Create app.py

app.py

@@ -0,0 +1,45 @@
+import cv2
+import gradio as gr
+import os
+import functools
+from PIL import Image
+from rembg import remove 
+from io import BytesIO
+import numpy as np
+import torch
+from torch.autograd import Variable
+from torchvision import transforms
+import torch.nn.functional as F
+import gdown
+import matplotlib.pyplot as plt
+import warnings
+warnings.filterwarnings("ignore")
+import requests
+
+@functools.lru_cache()
+def get_url_im(t):
+    user_agent = {'User-agent': 'gradio-app'}
+    response = requests.get(t, headers=user_agent)
+    return (BytesIO(response.content))
+
+
+def inference(image):
+  im_path = get_url_im(image)
+  im = Image.open(im_reader(im_path))
+  
+
+  return im, im , im
+
+
+
+
+interface = gr.Interface(
+    fn=inference,
+    inputs=gr.Textbox(label="Text or Image URL", interactive=True),
+    outputs=["image","image","image"],
+    title=title,
+    description=description,
+    article=article,
+    allow_flagging='never',
+    cache_examples=False,
+    ).queue().launch(show_error=True, share = True)