first time here, just install and first try, thanks to all
here is the log
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
gradio temporary image cache located at C:\Users\User\Documents\ia\shark_tmp/gradio. You may change this by setting the GRADIO_TEMP_DIR environment variable.
No temporary images files to clear.
vulkan devices are available.
metal devices are not available.
cuda devices are not available.
rocm devices are available.
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
local-sync devices are available.
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
local-task devices are available.
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
Running on local URL: http://0.0.0.0:8080
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
To create a public link, set share=True in launch().
Found device AMD Radeon(TM) Graphics. Using target triple rdna2-unknown-windows.
Using tuned models for stabilityai/stable-diffusion-2-1-base(fp16) on device vulkan://00000000-0300-0000-0000-000000000000.
scheduler/scheduler_config.json: 100%|█████████████████████████████████████████████████| 346/346 [00:00<00:00, 352kB/s]
huggingface_hub\file_download.py:138: UserWarning: huggingface_hub cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\User.cache\huggingface\hub. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the HF_HUB_DISABLE_SYMLINKS_WARNING environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
saving euler_scale_model_input_1_512_512_vulkan_fp16_torch_linalg.mlir to C:\Users\User\AppData\Local\Temp
No vmfb found. Compiling and saving to C:\Users\User\Documents\ia\euler_scale_model_input_1_512_512_vulkan_fp16.vmfb
Configuring for device:vulkan://00000000-0300-0000-0000-000000000000
Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args
Saved vmfb in C:\Users\User\Documents\ia\euler_scale_model_input_1_512_512_vulkan_fp16.vmfb.
WARNING: [Loader Message] Code 0 : windows_read_data_files_in_registry: Registry lookup failed to get layer manifest files.
Loading module C:\Users\User\Documents\ia\euler_scale_model_input_1_512_512_vulkan_fp16.vmfb...
Compiling Vulkan shaders. This may take a few minutes.
saving euler_step_1_512_512_vulkan_fp16_torch_linalg.mlir to C:\Users\User\AppData\Local\Temp
No vmfb found. Compiling and saving to C:\Users\User\Documents\ia\euler_step_1_512_512_vulkan_fp16.vmfb
Configuring for device:vulkan://00000000-0300-0000-0000-000000000000
Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args
Saved vmfb in C:\Users\User\Documents\ia\euler_step_1_512_512_vulkan_fp16.vmfb.
Loading module C:\Users\User\Documents\ia\euler_step_1_512_512_vulkan_fp16.vmfb...
Compiling Vulkan shaders. This may take a few minutes.
use_tuned? sharkify: True
_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base
tokenizer/vocab.json: 100%|███████████████████████████████████████████████████████| 1.06M/1.06M [00:00<00:00, 11.3MB/s]
tokenizer/merges.txt: 100%|█████████████████████████████████████████████████████████| 525k/525k [00:00<00:00, 3.68MB/s]
tokenizer/special_tokens_map.json: 100%|██████████████████████████████████████████████████████| 460/460 [00:00<?, ?B/s]
tokenizer/tokenizer_config.json: 100%|████████████████████████████████████████████████████████| 807/807 [00:00<?, ?B/s]
text_encoder/config.json: 100%|███████████████████████████████████████████████████████████████| 613/613 [00:00<?, ?B/s]
model.safetensors: 100%|██████████████████████████████████████████████████████████| 1.36G/1.36G [04:00<00:00, 5.66MB/s]
saving clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan_torch_linalg.mlir to .
No vmfb found. Compiling and saving to C:\Users\User\Documents\ia\clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan.vmfb
Configuring for device:vulkan://00000000-0300-0000-0000-000000000000
Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args
Saved vmfb in C:\Users\User\Documents\ia\clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan.vmfb.
Loading module C:\Users\User\Documents\ia\clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan.vmfb...
Compiling Vulkan shaders. This may take a few minutes.
unet/config.json: 100%|███████████████████████████████████████████████████████████████████████| 911/911 [00:00<?, ?B/s]
diffusion_pytorch_model.safetensors: 100%|████████████████████████████████████████| 3.46G/3.46G [09:49<00:00, 5.87MB/s]
torch\fx\node.py:263: UserWarning: Trying to prepend a node to itself. This behavior has no effect on the graph.
warnings.warn("Trying to prepend a node to itself. This behavior has no effect on the graph.")
Loading Winograd config file from C:\Users\User.local/shark_tank/configs\unet_winograd_vulkan.json
404 GET https://storage.googleapis.com/storage/v1/b/shark_tank/o?projection=noAcl&prefix=sd_tuned%2Fconfigs&prettyPrint=false: The specified bucket does not exist.
Retrying with a different base model configuration
mat1 and mat2 shapes cannot be multiplied (128x768 and 1024x320)
Retrying with a different base model configuration
Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 9, 64, 64] to have 4 channels, but got 9 channels instead
Retrying with a different base model configuration
Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 9, 64, 64] to have 4 channels, but got 9 channels instead
Retrying with a different base model configuration
Given groups=1, weight of size [320, 4, 3, 3], expected input[4, 7, 512, 512] to have 4 channels, but got 7 channels instead
Retrying with a different base model configuration
ERROR: Traceback (most recent call last):
File "asyncio\runners.py", line 190, in run
File "asyncio\runners.py", line 118, in run
File "asyncio\base_events.py", line 640, in run_until_complete
File "asyncio\windows_events.py", line 321, in run_forever
File "asyncio\base_events.py", line 607, in run_forever
File "asyncio\base_events.py", line 1922, in _run_once
File "asyncio\events.py", line 80, in _run
File "gradio\queueing.py", line 431, in process_events
File "gradio\queueing.py", line 388, in call_prediction
File "gradio\route_utils.py", line 219, in call_process_api
File "gradio\blocks.py", line 1437, in process_api
File "gradio\blocks.py", line 1123, in call_function
File "gradio\utils.py", line 503, in async_iteration
File "gradio\utils.py", line 496, in anext
File "anyio\to_thread.py", line 33, in run_sync
File "anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
File "anyio_backends_asyncio.py", line 807, in run
File "gradio\utils.py", line 479, in run_sync_iterator_async
File "gradio\utils.py", line 629, in gen_wrapper
File "ui\txt2img_ui.py", line 195, in txt2img_inf
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_txt2img.py", line 134, in generate_images
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 235, in produce_img_latents
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 114, in load_unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 858, in unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 853, in unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 63, in check_compilation
SystemExit: Could not compile Unet. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issues
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "starlette\routing.py", line 686, in lifespan
File "uvicorn\lifespan\on.py", line 137, in receive
File "asyncio\queues.py", line 158, in get
asyncio.exceptions.CancelledError
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "asyncio\runners.py", line 190, in run
File "asyncio\runners.py", line 118, in run
File "asyncio\base_events.py", line 640, in run_until_complete
File "asyncio\windows_events.py", line 321, in run_forever
File "asyncio\base_events.py", line 607, in run_forever
File "asyncio\base_events.py", line 1922, in _run_once
File "asyncio\events.py", line 80, in _run
File "gradio\queueing.py", line 431, in process_events
File "gradio\queueing.py", line 388, in call_prediction
File "gradio\route_utils.py", line 219, in call_process_api
File "gradio\blocks.py", line 1437, in process_api
File "gradio\blocks.py", line 1123, in call_function
File "gradio\utils.py", line 503, in async_iteration
File "gradio\utils.py", line 496, in anext
File "anyio\to_thread.py", line 33, in run_sync
File "anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
File "anyio_backends_asyncio.py", line 807, in run
File "gradio\utils.py", line 479, in run_sync_iterator_async
File "gradio\utils.py", line 629, in gen_wrapper
File "ui\txt2img_ui.py", line 195, in txt2img_inf
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_txt2img.py", line 134, in generate_images
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 235, in produce_img_latents
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 114, in load_unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 858, in unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 853, in unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 63, in check_compilation
SystemExit: Could not compile Unet. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issues
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "uvicorn\protocols\websockets\websockets_impl.py", line 247, in run_asgi
File "uvicorn\middleware\proxy_headers.py", line 84, in call
File "fastapi\applications.py", line 292, in call
File "starlette\applications.py", line 122, in call
File "starlette\middleware\errors.py", line 149, in call
File "starlette\middleware\cors.py", line 75, in call
File "starlette\middleware\exceptions.py", line 68, in call
File "fastapi\middleware\asyncexitstack.py", line 17, in call
File "starlette\routing.py", line 718, in call
File "starlette\routing.py", line 341, in handle
File "starlette\routing.py", line 82, in app
File "fastapi\routing.py", line 324, in app
File "gradio\routes.py", line 578, in join_queue
File "asyncio\tasks.py", line 639, in sleep
asyncio.exceptions.CancelledError
Keyboard interruption in main thread... closing server.
first time here, just install and first try, thanks to all
here is the log
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag gradio temporary image cache located at C:\Users\User\Documents\ia\shark_tmp/gradio. You may change this by setting the GRADIO_TEMP_DIR environment variable. No temporary images files to clear. vulkan devices are available. metal devices are not available. cuda devices are not available. rocm devices are available. shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag local-sync devices are available. shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag local-task devices are available. shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
Running on local URL: http://0.0.0.0:8080 IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade. IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
IMPORTANT: You are using gradio version 3.44.3, however version 4.29.0 is available, please upgrade.
shark_tank local cache is located at C:\Users\User.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
To create a public link, set
share=Trueinlaunch(). Found device AMD Radeon(TM) Graphics. Using target triple rdna2-unknown-windows. Using tuned models for stabilityai/stable-diffusion-2-1-base(fp16) on device vulkan://00000000-0300-0000-0000-000000000000. scheduler/scheduler_config.json: 100%|█████████████████████████████████████████████████| 346/346 [00:00<00:00, 352kB/s] huggingface_hub\file_download.py:138: UserWarning:huggingface_hubcache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\User.cache\huggingface\hub. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting theHF_HUB_DISABLE_SYMLINKS_WARNINGenvironment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations. To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development saving euler_scale_model_input_1_512_512_vulkan_fp16_torch_linalg.mlir to C:\Users\User\AppData\Local\Temp No vmfb found. Compiling and saving to C:\Users\User\Documents\ia\euler_scale_model_input_1_512_512_vulkan_fp16.vmfb Configuring for device:vulkan://00000000-0300-0000-0000-000000000000 Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args Saved vmfb in C:\Users\User\Documents\ia\euler_scale_model_input_1_512_512_vulkan_fp16.vmfb. WARNING: [Loader Message] Code 0 : windows_read_data_files_in_registry: Registry lookup failed to get layer manifest files. Loading module C:\Users\User\Documents\ia\euler_scale_model_input_1_512_512_vulkan_fp16.vmfb... Compiling Vulkan shaders. This may take a few minutes. saving euler_step_1_512_512_vulkan_fp16_torch_linalg.mlir to C:\Users\User\AppData\Local\Temp No vmfb found. Compiling and saving to C:\Users\User\Documents\ia\euler_step_1_512_512_vulkan_fp16.vmfb Configuring for device:vulkan://00000000-0300-0000-0000-000000000000 Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args Saved vmfb in C:\Users\User\Documents\ia\euler_step_1_512_512_vulkan_fp16.vmfb. Loading module C:\Users\User\Documents\ia\euler_step_1_512_512_vulkan_fp16.vmfb... Compiling Vulkan shaders. This may take a few minutes. use_tuned? sharkify: True _1_64_512_512_fp16_tuned_stable-diffusion-2-1-base tokenizer/vocab.json: 100%|███████████████████████████████████████████████████████| 1.06M/1.06M [00:00<00:00, 11.3MB/s] tokenizer/merges.txt: 100%|█████████████████████████████████████████████████████████| 525k/525k [00:00<00:00, 3.68MB/s] tokenizer/special_tokens_map.json: 100%|██████████████████████████████████████████████████████| 460/460 [00:00<?, ?B/s] tokenizer/tokenizer_config.json: 100%|████████████████████████████████████████████████████████| 807/807 [00:00<?, ?B/s] text_encoder/config.json: 100%|███████████████████████████████████████████████████████████████| 613/613 [00:00<?, ?B/s] model.safetensors: 100%|██████████████████████████████████████████████████████████| 1.36G/1.36G [04:00<00:00, 5.66MB/s] saving clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan_torch_linalg.mlir to . No vmfb found. Compiling and saving to C:\Users\User\Documents\ia\clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan.vmfb Configuring for device:vulkan://00000000-0300-0000-0000-000000000000 Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args Saved vmfb in C:\Users\User\Documents\ia\clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan.vmfb. Loading module C:\Users\User\Documents\ia\clip_1_64_512_512_fp16_tuned_stable-diffusion-2-1-base_vulkan.vmfb... Compiling Vulkan shaders. This may take a few minutes. unet/config.json: 100%|███████████████████████████████████████████████████████████████████████| 911/911 [00:00<?, ?B/s] diffusion_pytorch_model.safetensors: 100%|████████████████████████████████████████| 3.46G/3.46G [09:49<00:00, 5.87MB/s] torch\fx\node.py:263: UserWarning: Trying to prepend a node to itself. This behavior has no effect on the graph. warnings.warn("Trying to prepend a node to itself. This behavior has no effect on the graph.") Loading Winograd config file from C:\Users\User.local/shark_tank/configs\unet_winograd_vulkan.json 404 GET https://storage.googleapis.com/storage/v1/b/shark_tank/o?projection=noAcl&prefix=sd_tuned%2Fconfigs&prettyPrint=false: The specified bucket does not exist. Retrying with a different base model configuration mat1 and mat2 shapes cannot be multiplied (128x768 and 1024x320) Retrying with a different base model configuration Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 9, 64, 64] to have 4 channels, but got 9 channels instead Retrying with a different base model configuration Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 9, 64, 64] to have 4 channels, but got 9 channels instead Retrying with a different base model configuration Given groups=1, weight of size [320, 4, 3, 3], expected input[4, 7, 512, 512] to have 4 channels, but got 7 channels instead Retrying with a different base model configuration ERROR: Traceback (most recent call last): File "asyncio\runners.py", line 190, in run File "asyncio\runners.py", line 118, in run File "asyncio\base_events.py", line 640, in run_until_complete File "asyncio\windows_events.py", line 321, in run_forever File "asyncio\base_events.py", line 607, in run_forever File "asyncio\base_events.py", line 1922, in _run_once File "asyncio\events.py", line 80, in _run File "gradio\queueing.py", line 431, in process_events File "gradio\queueing.py", line 388, in call_prediction File "gradio\route_utils.py", line 219, in call_process_api File "gradio\blocks.py", line 1437, in process_api File "gradio\blocks.py", line 1123, in call_function File "gradio\utils.py", line 503, in async_iteration File "gradio\utils.py", line 496, in anext File "anyio\to_thread.py", line 33, in run_sync File "anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread File "anyio_backends_asyncio.py", line 807, in run File "gradio\utils.py", line 479, in run_sync_iterator_async File "gradio\utils.py", line 629, in gen_wrapper File "ui\txt2img_ui.py", line 195, in txt2img_inf File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_txt2img.py", line 134, in generate_images File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 235, in produce_img_latents File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 114, in load_unet File "apps\stable_diffusion\src\models\model_wrappers.py", line 858, in unet File "apps\stable_diffusion\src\models\model_wrappers.py", line 853, in unet File "apps\stable_diffusion\src\models\model_wrappers.py", line 63, in check_compilation SystemExit: Could not compile Unet. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issuesDuring handling of the above exception, another exception occurred:
Traceback (most recent call last): File "starlette\routing.py", line 686, in lifespan File "uvicorn\lifespan\on.py", line 137, in receive File "asyncio\queues.py", line 158, in get asyncio.exceptions.CancelledError
ERROR: Exception in ASGI application Traceback (most recent call last): File "asyncio\runners.py", line 190, in run File "asyncio\runners.py", line 118, in run File "asyncio\base_events.py", line 640, in run_until_complete File "asyncio\windows_events.py", line 321, in run_forever File "asyncio\base_events.py", line 607, in run_forever File "asyncio\base_events.py", line 1922, in _run_once File "asyncio\events.py", line 80, in _run File "gradio\queueing.py", line 431, in process_events File "gradio\queueing.py", line 388, in call_prediction File "gradio\route_utils.py", line 219, in call_process_api File "gradio\blocks.py", line 1437, in process_api File "gradio\blocks.py", line 1123, in call_function File "gradio\utils.py", line 503, in async_iteration File "gradio\utils.py", line 496, in anext File "anyio\to_thread.py", line 33, in run_sync File "anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread File "anyio_backends_asyncio.py", line 807, in run File "gradio\utils.py", line 479, in run_sync_iterator_async File "gradio\utils.py", line 629, in gen_wrapper File "ui\txt2img_ui.py", line 195, in txt2img_inf File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_txt2img.py", line 134, in generate_images File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 235, in produce_img_latents File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 114, in load_unet File "apps\stable_diffusion\src\models\model_wrappers.py", line 858, in unet File "apps\stable_diffusion\src\models\model_wrappers.py", line 853, in unet File "apps\stable_diffusion\src\models\model_wrappers.py", line 63, in check_compilation SystemExit: Could not compile Unet. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issues
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "uvicorn\protocols\websockets\websockets_impl.py", line 247, in run_asgi File "uvicorn\middleware\proxy_headers.py", line 84, in call File "fastapi\applications.py", line 292, in call File "starlette\applications.py", line 122, in call File "starlette\middleware\errors.py", line 149, in call File "starlette\middleware\cors.py", line 75, in call File "starlette\middleware\exceptions.py", line 68, in call File "fastapi\middleware\asyncexitstack.py", line 17, in call File "starlette\routing.py", line 718, in call File "starlette\routing.py", line 341, in handle File "starlette\routing.py", line 82, in app File "fastapi\routing.py", line 324, in app File "gradio\routes.py", line 578, in join_queue File "asyncio\tasks.py", line 639, in sleep asyncio.exceptions.CancelledError Keyboard interruption in main thread... closing server.