mirror of
https://github.com/HumanAIGC-Engineering/gradio-webrtc.git
synced 2026-02-04 17:39:23 +08:00
5a4693ee0b
* Add auto errors * change code --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
78 lines
2.0 KiB
Python
78 lines
2.0 KiB
Python
import json
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from pathlib import Path
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import cv2
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import gradio as gr
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse
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from fastrtc import Stream, get_twilio_turn_credentials
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from gradio.utils import get_space
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from huggingface_hub import hf_hub_download
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from pydantic import BaseModel, Field
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try:
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from demo.object_detection.inference import YOLOv10
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except (ImportError, ModuleNotFoundError):
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from inference import YOLOv10
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cur_dir = Path(__file__).parent
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model_file = hf_hub_download(
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repo_id="onnx-community/yolov10n", filename="onnx/model.onnx"
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)
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model = YOLOv10(model_file)
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def detection(image, conf_threshold=0.3):
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image = cv2.resize(image, (model.input_width, model.input_height))
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print("conf_threshold", conf_threshold)
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new_image = model.detect_objects(image, conf_threshold)
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return cv2.resize(new_image, (500, 500))
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stream = Stream(
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handler=detection,
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modality="video",
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mode="send-receive",
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additional_inputs=[gr.Slider(minimum=0, maximum=1, step=0.01, value=0.3)],
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rtc_configuration=get_twilio_turn_credentials() 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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app = FastAPI()
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stream.mount(app)
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@app.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 = open(cur_dir / "index.html").read()
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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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class InputData(BaseModel):
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webrtc_id: str
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conf_threshold: float = Field(ge=0, le=1)
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@app.post("/input_hook")
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async def _(data: InputData):
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stream.set_input(data.webrtc_id, data.conf_threshold)
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if __name__ == "__main__":
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import os
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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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stream.fastphone(host="0.0.0.0", port=7860)
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else:
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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