app.py

import gradio as gr
import cv2
import numpy as np
from PIL import Image

# Function to upscale the image
def upscale_image(input_image, upscale_factor):
    # Convert the uploaded image to an OpenCV format
    input_image = np.array(input_image)
    
    # Perform upscaling using OpenCV's resize function
    output_image = cv2.resize(input_image, None, fx=upscale_factor, fy=upscale_factor, interpolation=cv2.INTER_CUBIC)
    
    return Image.fromarray(output_image)

# Function to handle the Gradio interface
def process_image(image, upscale_factor):
    # Convert the uploaded image and upscale it
    upscaled_image = upscale_image(image, upscale_factor)
    
    # Return the upscaled image
    return upscaled_image

# Gradio interface definition
demo = gr.Interface(
    fn=process_image, 
    inputs=[gr.Image(type="pil",sources=["upload","webcam"]), gr.Slider(2, 10, step=2, label="Upscale Factor")], 
    outputs=gr.Image(type="pil",show_share_button=False,show_fullscreen_button=False),
    title="Image Upscaler",
    description="Upload an image and select an upscale factor to upscale your image.", 
    css="footer {visibility: hidden}"
) 
# Launch the Gradio app
demo.launch()