Spaces:
Runtime error
Runtime error
| 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(""" | |
| <h1>AI Image Generation DALL·E 4K</h1> | |
| <h3>Welcome! Please enter your user chat ID and OTP to continue.</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") | |
| 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(""" | |
| <style> | |
| footer.svelte-1rjryqp { | |
| display: none !important; | |
| } | |
| </style> | |
| """) | |
| return interface | |
| def launch_gradio(): | |
| interface = create_gradio_interface() | |
| interface.launch(show_error=True) # Enable verbose error reporting | |
| if __name__ == '__main__': | |
| launch_gradio() |