Delete app.py

app.py

@@ -1,45 +0,0 @@
-from huggingface_hub import hf_hub_download
-from inference import YOLOv10
-
-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 new_image
-
-import gradio as gr
-from gradio_webrtc import WebRTC
-
-css = """.my-group {max-width: 600px !important; max-height: 600px !important;}
-         .my-column {display: flex !important; justify-content: center !important; align-items: center !important;}"""
-
-with gr.Blocks(css=css) as demo:
-    gr.HTML(
-        """
-        <h1 style='text-align: center'>
-        YOLOv10 Webcam Stream (Powered by WebRTC ⚡️)
-        </h1>
-        """
-    )
-    with gr.Column(elem_classes=["my-column"]):
-        with gr.Group(elem_classes=["my-group"]):
-            image = WebRTC(label="Stream", rtc_configuration=rtc_configuration)
-            conf_threshold = gr.Slider(
-                label="Confidence Threshold",
-                minimum=0.0,
-                maximum=1.0,
-                step=0.05,
-                value=0.30,
-            )
-
-        image.stream(
-            fn=detection, inputs=[image, conf_threshold], outputs=[image], time_limit=10
-        )
-
-if __name__ == "__main__":
-    demo.launch()