app.py

import gradio as gr

from inference import inference

input_video = gr.Video(mirror_webcam=False)

dd_model = gr.Dropdown(choices=["YoloV7"], value="YoloV7", label="Model")

cb_motion_estimation = gr.Checkbox(value=True, label="Motion estimation")

cb_path_draw = gr.Checkbox(value=True, label="Drawing paths")

dd_track_points = gr.Dropdown(
    choices=["Boxes", "Centroid"], value="Boxes", label="Detections style"
)

slide_threshold = gr.Slider(minimum=0, maximum=1, value=0.25, label="Model confidence threshold")

inputs = [
    input_video,
    dd_model,
    cb_motion_estimation,
    cb_path_draw,
    dd_track_points,
    slide_threshold,
]
outputs = "playablevideo"

iface = gr.Interface(fn=inference, inputs=inputs, outputs=outputs)

iface.launch()