app.py

import gradio as gr
import random

model = gr.load("models/Purz/face-projection")

def generate_image(text, seed):
    if seed is not None:
        random.seed(seed)
    return model(text)

examples = [
    ["Humanoid Cat Warrior, Full View", None],
    ["Warhammer Sisterhood", None],
    ["Future Robots war", None],
    ["Fantasy dragon", None]
]

# Custom CSS for minimalist style, horizontal example layout, and styled prompt box
custom_css = """

/* Prompt textbox styling */
input[type="text"] {
    border: 2px solid #ddd; /* Default border */
    border-radius: 8px;
    padding: 12px;
    font-size: 16px;
    width: 100%;
    background-color: #f94925; /* Light gray background */
}

/* Examples arranged in a single line, without buttons */
.gr-examples {
    display: flex;
    flex-direction: row;
    justify-content: space-evenly;
    gap: 10px;
    margin-top: 10px;
}

.gr-examples span {
    font-size: 14px;
    color: #333;
    cursor: pointer;
    padding: 5px;
    background-color: white; /* Simple white background */
    border: 1px solid #ddd; /* Light gray border */
    border-radius: 5px; /* Rounded corners */
    transition: all 0.2s ease;
}

/* Hover effect on examples */
.gr-examples span:hover {
    background-color: #000000; /* Light gray on hover */
    color: #007bff; /* Change text color on hover */
    text-decoration: underline; /* Underline text on hover */
}

/* Styling for the generate button */
button {
    border-radius: 50px;
    background: linear-gradient(90deg, #ff8a00, #e52e71);
    color: white;
    font-weight: bold;
    padding: 10px 20px;
    border: none;
    cursor: pointer;
    font-size: 16px;
    margin-top: 10px;
}

button:hover {
    background: #fafafa;
}
"""

# Gradio Interface with updated UI elements and custom CSS
interface = gr.Interface(
    fn=generate_image,
    inputs=[
        gr.Textbox(label="Imagine Your Dream:", placeholder="Describe the scene...", interactive=True),
        gr.Slider(minimum=0, maximum=10000, step=1, label="Seed (optional)")
    ],
    outputs=gr.Image(label="Generated Image", type="pil"),
    examples=examples,
    css=custom_css,  # Apply custom CSS
    description="Enter a creative prompt or choose an example to generate your AI-powered image.",
)

interface.launch()