import os
import gradio as gr
from gradio_imageslider import ImageSlider
from loadimg import load_img

import requests
import base64
from PIL import Image
from io import BytesIO
import numpy as np

output_folder = 'output_images'
if not os.path.exists(output_folder):
    os.makedirs(output_folder)


def fn(image):
    im = load_img(image, output_type="pil")
    im = im.convert("RGB")
    origin = im.copy()
    image = process(im)
    image_path = os.path.join(output_folder, "no_bg_image.png")
    image.save(image_path)
    return (image, origin), image_path


def process(image):
    def numpy_to_pil(image):
        """Convert a numpy array to a PIL Image."""
        if image.dtype == np.uint8:  # Most common case
            mode = "RGB"
        else:
            mode = "F"  # Floating point
        return Image.fromarray(image.astype('uint8'), mode)

    image = numpy_to_pil(image)  # Convert numpy array to PIL Image
    buffered = BytesIO()
    image.save(buffered, format="PNG")
    img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
    response = requests.post(
        os.getenv('BACKEND_URL'),
        files={"file": ("image.png", base64.b64decode(img_str), "image/png")}
    )
    result = response.json()
    processed_image_b64 = result["processed_image"]
    processed_image = Image.open(BytesIO(base64.b64decode(processed_image_b64)))
    return processed_image  # Return the original and processed images


def process_file(f):
    name_path = f.rsplit(".", 1)[0] + ".png"
    im = load_img(f, output_type="pil")
    im = im.convert("RGB")
    transparent = process(im)
    transparent.save(name_path)
    return name_path


slider1 = ImageSlider(label="RMBG-2.0", type="pil")
slider2 = ImageSlider(label="RMBG-2.0", type="pil")
image = gr.Image(label="Upload an image")
image2 = gr.Image(label="Upload an image", type="filepath")
text = gr.Textbox(label="Paste an image URL")
png_file = gr.File(label="output png file")

chameleon = load_img("elephant.jpg", output_type="pil")

url = "http://farm9.staticflickr.com/8488/8228323072_76eeddfea3_z.jpg"

tab1 = gr.Interface(
    fn, inputs=image, outputs=[slider1, gr.File(label="output png file")], examples=[chameleon], api_name="image"
)

tab2 = gr.Interface(fn, inputs=text, outputs=[slider2, gr.File(label="output png file")], examples=[url],
                    api_name="text")
tab3 = gr.Interface(process_file, inputs=image2, outputs=png_file, examples=["elephant.jpg"], api_name="png")

demo = gr.TabbedInterface(
    [tab1, tab2], ["input image", "input url"], title=" background removal"
)

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