app.py

import gradio as gr
from gradio_client import Client
import os
import logging
import sqlite3
import requests
from urllib.parse import urlparse, parse_qs

# Initialize the client for image generation
client_image = Client("mukaist/DALLE-4K")

# Retrieve secret token from environment variables
webhook_server = os.getenv('webhook_server')

# 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__)

# Database path
db_path = 'C:/Users/Administrator/Desktop/TGBoot/photo2prompt_db/users.db'

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 update_user_points(user_chat_id, points):
    """Updates the user's points in the database."""
    with sqlite3.connect(db_path) as conn:
        cursor = conn.cursor()
        cursor.execute('''
        INSERT INTO users (user_chat_id, points) VALUES (?, ?)
        ON CONFLICT(user_chat_id) DO UPDATE SET points = points + ?
        ''', (user_chat_id, points, points))
        conn.commit()
    logger.info(f"User with ID {user_chat_id} had their points updated by {points}.")

def notify_webhook(user_chat_id):
    """Notify the webhook server about the points update."""
    webhook_url = f"{webhook_server}/update_points"
    payload = {'user_chat_id': user_chat_id, 'points': 10}  # Adjust payload as necessary
    try:
        response = requests.post(webhook_url, json=payload)
        response.raise_for_status()
        logger.info(f"Webhook notification sent successfully. Response: {response.status_code}")
    except requests.RequestException as e:
        logger.error(f"Error sending webhook notification: {e}")

def get_user_points(user_chat_id):
    """Retrieve user points from the Flask server."""
    webhook_url = f"{webhook_server}/get_points"
    params = {'user_chat_id': user_chat_id}
    try:
        response = requests.get(webhook_url, params=params)
        response.raise_for_status()
        return response.json().get('points', "Error retrieving points")
    except requests.RequestException as e:
        logger.error(f"Error fetching user points: {e}")
        return "Failed to retrieve user points"

def extract_user_chat_id_from_url(url):
    parsed_url = urlparse(url)
    params = parse_qs(parsed_url.query)
    return params.get('user_chat_id', ["Guest"])[0]

def gradio_interface(prompt, resolution_key, user_chat_id):
    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):
            update_user_points(user_chat_id, 10)  # Award 10 points for each image generated
            notify_webhook(user_chat_id)  # Notify the webhook server
            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():
    with gr.Blocks() as interface:
        # Personalized HTML content
        gr.HTML("""
        <script src="https://telegram.org/js/telegram-web-app.js"></script>
        <script>
            document.addEventListener('DOMContentLoaded', function() {
                window.Telegram.WebApp.init();
                const urlParams = new URLSearchParams(window.location.search);
                const userChatId = urlParams.get('user_chat_id') || "Guest";
                window.Telegram.WebApp.setTitle(`Welcome!`);
                document.getElementById('user-chat-id-input').value = userChatId;  // Set hidden textbox with userChatId
            });
        </script>
        <h3>Welcome! 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)
        
        # Button to get user points
        get_points_button = gr.Button("Get Points")
        points_output = gr.Textbox(label="User Points", placeholder="User points will be displayed here", interactive=False)
        
        # Hidden textbox to hold the user_chat_id
        user_chat_id_input = gr.Textbox(visible=False, value="Guest", elem_id="user-chat-id-input")

        # Set up interaction
        generate_button.click(
            fn=lambda prompt, resolution_key, user_chat_id: gradio_interface(prompt, resolution_key, user_chat_id),
            inputs=[prompt_input, resolution_dropdown, user_chat_id_input],
            outputs=[result_output, message_output]
        )

        get_points_button.click(
            fn=lambda user_chat_id: get_user_points(user_chat_id),
            inputs=[user_chat_id_input],
            outputs=points_output
        )
        
        gr.HTML("""
        <style>
            footer.svelte-1rjryqp {
                display: none !important;
            }
        </style>
        """)
    
    return interface

def launch_gradio():
    interface = create_gradio_interface()
    interface.launch()

if __name__ == '__main__':
    # Launch Gradio
    launch_gradio()