Commit
·
405ac70
1
Parent(s):
b4cd421
add code
Browse files- app.py +167 -0
- requirements.txt +2 -0
app.py
ADDED
@@ -0,0 +1,167 @@
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1 |
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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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from google import genai
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from gradio_webrtc import (
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AsyncAudioVideoStreamHandler,
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WebRTC,
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async_aggregate_bytes_to_16bit,
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VideoEmitType,
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AudioEmitType
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)
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from PIL import Image
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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 {"mime_type": "audio/pcm", "data": base64.b64encode(data.tobytes()).decode("UTF-8")}
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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, expected_layout="mono", output_sample_rate=24000, output_frame_size=480
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) -> None:
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super().__init__(
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expected_layout,
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output_sample_rate,
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output_frame_size,
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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.quit = asyncio.Event()
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self.session = None
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self.last_frame_time = 0
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def copy(self) -> "GeminiHandler":
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return GeminiHandler(
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expected_layout=self.expected_layout,
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output_sample_rate=self.output_sample_rate,
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output_frame_size=self.output_frame_size,
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)
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async def video_receive(self, frame: np.ndarray):
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if self.session:
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# send image every 1 second
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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(encode_image(frame))
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if self.latest_args[2] is not None:
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await self.session.send(encode_image(self.latest_args[2]))
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self.video_queue.put_nowait(frame)
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async def video_emit(self) -> VideoEmitType:
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return await self.video_queue.get()
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async def connect(self, api_key: str):
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if self.session is None:
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client = genai.Client(api_key=api_key, http_options={"api_version": "v1alpha"})
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config = {"response_modalities": ["AUDIO"]}
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async with client.aio.live.connect(
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model="gemini-2.0-flash-exp", config=config
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) as session:
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self.session = session
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asyncio.create_task(self.receive_audio())
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await self.quit.wait()
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async def generator(self):
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while not self.quit.is_set():
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turn = self.session.receive()
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async for response in turn:
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if data := response.data:
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yield data
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async def receive_audio(self):
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async for audio_response in async_aggregate_bytes_to_16bit(
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self.generator()
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):
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self.audio_queue.put_nowait(audio_response)
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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(audio_message)
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async def emit(self) -> AudioEmitType:
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if not self.args_set.is_set():
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await self.wait_for_args()
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if self.session is None:
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asyncio.create_task(self.connect(self.latest_args[1]))
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array = await self.audio_queue.get()
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return (self.output_sample_rate, array)
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def shutdown(self) -> None:
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self.quit.set()
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css = """
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#video-source {max-width: 600px !important; max-height: 600 !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 style='display: flex; align-items: center; justify-content: center; gap: 20px'>
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<div style="background-color: var(--block-background-fill); border-radius: 8px">
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<img src="https://www.gstatic.com/lamda/images/gemini_favicon_f069958c85030456e93de685481c559f160ea06b.png" style="width: 100px; height: 100px;">
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</div>
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<div>
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<h1>Gen AI SDK Voice Chat</h1>
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<p>Speak with Gemini using real-time audio + video streaming</p>
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<p>Powered by <a href="https://gradio.app/">Gradio</a> and <a href=https://freddyaboulton.github.io/gradio-webrtc/">WebRTC</a>⚡️</p>
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<p>Get an API Key <a href="https://support.google.com/googleapi/answer/6158862?hl=en">here</a></p>
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</div>
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</div>
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"""
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)
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with gr.Row() as api_key_row:
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api_key = gr.Textbox(label="API Key", type="password", placeholder="Enter your API Key", value=os.getenv("GOOGLE_API_KEY"))
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with gr.Row(visible=False) as row:
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with gr.Column():
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webrtc = WebRTC(
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label="Video Chat",
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modality="audio-video",
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mode="send-receive",
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elem_id="video-source",
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# See for changes needed to deploy behind a firewall
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# https://freddyaboulton.github.io/gradio-webrtc/deployment/
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rtc_configuration=None,
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icon="https://www.gstatic.com/lamda/images/gemini_favicon_f069958c85030456e93de685481c559f160ea06b.png",
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pulse_color="rgb(35, 157, 225)",
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icon_button_color="rgb(35, 157, 225)",
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)
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with gr.Column():
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image_input = gr.Image(label="Image", type="numpy", sources=["upload", "clipboard"])
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webrtc.stream(
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GeminiHandler(),
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inputs=[webrtc, api_key, image_input],
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outputs=[webrtc],
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time_limit=90,
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concurrency_limit=2,
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)
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api_key.submit(
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lambda: (gr.update(visible=False), gr.update(visible=True)),
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None,
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[api_key_row, row],
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)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
ADDED
@@ -0,0 +1,2 @@
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|
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1 |
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gradio_webrtc==0.0.28
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2 |
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google-genai==0.3.0
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