app.py

import gradio as gr
from gradio_client import Client
import os
import logging
import requests
from huggingface_hub import login, whoami
import torch

webhook_server = os.getenv('webhook_server')
API_TOKEN = os.getenv('ZeroGPU')

#BASE_URL = os.getenv('SpaceURL')
# Get user information
#ser_info = whoami(token=API_TOKEN)

# Set your token
login(token=API_TOKEN, add_to_git_credential=True)

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

# Get user information to confirm authentication
user_info = whoami(token=API_TOKEN)
print("User Info:", user_info)
print(f"Is CUDA available: {torch.cuda.is_available()}")

# Define resolutions and default style
resolutions = {
    "896x1152": (896, 1152),
    "1024x1024": (1024, 1024),
    "1216x832": (1216, 832)
}
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 Non

def request_otp(user_chat_id):
    try:
        response = requests.post(f"{webhook_server}/request_otp", json={"user_chat_id": user_chat_id})
        response.raise_for_status()
        
        logger.debug(f"Response status code: {response.status_code}")
        logger.debug(f"Response content: {response.text}")
        
        response_data = response.json()
        
        if 'error' in response_data:
            logger.error(f"Error response from /request_otp: {response_data['error']}")
            return {"success": False, "error": response_data.get("error", "Unknown error")}
        
        return {"success": response_data.get("success", False)}
    
    except requests.RequestException as e:
        logger.error(f"Request exception: {e}")
        return {"success": False, "error": "Request exception occurred"}
    
    except ValueError as e:
        logger.error(f"JSON decode error: {e}")
        return {"success": False, "error": "Invalid JSON response"}

def verify_otp(user_chat_id, otp):
    try:
        response = requests.post(f"{webhook_server}/verify_otp", json={"user_chat_id": user_chat_id, "otp": otp})
        response.raise_for_status()
        return response.json().get("valid", False)
    except requests.RequestException as e:
        logger.error(f"Request exception: {e}")
        return False
    except ValueError as e:
        logger.error(f"JSON decode error: {e}")
        return False

def retrieve_user_points(user_chat_id, otp):
    if not verify_otp(user_chat_id, otp):
        return None, "Invalid or expired OTP. Please request a new OTP."

    response = requests.get(f"{webhook_server}/get_points", params={"user_chat_id": user_chat_id})
    if response.status_code == 200:
        data = response.json()
        points = data.get("points", 0)
        return points, "OTA verification and points retrieved successfully. Now, enter pormpt and generate image"
    return None, "Error retrieving points. Please try again later."

def update_user_points(user_chat_id, points):
    webhook_url = f"{webhook_server}/update_user_points"
    payload = {'user_chat_id': user_chat_id, 'points': points}
    try:
        response = requests.post(webhook_url, json=payload)
        response.raise_for_status()
        logger.info(f"User with ID {user_chat_id} had their points updated by {points}. Webhook response: {response.status_code}")
    except requests.RequestException as e:
        logger.error(f"Error updating user points via webhook: {e}")

def get_user_points(user_chat_id):
    try:
        response = requests.get(f"{webhook_server}/get_points", params={'user_chat_id': user_chat_id})
        response.raise_for_status()
        data = response.json()
        if 'error' in data:
            return "User not found"
        return data.get('points', 0)
    except requests.RequestException as e:
        logger.error(f"Error retrieving user points: {e}")
        return "Error retrieving points"

def notify_webhook(user_chat_id):
    webhook_url = f"{webhook_server}/notify_update"
    payload = {'user_chat_id': user_chat_id}
    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 notify_webhook_with_file(user_chat_id, full_file_url):
    webhook_url = f"{webhook_server}/notify_image"
    payload = {'user_chat_id': user_chat_id, 'file_path': full_file_url}
    try:
        response = requests.post(webhook_url, json=payload)
        response.raise_for_status()
        logger.info(f"Webhook notification sent successfully for user {user_chat_id}. Response: {response.status_code}")
    except requests.RequestException as e:
        logger.error(f"Error sending webhook notification with file URL: {e}")
'''        
def gradio_interface(prompt, resolution_key, user_chat_id):
    if not user_chat_id.strip():
        return None, "User Chat ID cannot be blank. Please provide a valid 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, -5)
            notify_webhook_with_file(user_chat_id, file_path)  # Notify webhook with file path
            return file_path, "The image was generated successfully."
        return None, "The image file is not available. Please try again later."
    return None, "There was an error processing your photo. Please try again later."
'''

def gradio_interface(prompt, resolution_key, user_chat_id):
    if not user_chat_id.strip():
        return None, "User Chat ID cannot be blank. Please provide a valid User Chat ID or register with @supportBot to get UID."

    result = generate_image(prompt, resolution_key)
    if result and result[0]:
        file_path = result[0][0].get('image')
        if file_path:
            # Combine base URL with file path to create full URL
            base_url = "https://measmonysuon-imagen.hf.space/file="
            full_file_url = base_url + file_path
            
            if os.path.exists(file_path):
                update_user_points(user_chat_id, -5)
                notify_webhook_with_file(user_chat_id, full_file_url)  # Notify webhook with full file URL
                return full_file_url, "Check your telegram, The image was generated successfully."
            return None, "The image file is not available. Please try again later."
    return None, "There was an error processing your photo. Please try again later."
    
def handle_generate_image(prompt, resolution_key, user_chat_id):
    points = get_user_points(user_chat_id)
    if isinstance(points, str):
        if points == "User not found":
            return None, "Please register with https://t.me/myexpsupportBot"
        return None, "Error retrieving points. Please try again later."

    try:
        points = int(points)
    except ValueError:
        return None, "Error processing points. Please try again later."

    if points >= 5:
        result = gradio_interface(prompt, resolution_key, user_chat_id)
        if result[0]:
            return result[0], "The image was generated successfully."
        return None, "There was an error processing your photo. Please try again later."
    return None, "Insufficient points. Please get more points before generating an image."

def request_otp_and_update_ui(user_chat_id):
    # Validate user_chat_id
    if not user_chat_id.strip():
        return "User Chat ID cannot be blank. Please provide a valid User Chat ID or register with @supportBot to get UID."

    otp_response = request_otp(user_chat_id)
    if otp_response.get("success"):
        return "OTP has been sent to your Telegram"
    return "Error requesting OTP. Please try again later."

def create_gradio_interface():
    with gr.Blocks() as interface:
        gr.HTML("""
        <h1>AI ImaGen DALL·E 4K</h1>
        <h3>Welcome! Please enter your UID and OTP to continue or Register with <a href="https://t.me/myexpsupportBot">@SupportBot</a> to get UID</h3>
        """)

        with gr.Row():
            user_chat_id_input = gr.Textbox(label="Your UID", placeholder="Enter your UID")
            user_otp_input = gr.Textbox(label="OTP", type="password", placeholder="Enter your OTP")
            points_output = gr.Textbox(label="Your Balance", placeholder="Your Points", interactive=False)
            
        with gr.Row():
            request_otp_button = gr.Button("Request OTP")
            get_points_button = gr.Button("Verify OTP")

        message_output = gr.Textbox(label="Message", placeholder="Results and notifications will be shown here", interactive=False)
        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")
        result_output = gr.Image(label="Generated Image", type="pil")

        generate_button.click(
            fn=handle_generate_image,
            inputs=[prompt_input, resolution_dropdown, user_chat_id_input],
            outputs=[result_output, message_output]
        )

        get_points_button.click(
            fn=retrieve_user_points,
            inputs=[user_chat_id_input, user_otp_input],
            outputs=[points_output, message_output]
        )
        
        request_otp_button.click(
            fn=request_otp_and_update_ui,
            inputs=[user_chat_id_input],
            outputs=[message_output]
        )
        
        gr.HTML("""
        <style>
            footer.svelte-1rjryqp {
                display: none !important;
            }
        </style>
        """)

    return interface

def launch_gradio():
    interface = create_gradio_interface()
    interface.queue(max_size=20, api_open=False)  # Configure queue and API accessibility
    interface.launch(show_error=True)  # Enable verbose error reporting

if __name__ == '__main__':
    launch_gradio()