app.py

import gradio as gr
import requests
import io
from PIL import Image
from transformers import pipeline
from torchvision import transforms

title = "Fine Tuned SD Model - Authoral stylization"
description = "Automatically remove the image background from a profile photo."
article = "<p style='text-align: center'><a href='https://news.machinelearning.sg/posts/beautiful_profile_pics_remove_background_image_with_deeplabv3/'>Blog</a> | <a href='https://github.com/eugenesiow/practical-ml'>Github Repo</a></p>"


gr.Interface.load(
  "spaces/eugenesiow/remove-bg", 
  
    inputs=[gr.Image(label="Input Image", source="webcam")]
).launch()

def greet(name):
    return "Hello " + name + "!!"

with gr.Blocks(theme=gr.themes.Glass()) as demo:
    name = gr.Textbox(label="Name")
    output = gr.Textbox(label="Output Box")
    greet_btn = gr.Button("Greet")
    greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet")

demo = gr.Interface(
    fn=greet,
    inputs=gr.Textbox(lines=2, placeholder="Name Here..."),
    outputs="text",
)

demo.launch()