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import gradio as gr |
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import requests |
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from PIL import Image |
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from io import BytesIO |
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from tqdm import tqdm |
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import time |
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repo = "artificialguybr/TshirtDesignRedmond-V2" |
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def infer(color_prompt, Phone_type_prompt, design_prompt): |
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prompt = ( |
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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.") |
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full_prompt = f"{prompt}" |
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print("Generating image with prompt:", full_prompt) |
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api_url = f"https://api-inference.huggingface.co/models/{repo}" |
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headers = {} |
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payload = { |
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"inputs": full_prompt, |
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"parameters": { |
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"negative_prompt": "(worst quality, low quality, lowres, oversaturated, grayscale, bad photo:1.4)", |
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"num_inference_steps": 30, |
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"scheduler": "DPMSolverMultistepScheduler" |
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}, |
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} |
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error_count = 0 |
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pbar = tqdm(total=None, desc="Loading model") |
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while True: |
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response = requests.post(api_url, headers=headers, json=payload) |
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if response.status_code == 200: |
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return Image.open(BytesIO(response.content)) |
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elif response.status_code == 503: |
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time.sleep(1) |
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pbar.update(1) |
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elif response.status_code == 500 and error_count < 5: |
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time.sleep(1) |
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error_count += 1 |
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else: |
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raise Exception(f"API Error: {response.status_code}") |
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custom_css = """ |
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body { |
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font-family: 'Poppins', sans-serif; |
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margin: 0; |
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padding: 0; |
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transition: background-color 0.3s, color 0.3s; |
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} |
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.light-mode { |
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background-color: #f8f9fa; |
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color: #333; |
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} |
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.dark-mode { |
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background-color: #333; |
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color: #f8f9fa; |
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} |
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.gr-markdown-container { |
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transition: color 0.3s; |
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} |
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.light-mode .gr-markdown-container { |
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color: #333; |
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} |
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.dark-mode .gr-markdown-container { |
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color: #f8f9fa; |
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} |
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textarea, input { |
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padding: 10px; |
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border-radius: 8px; |
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border: 2px solid #ccc; |
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margin-bottom: 10px; |
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width: 100%; |
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} |
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textarea.dark-mode, input.dark-mode { |
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background-color: #444; |
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color: #f8f9fa; |
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border: 2px solid #555; |
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} |
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textarea.light-mode, input.light-mode { |
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background-color: #fff; |
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color: #333; |
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} |
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.output-image { |
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max-width: 100%; |
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border-radius: 12px; |
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margin-top: 20px; |
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} |
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/* Neon Button Styling */ |
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button { |
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font-size: 1.2rem; |
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padding: 10px 20px; |
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border-radius: 5px; |
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cursor: pointer; |
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border: none; |
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color: white; |
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background: linear-gradient(90deg, red, orange, yellow, green, cyan, blue, violet); |
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background-size: 400%; |
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box-shadow: 0 0 10px rgba(255, 255, 255, 0.6), |
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0 0 20px rgba(255, 255, 255, 0.4), |
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0 0 40px rgba(255, 255, 255, 0.2); |
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animation: neon-button 2s infinite; |
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transition: transform 0.3s; |
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} |
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button:hover { |
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transform: scale(1.1); |
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box-shadow: 0 0 20px rgba(255, 255, 255, 0.8), |
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0 0 40px rgba(255, 255, 255, 0.6), |
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0 0 60px rgba(255, 255, 255, 0.4); |
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} |
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/* Neon Animation */ |
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@keyframes neon-button { |
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0% { background-position: 0%; } |
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100% { background-position: 400%; } |
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} |
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/* Loading Spinner */ |
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#loading-spinner { |
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display: none; |
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margin: 20px auto; |
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border: 6px solid #f3f3f3; |
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border-top: 6px solid #3498db; |
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border-radius: 50%; |
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width: 50px; |
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height: 50px; |
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animation: spin 1s linear infinite; |
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} |
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@keyframes spin { |
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0% { transform: rotate(0deg); } |
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100% { transform: rotate(360deg); } |
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} |
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@media screen and (max-width: 768px) { |
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.gradio-container { |
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padding: 10px; |
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} |
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textarea, input { |
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font-size: 0.9rem; |
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} |
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button { |
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font-size: 0.9rem; |
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} |
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} |
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@media screen and (min-width: 769px) { |
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.gradio-container { |
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padding: 20px; |
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max-width: 1200px; |
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margin: auto; |
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} |
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} |
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""" |
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custom_js = """ |
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<script> |
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document.addEventListener('DOMContentLoaded', function () { |
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const toggleButton = document.createElement('button'); |
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toggleButton.textContent = 'Toggle Light/Dark Mode'; |
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toggleButton.style.marginBottom = '20px'; |
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toggleButton.onclick = () => { |
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document.body.classList.toggle('dark-mode'); |
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document.body.classList.toggle('light-mode'); |
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}; |
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document.body.prepend(toggleButton); |
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document.body.classList.add('light-mode'); // Default to light mode |
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// Dynamic Welcome Message |
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const welcomeMessage = document.createElement('h2'); |
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const currentHour = new Date().getHours(); |
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let greeting = "Welcome!"; |
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if (currentHour < 12) greeting = "Good Morning!"; |
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else if (currentHour < 18) greeting = "Good Afternoon!"; |
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else greeting = "Good Evening!"; |
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welcomeMessage.textContent = greeting + " Customize your phone cover!"; |
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welcomeMessage.style.textAlign = "center"; |
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document.body.prepend(welcomeMessage); |
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// Add spinner toggle on button click |
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const generateButton = document.querySelector('button:contains("Generate Design")'); |
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const spinner = document.getElementById('loading-spinner'); |
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generateButton.onclick = () => { |
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spinner.style.display = 'block'; |
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setTimeout(() => spinner.style.display = 'none', 5000); // Mock loading |
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}; |
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}); |
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</script> |
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""" |
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with gr.Blocks(css=custom_css) as interface: |
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gr.HTML(custom_js) |
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gr.Markdown( |
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""" |
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# **AI Phone Cover Designer** |
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Create custom designs for your brand with AI. Specify color, style, and design details. |
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""", |
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elem_id="gr-markdown-container" |
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) |
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with gr.Row(elem_id="responsive-row"): |
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with gr.Column(scale=1, min_width=300): |
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color_prompt = gr.Textbox(label="Color", placeholder="E.g., Red", elem_id="component-1") |
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Back_cover_prompt = gr.Textbox(label="Mobile type", placeholder="E.g., iPhone, Samsung", elem_id="component-2") |
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design_prompt = gr.Textbox(label="Design Details", placeholder="E.g., Bold stripes with geometric patterns", elem_id="component-3") |
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generate_button = gr.Button("Generate Design") |
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spinner = gr.HTML('<div id="loading-spinner"></div>') |
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with gr.Column(scale=1, min_width=300): |
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output = gr.Image(label="Generated Design", elem_id="output-image") |
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generate_button.click(infer, inputs=[color_prompt, Back_cover_prompt, design_prompt], outputs=output) |
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interface.launch(debug=True) |
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