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| from flask import Flask, request, redirect | |
| import gradio as gr | |
| from gradio_client import Client | |
| import os | |
| import logging | |
| app = Flask(__name__) | |
| # Initialize the client for image generation | |
| client_image = Client("mukaist/DALLE-4K") | |
| # Define resolutions | |
| resolutions = { | |
| "896x1152": (896, 1152), | |
| "1024x1024": (1024, 1024), | |
| "1216x832": (1216, 832) | |
| } | |
| # Define the default style | |
| DEFAULT_STYLE = "3840 x 2160" | |
| # Set up logging | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger(__name__) | |
| def generate_image(prompt, resolution_key, style=DEFAULT_STYLE): | |
| resolution = resolutions.get(resolution_key, (1024, 1024)) | |
| width, height = resolution | |
| full_prompt = f"{prompt}, Canon EOS R5, 4K, Photo-Realistic, appearing photorealistic with super fine details, high resolution, natural look, hyper realistic photography, cinematic lighting, --ar 64:37, --v 6.0, --style raw, --stylize 750" | |
| try: | |
| result = client_image.predict( | |
| prompt=full_prompt, | |
| negative_prompt="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation", | |
| use_negative_prompt=True, | |
| style=style, | |
| seed=0, | |
| width=width, | |
| height=height, | |
| guidance_scale=5, | |
| randomize_seed=True, | |
| api_name="/run" | |
| ) | |
| logger.info("Image generation successful.") | |
| return result | |
| except Exception as e: | |
| logger.error(f"Error generating image: {e}") | |
| return None | |
| def gradio_interface(prompt, resolution_key): | |
| result = generate_image(prompt, resolution_key) | |
| if result and result[0]: | |
| file_path = result[0][0].get('image') | |
| if file_path and os.path.exists(file_path): | |
| return file_path, "The image was generated successfully." | |
| else: | |
| return None, "The image file is not available. Please try again later." | |
| else: | |
| return None, "There was an error processing your photo. Please try again later." | |
| def create_gradio_interface(username): | |
| with gr.Blocks() as interface: | |
| # Personalized HTML content | |
| gr.HTML(f""" | |
| <script src="https://telegram.org/js/telegram-web-app.js"></script> | |
| <script> | |
| document.addEventListener('DOMContentLoaded', function() {{ | |
| window.Telegram.WebApp.init(); | |
| window.Telegram.WebApp.setTitle("Welcome, {username}!"); | |
| }}); | |
| </script> | |
| <h3>Welcome, {username}! Generate images based on prompts.</h3> | |
| """) | |
| # Create input components | |
| prompt_input = gr.Textbox(label="Prompt", placeholder="Enter your prompt here...") | |
| resolution_dropdown = gr.Dropdown(choices=list(resolutions.keys()), label="Resolution", value="1024x1024") | |
| generate_button = gr.Button("Generate") | |
| # Create output components | |
| result_output = gr.Image(label="Generated Image", type="pil") | |
| message_output = gr.Textbox(label="Result", placeholder="Results will be shown here", interactive=False) | |
| # Set up interaction | |
| generate_button.click( | |
| fn=lambda prompt, resolution_key: gradio_interface(prompt, resolution_key), | |
| inputs=[prompt_input, resolution_dropdown], | |
| outputs=[result_output, message_output] | |
| ) | |
| gr.HTML(""" | |
| <style> | |
| footer.svelte-1rjryqp { | |
| display: none !important; | |
| } | |
| </style> | |
| """) | |
| return interface | |
| def serve_gradio(): | |
| username = request.args.get('username', 'Guest') | |
| logger.info(f"Extracted username: {username}") | |
| interface = create_gradio_interface(username) | |
| return interface.launch(inline=True) | |
| if __name__ == '__main__': | |
| app.run(debug=True) |