app.py

try:
    import detectron2
except:
    import os 
    os.system('pip install git+https://github.com/facebookresearch/detectron2.git')

from git import Repo
from PIL import Image
import os
import logging
import io
import cv2
from io import BytesIO
import gradio as gr
import numpy as np 

PAT_TOKEN = os.environ.get("PAT_TOKEN")
GIT_REPO = os.environ.get("GIT_REPO")



if os.path.exists('./segmentspace'):
    pass
else:
    Repo.clone_from(f"https://{PAT_TOKEN}:@github.com/{GIT_REPO}", 
        "./segmentspace")

from segmentspace import Remover

MAX_FILE_SIZE = 5 * 1024 * 1024
remover = Remover()
    
def inference(image):
    image_path = image
    image = Image.open(image_path).convert('RGB')
  
    output_image, output_mask = remover.process(image)
  
    pil_mask = Image.fromarray(output_mask).convert('L')
    im_rgb =  Image.fromarray(output_image).convert("RGB")
  
    im_rgba = im_rgb.copy()
    im_rgba.putalpha(pil_mask)

    return im_rgba


title = "Segment 'n Go"
description = "To use it, simply upload your image, or click one of the examples to load them."

interface = gr.Interface(
    fn=inference,
    inputs=[gr.Image(type='filepath')],
    outputs=[gr.Image(type='pil')],
    examples=[['zebra.jpg'], ['zebra.jpg']],
    title=title,
    description=description,
    allow_flagging='never',
    cache_examples=False,
    ).queue().launch(show_error=True)