import gradio as gr from gradio_client import Client import os import logging import requests webhook_server = os.getenv('webhook_server') # Initialize the client for image generation "prithivMLmods/IMAGINEO-4K" "mukaist/DALLE-4K" client_image = Client("prithivMLmods/IMAGINEO-4K") # 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 None 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 "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 return "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, file_path): webhook_url = f"{webhook_server}/notify_image" payload = {'user_chat_id': user_chat_id, 'file_path': file_path} 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 path: {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 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 @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): otp_response = request_otp(user_chat_id) if otp_response.get("success"): return "OTP has been sent to your registered contact." return "Error requesting OTP. Please try again later." def create_gradio_interface(): with gr.Blocks() as interface: gr.HTML("""

AI Image Generation DALL·E 4K

Welcome! Please enter your user chat ID and OTP to continue.

""") 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") 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") message_output = gr.Textbox(label="Message", placeholder="Results and notifications will be shown here", interactive=False) 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] ) request_otp_button.click( fn=request_otp_and_update_ui, inputs=[user_chat_id_input], outputs=[message_output] ) gr.HTML(""" """) return interface def launch_gradio(): interface = create_gradio_interface() interface.launch(show_error=True) # Enable verbose error reporting if __name__ == '__main__': launch_gradio()