import os
os.system("pip3 install cython_bbox gdown 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'")
from torchyolo import YoloHub
import gradio as gr
from utils import attempt_download_from_hub



def object_tracker(
    source: str,
    model_type: str,
    model_path: str,
    tracker_type: str,
    tracker_config_path: str,
    StrongSort_OsNet_Path: str = None,
):
    model = YoloHub(
        config_path="default_config.yaml",
        model_type=model_type,
        model_path=model_path,
    )

    if tracker_type == "STRONGSORT":
        StrongSort_OsNet_Path = attempt_download_from_hub(StrongSort_OsNet_Path)

    model.predict(
        source=source,
        tracker_type=tracker_type,
        tracker_weight_path=StrongSort_OsNet_Path,
        tracker_config_path=tracker_config_path,
    )

    return 'output.mp4'
       

inputs = [
    gr.Video(),
    gr.inputs.Dropdown(
        label="Model Type",
        choices=["yolov5"],
        default="yolov5",
    ),
    gr.inputs.Dropdown(
        label="Model Path",
        choices=[
            "aijack/v5s"        ],
        default="aijack/v5s",
    ),
    gr.inputs.Dropdown(
        label="Tracker Type",
        choices=["OCSORT"],
        default="OCSORT",
    ),
    gr.inputs.Dropdown(
        label="Tracker Config Path",
        choices=[
            "tracker/oc_sort.yaml",
        ],
        default="tracker/oc_sort.yaml",
    ),
    gr.inputs.Dropdown(
        label="Tracker Weight Path",
        choices=[
            "aijack/osnet"
        ],
        default="aijack/osnet",
    ),
]
examples = [
    [
        "01.mp4",
        "yolov5",
        "aijack/v5s",
        "OCSORT",
        "tracker/oc_sort.yaml",
    ]
]
outputs = gr.Video()
title = "YOLOV5 Object Detection and Track Algorithm Library"
article = "<p style='text-align: center'><a href='http://claireye.com.tw'>Claireye</a> | 2023</p>"
demo_app = gr.Interface(
    fn=object_tracker,
    inputs=inputs,
    examples=examples,
    outputs=outputs,
    title=title,
	article = article,
    cache_examples=False
)
demo_app.launch(debug=True, enable_queue=True)