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Runtime error
measmonysuon
commited on
Commit
•
f8dd778
1
Parent(s):
81ead26
Update app.py
Browse files
app.py
CHANGED
@@ -16,7 +16,7 @@ API_TOKEN = os.getenv('ZeroGPU')
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# Set your token
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login(token=API_TOKEN, add_to_git_credential=True)
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# Initialize API client
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api = HfApi(token=
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# Initialize the client for image generation "prithivMLmods/IMAGINEO-4K" "mukaist/DALLE-4K"
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client_image = Client("measmonysuon/DALLE-4K")
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@@ -39,7 +39,6 @@ logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def generate_image(prompt, resolution_key, style=DEFAULT_STYLE):
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api.request_space_hardware(repo_id='measmonysuon/DALLE-4K', hardware='a10g-large')
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resolution = resolutions.get(resolution_key, (1024, 1024))
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width, height = resolution
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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"
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@@ -58,11 +57,9 @@ def generate_image(prompt, resolution_key, style=DEFAULT_STYLE):
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api_name="/run"
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logger.info("Image generation successful.")
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api.request_space_hardware(repo_id='measmonysuon/DALLE-4K', hardware='zero-a10g')
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return result
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except Exception as e:
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logger.error(f"Error generating image: {e}")
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api.request_space_hardware(repo_id='measmonysuon/DALLE-4K', hardware='zero-a10g')
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return None
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def request_otp(user_chat_id):
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@@ -144,9 +141,13 @@ def notify_webhook(user_chat_id):
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except requests.RequestException as e:
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logger.error(f"Error sending webhook notification: {e}")
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def notify_webhook_with_file(user_chat_id, full_file_url):
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webhook_url = f"{webhook_server}/notify_image"
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payload = {
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try:
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response = requests.post(webhook_url, json=payload)
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response.raise_for_status()
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@@ -172,21 +173,40 @@ def gradio_interface(prompt, resolution_key, user_chat_id):
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def gradio_interface(prompt, resolution_key, user_chat_id):
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if not user_chat_id.strip():
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return None, "User Chat ID cannot be blank. Please provide a valid User Chat ID or register with @supportBot to get UID."
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if os.path.exists(file_path):
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update_user_points(user_chat_id, -5)
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notify_webhook_with_file(user_chat_id, full_file_url) # Notify webhook with full file URL
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return full_file_url, "Check your telegram, The image was generated successfully."
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return None, "The image file is not available. Please try again later."
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def handle_generate_image(prompt, resolution_key, user_chat_id):
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points = get_user_points(user_chat_id)
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# Set your token
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login(token=API_TOKEN, add_to_git_credential=True)
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# Initialize API client
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api = HfApi(token=API_TOKEN)
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# Initialize the client for image generation "prithivMLmods/IMAGINEO-4K" "mukaist/DALLE-4K"
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client_image = Client("measmonysuon/DALLE-4K")
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logger = logging.getLogger(__name__)
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def generate_image(prompt, resolution_key, style=DEFAULT_STYLE):
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resolution = resolutions.get(resolution_key, (1024, 1024))
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width, height = resolution
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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"
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api_name="/run"
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)
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logger.info("Image generation successful.")
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return result
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except Exception as e:
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logger.error(f"Error generating image: {e}")
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return None
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def request_otp(user_chat_id):
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except requests.RequestException as e:
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logger.error(f"Error sending webhook notification: {e}")
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def notify_webhook_with_file(user_chat_id, full_file_url, gpu_info):
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webhook_url = f"{webhook_server}/notify_image"
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payload = {
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'user_chat_id': user_chat_id,
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'file_path': full_file_url,
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'gpu_info': gpu_info
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}
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try:
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response = requests.post(webhook_url, json=payload)
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response.raise_for_status()
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def gradio_interface(prompt, resolution_key, user_chat_id):
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if not user_chat_id.strip():
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return None, "User Chat ID cannot be blank. Please provide a valid User Chat ID or register with @supportBot to get UID."
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# Request large hardware for image generation
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api.request_space_hardware(repo_id='measmonysuon/DALLE-4K', hardware='a10g-large')
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# Get GPU info
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gpu_info = f"Is CUDA available: {torch.cuda.is_available()}"
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try:
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# Generate the image
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result = generate_image(prompt, resolution_key)
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if result and result[0]:
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file_path = result[0][0].get('image')
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if file_path:
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# Combine base URL with file path to create full URL
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base_url = "https://measmonysuon-imagen.hf.space/file="
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full_file_url = base_url + file_path
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if os.path.exists(file_path):
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# Update user points and notify webhook
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update_user_points(user_chat_id, -5)
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notify_webhook_with_file(user_chat_id, full_file_url, gpu_info) # Notify webhook with full file URL
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return full_file_url, f"Check your telegram, The image was generated successfully. {gpu_info}"
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return None, "The image file is not available. Please try again later."
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return None, "The image file is not available. Please try again later."
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return None, "There was an error processing your photo. Please try again later."
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finally:
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# Always request to switch back hardware
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api.request_space_hardware(repo_id='measmonysuon/DALLE-4K', hardware='zero-a10g')
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def handle_generate_image(prompt, resolution_key, user_chat_id):
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points = get_user_points(user_chat_id)
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