import gradio as gr
import requests
from PIL import Image
from io import BytesIO
from tqdm import tqdm
import time

repo = "artificialguybr/TshirtDesignRedmond-V2"

def infer(color_prompt, Phone_type_prompt, design_prompt):
    prompt = (
        f"A single vertical {color_prompt} colored {Phone_type_prompt} back cover featuring a bold {design_prompt} design on the front, hanging on the plain wall. The soft light and shadows, creating a striking contrast against the minimal background, evoking modern sophistication.")
    full_prompt = f"{prompt}"

    print("Generating image with prompt:", full_prompt)
    api_url = f"https://api-inference.huggingface.co/models/{repo}"
    headers = {}
    payload = {
        "inputs": full_prompt,
        "parameters": {
            "negative_prompt": "(worst quality, low quality, lowres, oversaturated, grayscale, bad photo:1.4)",
            "num_inference_steps": 30,
            "scheduler": "DPMSolverMultistepScheduler"
        },
    }

    error_count = 0
    pbar = tqdm(total=None, desc="Loading model")
    while True:
        response = requests.post(api_url, headers=headers, json=payload)
        if response.status_code == 200:
            return Image.open(BytesIO(response.content))
        elif response.status_code == 503:
            time.sleep(1)
            pbar.update(1)
        elif response.status_code == 500 and error_count < 5:
            time.sleep(1)
            error_count += 1
        else:
            raise Exception(f"API Error: {response.status_code}")


custom_css = """
body {
    font-family: 'Poppins', sans-serif;
    margin: 0;
    padding: 0;
    transition: background-color 0.3s, color 0.3s;
}
.light-mode {
    background-color: #f8f9fa;
    color: #333;
}
.dark-mode {
    background-color: #333;
    color: #f8f9fa;
}
.gr-markdown-container {
    transition: color 0.3s;
}
.light-mode .gr-markdown-container {
    color: #333;
}
.dark-mode .gr-markdown-container {
    color: #f8f9fa;
}
textarea, input {
    padding: 10px;
    border-radius: 8px;
    border: 2px solid #ccc;
    margin-bottom: 10px;
    width: 100%;
}
textarea.dark-mode, input.dark-mode {
    background-color: #444;
    color: #f8f9fa;
    border: 2px solid #555;
}
textarea.light-mode, input.light-mode {
    background-color: #fff;
    color: #333;
}
.output-image {
    max-width: 100%;
    border-radius: 12px;
    margin-top: 20px;
}
.avatar-container {
    text-align: center;
    margin-bottom: 20px;
}
.avatar-container img {
    border-radius: 50%;
    width: 150px;
    height: 150px;
    box-shadow: 0px 4px 10px rgba(0, 0, 0, 0.3);
    animation: bounce 2s infinite;
}
@keyframes bounce {
    0%, 100% {
        transform: translateY(0);
    }
    50% {
        transform: translateY(-10px);
    }
}
"""

custom_js = """
<script>
document.addEventListener('DOMContentLoaded', function () {
    const toggleButton = document.createElement('button');
    toggleButton.textContent = 'Toggle Light/Dark Mode';
    toggleButton.style.marginBottom = '20px';
    toggleButton.onclick = () => {
        document.body.classList.toggle('dark-mode');
        document.body.classList.toggle('light-mode');
    };
    document.body.prepend(toggleButton);
    document.body.classList.add('light-mode'); // Default to light mode

    // Dynamic Welcome Message with AI avatar speech
    const welcomeMessage = document.createElement('div');
    welcomeMessage.classList.add('avatar-container');
    const avatarImg = document.createElement('img');
    avatarImg.src = 'https://i.ibb.co/9ZQhHvR/ai-avatar.png'; // Use a valid AI avatar image URL
    avatarImg.alt = "AI Assistant Avatar";
    avatarImg.style.width = "150px";
    avatarImg.style.height = "150px";
    avatarImg.style.borderRadius = "50%";
    avatarImg.style.margin = "20px auto";
    avatarImg.style.display = "block";
    welcomeMessage.appendChild(avatarImg);

    const messageText = document.createElement('h2');
    const currentHour = new Date().getHours();
    let greeting = "Welcome!";
    if (currentHour < 12) greeting = "Good Morning!";
    else if (currentHour < 18) greeting = "Good Afternoon!";
    else greeting = "Good Evening!";
    messageText.textContent = greeting + " I'm your AI assistant. Let's design something amazing!";
    messageText.style.textAlign = "center";
    messageText.style.fontSize = "1.5rem";
    welcomeMessage.appendChild(messageText);

    document.body.prepend(welcomeMessage);

    // Speech synthesis
    const speech = new SpeechSynthesisUtterance();
    speech.text = messageText.textContent;
    speech.pitch = 1;
    speech.rate = 1;
    speech.lang = 'en-US';
    window.speechSynthesis.speak(speech);
});
</script>
"""

with gr.Blocks(css=custom_css) as interface:
    gr.HTML(custom_js)
    gr.Markdown(
        """
        # **AI Phone Cover Designer**
        Create custom designs for your brand with AI. Specify color, style, and design details.
        """,
        elem_id="gr-markdown-container"  
    )
    with gr.Row(elem_id="responsive-row"):
        with gr.Column(scale=1, min_width=300):
            color_prompt = gr.Textbox(label="Color", placeholder="E.g., Red", elem_id="component-1")
            Back_cover_prompt = gr.Textbox(label="Mobile type", placeholder="E.g., iPhone, Samsung", elem_id="component-2")
            design_prompt = gr.Textbox(label="Design Details", placeholder="E.g., Bold stripes with geometric patterns", elem_id="component-3")
            generate_button = gr.Button("Generate Design")
        with gr.Column(scale=1, min_width=300):
            output = gr.Image(label="Generated Design", elem_id="output-image")

    generate_button.click(infer, inputs=[color_prompt, Back_cover_prompt, design_prompt], outputs=output)

# Launch the app
interface.launch(debug=True)