app.py

import gradio as gr
from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
import supervision as sv
from inference import DepthPredictor, SegmentPredictor



def snap(image, video):
    depth_predictor = DepthPredictor()
    #segment_predictor = SegmentPredictor()
    #sam_result = segment_predictor.predict(image)
    depth_result = depth_predictor.predict(image)

    return [depth_result, video]


demo = gr.Interface(
    snap,
    [gr.Image(source="webcam", tool=None), gr.Video(source="webcam")],
    ["image", "video"],
)

if __name__ == "__main__":
    demo.launch()