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Update app.py
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app.py
CHANGED
@@ -1,3 +1,63 @@
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async def start_up(self):
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client = genai.Client(
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api_key=os.getenv("GEMINI_API_KEY"), http_options={"api_version": "v1alpha"}
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@@ -34,36 +94,116 @@
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turn = self.session.receive()
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try:
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async for response in turn:
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# Check if data exists before trying to process it as audio
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if data := response.data:
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audio = np.frombuffer(data, dtype=np.int16).reshape(1, -1)
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-
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# You might want to handle other parts of the response here
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# e.g., response.text, response.tool_code, etc.
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# For now, we just ensure we don't crash if data is None.
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-
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except websockets.exceptions.ConnectionClosedOK:
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print("connection closed")
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break
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except Exception as e:
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# Catch other potential errors during response processing
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print(f"Error processing response: {e}")
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# Depending on the error, you might want to break or continue
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# For now, let's break to prevent infinite loops on persistent errors
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break
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async def receive(self, frame: tuple[int, np.ndarray]) -> None:
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_, array = frame
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array = array.squeeze()
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audio_message = encode_audio(array)
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import asyncio
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import base64
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import os
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import time
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from io import BytesIO
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import gradio as gr
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import numpy as np
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import websockets
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from dotenv import load_dotenv
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from fastrtc import (
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AsyncAudioVideoStreamHandler,
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Stream,
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WebRTC,
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get_cloudflare_turn_credentials_async,
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wait_for_item,
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)
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from google import genai
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from google.genai import types # Import the types module
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from gradio.utils import get_space
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from PIL import Image
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load_dotenv()
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def encode_audio(data: np.ndarray) -> dict:
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"""Encode Audio data to send to the server"""
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return {
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"mime_type": "audio/pcm",
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"data": base64.b64encode(data.tobytes()).decode("UTF-8"),
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}
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def encode_image(data: np.ndarray) -> dict:
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with BytesIO() as output_bytes:
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pil_image = Image.fromarray(data)
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pil_image.save(output_bytes, "JPEG")
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bytes_data = output_bytes.getvalue()
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base64_str = str(base64.b64encode(bytes_data), "utf-8")
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return {"mime_type": "image/jpeg", "data": base64_str}
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class GeminiHandler(AsyncAudioVideoStreamHandler):
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def __init__(
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self,
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) -> None:
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super().__init__(
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"mono",
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output_sample_rate=24000,
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input_sample_rate=16000,
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)
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self.audio_queue = asyncio.Queue()
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self.video_queue = asyncio.Queue()
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self.session = None
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self.last_frame_time = 0
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self.quit = asyncio.Event()
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def copy(self) -> "GeminiHandler":
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return GeminiHandler()
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async def start_up(self):
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client = genai.Client(
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api_key=os.getenv("GEMINI_API_KEY"), http_options={"api_version": "v1alpha"}
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turn = self.session.receive()
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try:
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async for response in turn:
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if data := response.data:
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audio = np.frombuffer(data, dtype=np.int16).reshape(1, -1)
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self.audio_queue.put_nowait(audio)
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except websockets.exceptions.ConnectionClosedOK:
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print("connection closed")
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break
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async def video_receive(self, frame: np.ndarray):
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self.video_queue.put_nowait(frame)
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if self.session:
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# send image every 1 second
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print(time.time() - self.last_frame_time)
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if time.time() - self.last_frame_time > 1:
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self.last_frame_time = time.time()
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await self.session.send(input=encode_image(frame))
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if self.latest_args[1] is not None:
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await self.session.send(input=encode_image(self.latest_args[1]))
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async def video_emit(self):
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frame = await wait_for_item(self.video_queue, 0.01)
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if frame is not None:
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return frame
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else:
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return np.zeros((100, 100, 3), dtype=np.uint8)
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async def receive(self, frame: tuple[int, np.ndarray]) -> None:
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_, array = frame
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array = array.squeeze()
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audio_message = encode_audio(array)
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if self.session:
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await self.session.send(input=audio_message)
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async def emit(self):
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array = await wait_for_item(self.audio_queue, 0.01)
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if array is not None:
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return (self.output_sample_rate, array)
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return array
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async def shutdown(self) -> None:
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if self.session:
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self.quit.set()
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await self.session.close()
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self.quit.clear()
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stream = Stream(
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handler=GeminiHandler(),
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modality="audio",
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mode="send-receive",
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rtc_configuration=get_cloudflare_turn_credentials_async,
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time_limit=180 if get_space() else None,
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additional_inputs=[
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gr.Image(label="Image", type="numpy", sources=["upload", "clipboard"])
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],
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ui_args={
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"icon": "https://www.gstatic.com/lamda/images/gemini_favicon_f069958c85030456e93de685481c559f160ea06b.png",
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"pulse_color": "rgb(255, 255, 255)",
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"icon_button_color": "rgb(255, 255, 255)",
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"title": "Gemini Audio Video Chat",
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},
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)
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css = """
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#video-source {max-width: 500px !important; max-height: 500px !important;}
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"""
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with gr.Blocks(css=css) as demo:
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gr.HTML(
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"""
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<div>
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<center>
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<h1>Gen AI Voice Chat</h1>
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<p>real-time audio streaming</p>
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</center>
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</div>
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"""
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)
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with gr.Row() as row:
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with gr.Column():
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webrtc = WebRTC(
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label="Voice Chat",
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modality="audio",
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mode="send-receive",
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elem_id="video-source",
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rtc_configuration=get_cloudflare_turn_credentials_async,
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icon="https://www.gstatic.com/lamda/images/gemini_favicon_f069958c85030456e93de685481c559f160ea06b.png",
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pulse_color="rgb(255, 255, 255)",
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icon_button_color="rgb(255, 255, 255)",
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)
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#with gr.Column():
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#image_input = gr.Image(
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#label="Image", type="numpy", sources=["upload", "clipboard"]
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#)
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webrtc.stream(
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GeminiHandler(),
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inputs=[webrtc],
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outputs=[webrtc],
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time_limit=180 if get_space() else None,
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concurrency_limit=2 if get_space() else None,
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)
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stream.ui = demo
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if __name__ == "__main__":
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if (mode := os.getenv("MODE")) == "UI":
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stream.ui.launch(server_port=7860)
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elif mode == "PHONE":
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raise ValueError("Phone mode not supported for this demo")
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else:
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stream.ui.launch(server_port=7860)
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