Delete app.py

app.py

@@ -1,59 +0,0 @@
-import gradio as gr  
-import json
-from pathlib import Path
-from fastapi import FastAPI
-from fastapi.responses import HTMLResponse
-from fastrtc import Stream
-from huggingface_hub import hf_hub_download
-from pydantic import BaseModel, Field
-import os
-import cv2
-
-from inference import YOLOv10
-
-cur_dir = Path(__file__).parent
-
-model_file = hf_hub_download(
-    repo_id="onnx-community/yolov10n", filename="onnx/model.onnx"
-)
-
-model = YOLOv10(model_file)
-
-def detection(image, conf_threshold=0.3):
-    image = cv2.resize(image, (model.input_width, model.input_height))
-    new_image = model.detect_objects(image, conf_threshold)
-    return cv2.resize(new_image, (500, 500))
-
-stream = Stream(
-    handler=detection,
-    modality="video",
-    mode="send-receive",
-    additional_inputs=[gr.Slider(minimum=0, maximum=1, step=0.01, value=0.3)],
-    rtc_configuration=None,
-    concurrency_limit=None,
-)
-
-app = FastAPI()
-stream.mount(app)
-
-@app.get("/")
-async def serve_index():
-    html_content = open(cur_dir / "index.html").read()
-    return HTMLResponse(content=html_content)
-
-class InputData(BaseModel):
-    webrtc_id: str
-    conf_threshold: float = Field(ge=0, le=1)
-
-@app.post("/input_hook")
-async def update_input(data: InputData):
-    stream.set_input(data.webrtc_id, data.conf_threshold)
-
-if __name__ == "__main__":
-    if (mode := os.getenv("MODE")) == "UI":
-        stream.ui.launch(server_port=7860)
-    elif mode == "PHONE":
-        stream.fastphone(host="0.0.0.0", port=7860)
-    else:
-        import uvicorn
-        uvicorn.run(app, host="0.0.0.0", port=7860)