app.py

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

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 transparent fill color
def generate_qr_image(url, image_size):
    # Determine box size based on the larger dimension of the image
    max_dim = max(image_size[0], image_size[1])
    box_size = max_dim // 25
    border = 1
    
    qr = qrcode.QRCode(
        version=1,
        error_correction=qrcode.constants.ERROR_CORRECT_L,
        box_size=box_size,
        border=border,
    )
    qr.add_data(url)
    qr.make(fit=True)

    qr_img = qr.make_image(fill_color="black", back_color=None).convert("RGBA")
    qr_img = qr_img.resize(image_size)

    return qr_img


# Function to query the image from the Hugging Face API
def query_image(text):
    API_URL = "https://api-inference.huggingface.co/models/goofyai/3d_render_style_xl"
    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
    qr_image = generate_qr_image(url, api_image.size)

    # Create a blank image with transparency
    final_image = Image.new('RGBA', api_image.size, (255, 255, 255, 0))

    # Position the QR code in the image
    qr_position = ((final_image.width - qr_image.width) // 2, (final_image.height - qr_image.height) // 2)
    final_image.paste(qr_image, qr_position, qr_image)

    # Composite the API image and the final image with the QR code
    final_image = Image.alpha_composite(api_image.convert("RGBA"), final_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()