import gradio as gr
import requests
import qrcode
import io
from PIL import Image, ImageDraw

import os

# Get the Hugging Face API token from the environment variable
hf_token = os.environ.get("hf_token")

# Function to generate a QR code with transparency
def generate_qr_image(url):
    qr = qrcode.QRCode(
        version=1,
        error_correction=qrcode.constants.ERROR_CORRECT_L,
        box_size=10,
        border=4,
    )
    qr.add_data(url)
    qr.make(fit=True)

    qr_img = qr.make_image(fill_color="black", back_color="white")
    qr_img_rgba = qr_img.convert("RGBA")

    # Add transparency to the QR code
    qr_data = qr_img_rgba.getdata()
    new_qr_data = []
    for item in qr_data:
        if item[0] == 0 and item[1] == 0 and item[2] == 0:
            new_qr_data.append((0, 0, 0, 0))
        else:
            new_qr_data.append(item)
    
    qr_img_rgba.putdata(new_qr_data)
    
    return qr_img_rgba

# Function to query the image from the Hugging Face API
def query_image(text):
    API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/realistic-vision-v51"
    headers = {"Authorization": f"Bearer {hf_token}"}

    response = requests.post(API_URL, headers=headers, json={"inputs": text})
    return response.content

# Gradio app function
def generate_image(url, text):
    # Generate image from Hugging Face API
    image_bytes = query_image(text)
    api_image = Image.open(io.BytesIO(image_bytes))
    
    # Generate QR code image with transparency
    qr_image = generate_qr_image(url)
    
    # Resize the QR code to fit into the generated image
    qr_width, qr_height = qr_image.size
    api_image_width, api_image_height = api_image.size
    qr_image = qr_image.resize((int(qr_width * 0.5), int(qr_height * 0.5)))
    
    # Blend the two images together
    final_image = api_image.copy()
    final_image.paste(qr_image, (api_image_width - qr_image.width, api_image_height - qr_image.height), qr_image)
    
    return final_image

# Inputs and outputs for Gradio interface
inputs = [
    gr.Textbox(lines=1, label="URL"),
    gr.Textbox(lines=2, label="Prompt for Image"),
]
output = gr.Image(type="pil", label="Generated Image")

# Gradio app interface
gr.Interface(fn=generate_image, inputs=inputs, outputs=output, title="QR Code Image Generator", description="Generate an image with a QR code linked to the input URL and an image from the Hugging Face API", theme="soft").launch()