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Upload folder using huggingface_hub
Browse files- README.md +8 -5
- app.py +146 -0
- index.html +222 -0
- requirements.txt +4 -0
README.md
CHANGED
@@ -1,12 +1,15 @@
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---
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-
title: Talk
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 5.16.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Talk to OpenAI
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emoji: 🗣️
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colorFrom: purple
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colorTo: red
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sdk: gradio
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sdk_version: 5.16.0
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app_file: app.py
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pinned: false
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license: mit
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short_description: Talk to OpenAI using their multimodal API
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tags: [webrtc, websocket, gradio, secret|TWILIO_ACCOUNT_SID, secret|TWILIO_AUTH_TOKEN, secret|OPENAI_API_KEY]
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
ADDED
@@ -0,0 +1,146 @@
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import asyncio
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import base64
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from pathlib import Path
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import gradio as gr
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from gradio.utils import get_space
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import numpy as np
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import json
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import openai
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from dotenv import load_dotenv
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from fastrtc import (
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AdditionalOutputs,
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AsyncStreamHandler,
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Stream,
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get_twilio_turn_credentials,
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)
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from fastapi.responses import HTMLResponse, StreamingResponse
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from openai.types.beta.realtime import ResponseAudioTranscriptDoneEvent
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load_dotenv()
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cur_dir = Path(__file__).parent
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SAMPLE_RATE = 24000
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class OpenAIHandler(AsyncStreamHandler):
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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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expected_layout="mono",
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output_sample_rate=SAMPLE_RATE,
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output_frame_size=480,
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input_sample_rate=SAMPLE_RATE,
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)
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self.connection = None
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self.connected = asyncio.Event()
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self.output_queue = asyncio.Queue()
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def copy(self):
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return OpenAIHandler()
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async def _initialize_connection(
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self,
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):
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"""Connect to realtime API. Run forever in separate thread to keep connection open."""
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self.client = openai.AsyncOpenAI()
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async with self.client.beta.realtime.connect(
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model="gpt-4o-mini-realtime-preview-2024-12-17"
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) as conn:
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await conn.session.update(
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session={"turn_detection": {"type": "server_vad"}}
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)
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self.connection = conn
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self.connected.set()
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async for event in self.connection:
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if event.type == "response.audio_transcript.done":
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await self.output_queue.put(AdditionalOutputs(event))
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if event.type == "response.audio.delta":
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await self.output_queue.put(
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(
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self.output_sample_rate,
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np.frombuffer(
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base64.b64decode(event.delta), dtype=np.int16
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).reshape(1, -1),
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),
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)
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async def receive(self, frame: tuple[int, np.ndarray]) -> None:
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if not self.connection:
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await self.fetch_args()
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asyncio.create_task(self._initialize_connection())
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await self.connected.wait()
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try:
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_, array = frame
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array = array.squeeze()
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audio_message = base64.b64encode(array.tobytes()).decode("utf-8")
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await self.connection.input_audio_buffer.append(audio=audio_message) # type: ignore
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except Exception as e:
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# print traceback
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print(f"Error in receive: {str(e)}")
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import traceback
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traceback.print_exc()
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async def emit(self) -> tuple[int, np.ndarray] | AdditionalOutputs | None:
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if not self.connection:
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return None
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return await self.output_queue.get()
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def reset_state(self):
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"""Reset connection state for new recording session"""
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self.connection = None
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self.args_set.clear()
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self.connected.clear()
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async def shutdown(self) -> None:
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if self.connection:
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await self.connection.close()
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self.reset_state()
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def update_chatbot(chatbot: list[dict], response: ResponseAudioTranscriptDoneEvent):
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chatbot.append({"role": "assistant", "content": response.transcript})
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return chatbot
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chatbot = gr.Chatbot(type="messages")
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latest_message = gr.Textbox(type="text", visible=False)
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stream = Stream(
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OpenAIHandler(),
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mode="send-receive",
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modality="audio",
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additional_inputs=[chatbot],
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additional_outputs=[chatbot],
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additional_outputs_handler=update_chatbot,
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rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
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)
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@stream.get("/")
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async def _():
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rtc_config = get_twilio_turn_credentials() if get_space() else None
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html_content = (cur_dir / "index.html").read_text()
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html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
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return HTMLResponse(content=html_content)
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@stream.get("/outputs")
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def _(webrtc_id: str):
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async def output_stream():
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import json
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async for output in stream.output_stream(webrtc_id):
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s = json.dumps({"role": "assistant", "content": output.args[0].transcript})
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yield f"event: output\ndata: {s}\n\n"
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return StreamingResponse(output_stream(), media_type="text/event-stream")
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(stream, host="0.0.0.0", port=7860)
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index.html
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<!DOCTYPE html>
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2 |
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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7 |
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<title>OpenAI Real-Time Chat</title>
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<style>
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9 |
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body {
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10 |
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font-family: "SF Pro Display", -apple-system, BlinkMacSystemFont, sans-serif;
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11 |
+
background-color: #0a0a0a;
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+
color: #ffffff;
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13 |
+
margin: 0;
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14 |
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padding: 20px;
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15 |
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height: 100vh;
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16 |
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box-sizing: border-box;
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}
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+
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19 |
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.container {
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20 |
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max-width: 800px;
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margin: 0 auto;
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22 |
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height: calc(100% - 100px);
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}
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24 |
+
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.logo {
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26 |
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text-align: center;
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27 |
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margin-bottom: 40px;
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28 |
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}
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29 |
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.chat-container {
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31 |
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border: 1px solid #333;
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+
padding: 20px;
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33 |
+
height: 90%;
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34 |
+
box-sizing: border-box;
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35 |
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display: flex;
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36 |
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flex-direction: column;
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37 |
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}
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.chat-messages {
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flex-grow: 1;
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+
overflow-y: auto;
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42 |
+
margin-bottom: 20px;
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43 |
+
padding: 10px;
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44 |
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}
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+
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.message {
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47 |
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margin-bottom: 20px;
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48 |
+
padding: 12px;
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49 |
+
border-radius: 4px;
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50 |
+
font-size: 16px;
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51 |
+
line-height: 1.5;
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52 |
+
}
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53 |
+
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54 |
+
.message.user {
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55 |
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background-color: #1a1a1a;
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56 |
+
margin-left: 20%;
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57 |
+
}
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58 |
+
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.message.assistant {
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60 |
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background-color: #262626;
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61 |
+
margin-right: 20%;
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62 |
+
}
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63 |
+
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+
.controls {
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65 |
+
text-align: center;
|
66 |
+
margin-top: 20px;
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67 |
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}
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68 |
+
|
69 |
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button {
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70 |
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background-color: transparent;
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71 |
+
color: #ffffff;
|
72 |
+
border: 1px solid #ffffff;
|
73 |
+
padding: 12px 24px;
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74 |
+
font-family: inherit;
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75 |
+
font-size: 16px;
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76 |
+
cursor: pointer;
|
77 |
+
transition: all 0.3s;
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78 |
+
text-transform: uppercase;
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79 |
+
letter-spacing: 1px;
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80 |
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}
|
81 |
+
|
82 |
+
button:hover {
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83 |
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background-color: #ffffff;
|
84 |
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color: #0a0a0a;
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85 |
+
}
|
86 |
+
|
87 |
+
#audio-output {
|
88 |
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display: none;
|
89 |
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}
|
90 |
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</style>
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91 |
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</head>
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92 |
+
|
93 |
+
<body>
|
94 |
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<div class="container">
|
95 |
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<div class="logo">
|
96 |
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<h1>OpenAI Real-Time Chat</h1>
|
97 |
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</div>
|
98 |
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<div class="chat-container">
|
99 |
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<div class="chat-messages" id="chat-messages"></div>
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100 |
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</div>
|
101 |
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<div class="controls">
|
102 |
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<button id="start-button">Start Conversation</button>
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103 |
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</div>
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104 |
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</div>
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105 |
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<audio id="audio-output"></audio>
|
106 |
+
|
107 |
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<script>
|
108 |
+
let peerConnection;
|
109 |
+
let webrtc_id;
|
110 |
+
const audioOutput = document.getElementById('audio-output');
|
111 |
+
const startButton = document.getElementById('start-button');
|
112 |
+
const chatMessages = document.getElementById('chat-messages');
|
113 |
+
|
114 |
+
async function setupWebRTC() {
|
115 |
+
const config = __RTC_CONFIGURATION__;
|
116 |
+
|
117 |
+
peerConnection = new RTCPeerConnection();
|
118 |
+
|
119 |
+
try {
|
120 |
+
const stream = await navigator.mediaDevices.getUserMedia({
|
121 |
+
audio: true
|
122 |
+
});
|
123 |
+
|
124 |
+
stream.getTracks().forEach(track => {
|
125 |
+
peerConnection.addTrack(track, stream);
|
126 |
+
});
|
127 |
+
|
128 |
+
peerConnection.addEventListener('track', (evt) => {
|
129 |
+
if (audioOutput.srcObject !== evt.streams[0]) {
|
130 |
+
audioOutput.srcObject = evt.streams[0];
|
131 |
+
audioOutput.play();
|
132 |
+
}
|
133 |
+
});
|
134 |
+
|
135 |
+
const dataChannel = peerConnection.createDataChannel('text');
|
136 |
+
|
137 |
+
const offer = await peerConnection.createOffer();
|
138 |
+
await peerConnection.setLocalDescription(offer);
|
139 |
+
|
140 |
+
await new Promise((resolve) => {
|
141 |
+
if (peerConnection.iceGatheringState === "complete") {
|
142 |
+
resolve();
|
143 |
+
} else {
|
144 |
+
const checkState = () => {
|
145 |
+
if (peerConnection.iceGatheringState === "complete") {
|
146 |
+
peerConnection.removeEventListener("icegatheringstatechange", checkState);
|
147 |
+
resolve();
|
148 |
+
}
|
149 |
+
};
|
150 |
+
peerConnection.addEventListener("icegatheringstatechange", checkState);
|
151 |
+
}
|
152 |
+
});
|
153 |
+
|
154 |
+
webrtc_id = Math.random().toString(36).substring(7);
|
155 |
+
|
156 |
+
const response = await fetch('/webrtc/offer', {
|
157 |
+
method: 'POST',
|
158 |
+
headers: { 'Content-Type': 'application/json' },
|
159 |
+
body: JSON.stringify({
|
160 |
+
sdp: offer.sdp,
|
161 |
+
type: offer.type,
|
162 |
+
webrtc_id: webrtc_id
|
163 |
+
})
|
164 |
+
});
|
165 |
+
|
166 |
+
const serverResponse = await response.json();
|
167 |
+
await peerConnection.setRemoteDescription(serverResponse);
|
168 |
+
|
169 |
+
const eventSource = new EventSource('/outputs?webrtc_id=' + webrtc_id);
|
170 |
+
eventSource.addEventListener("output", (event) => {
|
171 |
+
const eventJson = JSON.parse(event.data);
|
172 |
+
addMessage("assistant", eventJson.content);
|
173 |
+
|
174 |
+
});
|
175 |
+
} catch (err) {
|
176 |
+
console.error('Error setting up WebRTC:', err);
|
177 |
+
}
|
178 |
+
}
|
179 |
+
|
180 |
+
function addMessage(role, content) {
|
181 |
+
const messageDiv = document.createElement('div');
|
182 |
+
messageDiv.classList.add('message', role);
|
183 |
+
messageDiv.textContent = content;
|
184 |
+
chatMessages.appendChild(messageDiv);
|
185 |
+
chatMessages.scrollTop = chatMessages.scrollHeight;
|
186 |
+
}
|
187 |
+
|
188 |
+
function stop() {
|
189 |
+
if (peerConnection) {
|
190 |
+
if (peerConnection.getTransceivers) {
|
191 |
+
peerConnection.getTransceivers().forEach(transceiver => {
|
192 |
+
if (transceiver.stop) {
|
193 |
+
transceiver.stop();
|
194 |
+
}
|
195 |
+
});
|
196 |
+
}
|
197 |
+
|
198 |
+
if (peerConnection.getSenders) {
|
199 |
+
peerConnection.getSenders().forEach(sender => {
|
200 |
+
if (sender.track && sender.track.stop) sender.track.stop();
|
201 |
+
});
|
202 |
+
}
|
203 |
+
|
204 |
+
setTimeout(() => {
|
205 |
+
peerConnection.close();
|
206 |
+
}, 500);
|
207 |
+
}
|
208 |
+
}
|
209 |
+
|
210 |
+
startButton.addEventListener('click', () => {
|
211 |
+
if (startButton.textContent === 'Start Conversation') {
|
212 |
+
setupWebRTC();
|
213 |
+
startButton.textContent = 'Stop Conversation';
|
214 |
+
} else {
|
215 |
+
stop();
|
216 |
+
startButton.textContent = 'Start Conversation';
|
217 |
+
}
|
218 |
+
});
|
219 |
+
</script>
|
220 |
+
</body>
|
221 |
+
|
222 |
+
</html>
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
fastrtc[vad]==0.0.32rc1
|
2 |
+
openai
|
3 |
+
twilio
|
4 |
+
python-dotenv
|