIZE, **kwargs)
            await self.out_queue.put({"data": data, "mime_type": "audio/pcm"})

    async def receive_audio(self):
        "Background task to reads from the websocket and write pcm chunks to the output queue"
        while True:
            turn = self.session.receive()
            async for response in turn:
                if data := response.data:
                    self.audio_in_queue.put_nowait(data)
                    continue
                if text := response.text:
                    # print(text, end="") # Don't print to console, return it
                    return text  # Return the text to Gradio

            # If you interrupt the model, it sends a turn_complete.
            # For interruptions to work, we need to stop playback.
            # So empty out the audio queue because it may have loaded
            # much more audio than has played yet.
            while not self.audio_in_queue.empty():
                self.audio_in_queue.get_nowait()

    async def play_audio(self):
        stream = await asyncio.to_thread(
            pya.open,
            format=FORMAT,
            channels=CHANNELS,
            rate=RECEIVE_SAMPLE_RATE,
            output=True,
        )
        while True:
            bytestream = await self.audio_in_queue.get()
            await asyncio.to_thread(stream.write, bytestream)

    async def run(self):
        try:
            async with (
                client.aio.live.connect(model=MODEL, config=CONFIG) as session,
                asyncio.TaskGroup() as tg,
            ):
                self.session = session

                self.audio_in_queue = asyncio.Queue()
                self.out_queue = asyncio.Queue(maxsize=5)

                # send_text_task = tg.create_task(self.send_text()) #No text task anymore.
                tg.create_task(self.send_realtime())
                tg.create_task(self.listen_audio())
                if self.video_mode == "camera":
                    tg.create_task(self.get_frames())
                elif self.video_mode == "screen":
                    tg.create_task(self.get_screen())

                tg.create_task(self.receive_audio())
                tg.create_task(self.play_audio())

                # await send_text_task
                # raise asyncio.CancelledError("User requested exit")
                return await self.receive_audio() #return audio transcript result

        except asyncio.CancelledError:
            pass
        except ExceptionGroup as EG:
            self.audio_stream.close()
            traceback.print_exception(EG)
        except Exception as e:
            traceback.print_exc()  # Print the traceback for debugging
            return f"Error: {str(e)}" # Return error message


# Global instance
audio_loop = None  # Initialize the AudioLoop object

async def transcribe_audio(text_input):
    """
    Transcribes audio using the AudioLoop class and returns the result.
    """
    global audio_loop
    if audio_loop is None:
        audio_loop = AudioLoop(video_mode="none")  # Instantiate the class only once
        # You might want to handle the initialization differently based on your needs.

    loop = asyncio.get_event_loop()

    # if loop.is_running():
    #     print("Async event loop already running.  Using existing loop.")
    #     task = loop.create_task(audio_loop.send_text(text_input))
    #     return await task
    # else:
    #     print("Starting new async event loop.")
    #     return asyncio.run(audio_loop.send_text(text_input))

    if audio_loop.session is None:
        try:
            return await audio_loop.run()
        except Exception as e:
            print(f"Error in run(): {e}")
            traceback.print_exc()
            return f"Error: {str(e)}"
    else:
         try:
             await audio_loop.send_text(text_input)
             return await audio_loop.receive_audio()  # Assuming receive_audio returns a string
         except Exception as e:
             print(f"Error after session is established: {e}")
             traceback.print_exc()
             return f"Error: {str(e)}"


# Gradio interface
if __name__ == "__main__":
    iface = gr.Interface(
        fn=transcribe_audio,
        inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
        outputs="text",
        title="Gemini Live Connect Demo with Gradio",
        description="Enter text, and the model will replay same you said.  This is a demo of the Gemini Live Connect API with Gradio.",
    )
    iface.launch()