Huggingface cli login github.
Yes, just winget install --id GitHub.
● Huggingface cli login github It looks like there's a compatibility issue between the version of jupyter used by AWS Sagemaker Studio, ipywidgets and/or huggingface_hub. the Describe the bug. Believe this will be fixed by #23821 - will take a look if @Jofthomas doesn't have time!. 1. "ERROR! `huggingface-cli login` uses an outdated login mechanism " "that is not compatible with the Hugging Face Hub backend anymore. Sign up for GitHub Command Line Interface (CLI) The huggingface_hub Python package comes with a built-in CLI called huggingface-cli. If token is not provided, it I seem to have made progress to login and I think the issue was something not explained in the video. - nmehran/huggingface-repo-downloader I tried downloading the dataset using the huggingface-cli command and then loading it with load_dataset but I get an error: Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I suspect this is a bug or a problem in the workflow. tutorials on Hugging Face. Enterprise-grade huggingface-cli login For more details about authentication, check out this guide. co. This didn’t immediately work, but after I restarted my computer and re The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. HTTPError: Invalid user token. D:\stable-dreamfusion-main> huggingface-cli login --token xxxxx Token will not been saved to git credential helper. The CLI interface you are proposing would definitely be a wrapper around hf_hub_download as you mentioned. You can use Git to save new files and any changes to already existing files as a CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. To login from outside of a script, one can also use You signed in with another tab or window. You Yes, I was logged in and I can still reproduce. The easiest way to do this is by installing the huggingface_hub CLI and running the login command: python -m pip install huggingface_hub huggingface-cli login The content in the Getting Started section of this document is also available Download the checkpoints and configs 430 # use snapshot download here to get it working from from_pretrained 431 if not os. I'll try to have a look why it can happen. Share. dev0 - Platform: Linux-6. I've installed the latest versions of transformers and datasets and ipywidgets and the output of notebook_login wont render. For gated models that require Huggingface login, use --hf_username and - I love this project so far! Thanks everyone for working on it. Command Line Interface for Managing ComfyUI. ; Then when the API struct is created, it takes this path and checks the parent dir (omitting hub) to look for a file named token, thus default path is ~/. that are very large with Git LFS. Contribute to nogibjj/hugging-face-tutorials development by creating an account huggingface-cli login; If you get output about Authenticated through git-credential store but this isn't the helper defined on your machine To log in to your Hugging Face account using the command line interface (CLI), you can utilize the notebook_login function from the huggingface_hub library. co, so `revision` can be any identifier allowed by git. For functions from_XXX, it will create empty files into . To login, you need to paste a token from your account at https://huggingface. Configuration You can check the full list of configuration settings by opening your settings page ( cmd+, ) and typing Llm . path. Skip to content. You signed in with another tab or window. requests. When downloading the full pipeline with StableDiffusionPipeline and then using $ huggingface-cli login Token: <your_token_here> After entering your token, you should see a confirmation message indicating that you have successfully logged in. Contribute to p1atdev/huggingface_dl development by creating an account on GitHub. Spec for LFS custom About the issue in general: An important aspect that we would want to keep were we to move away from using git-credential store is for huggingface-cli login to still have side-effects on non-python-runtime tasks. You CLI Tool for Downloading Huggingface Models and Datasets - README_hfd. Fixed stream response & web search. HF_TOKEN = getpass() I enter my token here. This command will securely store your access token in your Hugging Face cache folder, typically located at ~/. Yes, just winget install --id GitHub. Topics Trending Open cli in with debug log type, log file can be found with the If you previously logged in with huggingface-cli login on your system the extension will read the token from disk. txt. isdir(pretrained_model_name_or_path): --> 432 config_dict = cls. In many cases, you must be logged in to a Hugging Face account to interact with the Hub (download private repos, upload files, create PRs, >>> huggingface-cli env Copy-and-paste the text below in your GitHub issue. huggingface-cli login. We have not been able to reproduce and it is hard to really give details, since it happens very rarely in a system that deletes the downloaded file after using it, so no real way You signed in with another tab or window. To log in to your Hugging Face account via the terminal, Learn how to log in to Hugging Face CLI for Transformers, enabling seamless model access and management. "Please use `huggingface-cli login instead. 0. You signed out in another tab or window. For example, you To access private or gated repositories, you must use a token. . HF_USERNAME }} password: ${{ secrets. To be able to push your code to the Hub, you’ll need to authenticate somehow. Saved searches Use saved searches to filter your results more quickly The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. When I manually type the token, I see small back dots appear indicating that the text field is being filled with text, but nothing like that happens when I cmd+v. I had some script fragments with commands I'd written that I was using, but you put it all together, actually parse the commandline arguments properly, etc. 31. compatible means the Api should reuse the same files skipping downloads if they are already present and whenever this crate downloads or modifies this cache it should be consistent with huggingface_hub. This argument will automatically create a repository under your Hugging Face username with the huggingface-cli login. For Describe the bug. All gists Back to GitHub Sign in Sign up Sign in Sign up You signed in with another tab or window. Sign up for GitHub By clicking “Sign up for GitHub”, System Info transformers = "^4. I am currently building a AML Pipeline that trains a Model and then automatically converts it to Onnx. from_pretrained works. OSError: None is not a local folder and is not a valid model identifier listed on 'https://huggingface. 35 - Python Login the machine to access the Hub. For example, you can login to your account, create a You signed in with another tab or window. System Info. resolver = "1" in the w 🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas - thevasudevgupta/huggingface-datasets CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. To log in from outside of a script, one can also use . Traceback (most recent call last): File "C:\Users\DELL CLI-Tool for download Huggingface models and datasets with aria2/wget: hfd - README_hfd. You can also create and share your own models, datasets and demos with the You signed in with another tab or window. You can use Git to save new files and any changes to already existing files as a This crates aims to emulate and be compatible with the huggingface_hub python package. - Add token and git credentials to login cli command · huggingface/huggingface_hub@f6f3915 Model description I tried to run the model on Colab and successfully logged in using huggingface cli login, Sign up for a free GitHub account to open an issue and contact its maintainers and the community. On huggingface homepage, on the right - Trending, I had to click CompVis/stable-diffusion-v1-4. run. ├── examples # contains demonstration examples, start here to learn about LeRobot | └── advanced # contains even more examples for those who have mastered the basics ├── lerobot | ├── configs # contains hydra yaml files with all options that you can override in the command line | | ├── default. convert_to_parquet Convert dataset to Parquet You signed in with another tab or window. 10" Running on elastic beanstalk ec2 Who can help? @Narsil Information The official example scripts My own modified scripts Tasks An officially supported task in the examples folder (such git-based system for storing models and other artifacts on huggingface. Describe the bug The huggingface-cli fails to download the microsoft/phi-3-mini-4k-instruct-onnx model because the . login() from any script not running in a notebook). !git config --global credential. Kinda related to CLI interface for downloading files #1105, asking for more CLI integrations. You switched accounts on another tab or window. Please don't use a true temp file, use a file that won't get deleted and a user can re-use it should they hit the wrong button - see Issue 1 above as an example. 35 - Python OSError: patrickvonplaten/gpt2-xl is not a local folder and is not a valid model identifier listed on 'https://huggingface. This process enables you to upload and share your models with the Hugging Face community, enhancing collaboration and accessibility. whl (236 kB) ━━━━━━━━━━━━━━ Saved searches Use saved searches to filter your results more quickly >>> datasets-cli --help usage: datasets-cli < command > [<args>] positional arguments: {convert, env, test,convert_to_parquet} datasets-cli command helpers convert Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset. Sign up for GitHub To effectively utilize the Hugging Face Hub within Jupyter Notebooks, logging in is a crucial first step. Are you running Jupyter notebook locally or is it a setup on a cloud provider? In the meantime you can also run huggingface-cli login from a terminal (or huggingface_hub. The token is persisted in cache and set as a git credential. This function simplifies the authentication process, allowing you to easily upload and share your models with the community. When I then copy my token and go cmd+v to paste it into the text field, nothing happens. Once logged in, all requests to the Hub - even methods that don't necessarily require authentication (with or without git). GitHub community articles Repositories. This tool allows you to interact with the Hugging Face Hub directly from a terminal. I say "actually useful" because to date I haven't yet been able to figure out how to easily get a dataset cached with the CLI to be used in any models in code. At this time only a limited subset of the functionality is present, the goal is to Remote huggingface diffusers is not accessible after a successful login Reproduction (pytorch)$ huggingface-cli login Sign up for a free GitHub account to open an issue and contact its maintainers and the community. env Print relevant system environment info. Download and save a repo with: htool save-repo <repo_id> <save_dir> -r <model/dataset>. Sign in Product Actions. To log in to your Hugging Face account using a Jupyter Notebook, you can utilize the notebook_login function from the huggingface_hub library. This cli should have been installed from requirements. cache/: huggingface-cli login Logging in via Jupyter Notebook You signed in with another tab or window. Host and manage packages To associate your repository with the huggingface-cli topic, visit your repo's landing page and select Hi @FurkanGozukara, sorry you are facing this other issue. 21. So what's happening is: A cache directory for HF to use is checked via the ENV HF_HOME, otherwise it defaults to ~/. The textual_inversion script in the diffusers repo raises the exception. Before you report an issue, we would really appreciate it if you could make sure the bug was not already reported (use the search bar on GitHub under Issues). git push works with 0. Be used by end-users. Follow edited Apr 10, 2023 at 18:54. Potential issues to gracefully handle: repo_id does not exist: if so, there is an existing huggingface-cli repo create to suggest--token is not passed and huggingface-cli login has not being run; PATH does not exists The 🤗 Transformers library is robust and reliable thanks to users who report the problems they encounter. ipynb file and the text box comes up as expected. 962 2 2 gold badges 13 13 silver badges 26 26 bronze badges. Note. 15. cli and gh auth login worked, but you have to close your terminal and re-open to try again. md", repo_id="lysandre/test-model", Or an entire To determine your currently active account, simply run the huggingface-cli whoami command. local_files_only (`bool`, *optional*, defaults to `False`): The easiest way to do this is by installing the huggingface_hub CLI and running the login command: Copied. This lets users upload large files >5GB 🔥. Automate any workflow Packages. path_or_fileobj="/home/lysandre/dummy-test/README. For example: htool save-repo OpenRL/tizero . The token stored in ~/. - huggingface_hub version: 0. You I am running the following in a VSCode notebook remotely: #!%load_ext autoreload #!%autoreload 2 %%sh pip install -q --upgrade pip pip install -q --upgrade diffusers transformers scipy ftfy huggingface_hub from huggingface_hub import not I'm not sure whether it is a Colab-specific issue. Login the machine to access the Hub. By default, the token saved locally (using huggingface-cli login) will be used. md", path_in_repo="README. The huggingface_hub library provides an easy way for users to interact with the Hub with Python. It is also possible to provide a different endpoint or configure a custom user-agent. python -m pip install huggingface_hub huggingface-cli login. Once done, the machine is logged in and the access token will be available across all huggingface_hub components. For gated models that require Huggingface login, use --hf_username and --hf_token to authenticate. This tool allows you to interact with the Hugging Face Hub directly from a terminal. co to deploy gemma2, and unless I store my HF API token as an envvar as opposed to a docker secret it isn't accessible before I'm in python code, so I'd have to do subprocess. this is on a cloud. cache/huggingface/hub for the cache directory. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. /tizero For example: htool save-repo OpenRL/DeepFakeFace Saved searches Use saved searches to filter your results more quickly If you have access to a terminal, you can log in by executing the following command in the virtual environment where the 🤗 Transformers library is installed. co/models' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=<your_token>` I can't do huggingface-cli login since I'm using baseten. Using huggingface-cli scan-cache a user is unable to access the (actually useful) second cache location. cache/huggingface/token. If you want to authenticate explicitly, use the --token option: To log in your machine, run the following CLI: # or using an environment variable . 37. It is built on top of the 🤗 Transformers and bitsandbytes libraries. 2 using username/password login, but it fails with 0. To do this, execute the CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. md Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 2 (transformers-cli env errored out for me) Who can help? @ArthurZucker @younesbelkada Information The official example scripts My own modified scripts Tasks An officially supported task in the exam A download tool for huggingface in CLI. -r means the repo is a model or dataset repo. I got several models to work but did run into an issue here. [01] using token. Using the normal transformers library I could load it by logging first into the console using huggingface-cli login command and then pass use_auth_token=True as follows: model = RobertaForQuestionAnswering. Hey @efriis, thanks for your answer!Looking at #23821 I don't think it'll solve the issue because that PR is improving the huggingface_token management inside HuggingFaceEndpoint and as I mentioned in the description, the HuggingFaceEndpoint works as expected with a huggingface. 0" python = "3. Sign up for a free GitHub account to open an issue and contact its CLI-Tool for download Huggingface models and datasets with aria2/wget: hfd - README_hfd. To log in to your Hugging Face account using the CLI, you need to utilize the notebook_login function from the huggingface_hub library. Hi again @singingwolfboy and thanks for the proposition 🙂 In general the focus of huggingface_hub has been on the python features more than the CLI itself (and that's why it is so tiny at the moment). Sign up for GitHub By clicking “Sign up for GitHub”, Contribute to nogibjj/hugging-face-tutorials development by creating an account on GitHub. However, I would expect the From the windows commandline, when I type or paste "huggingface-cli login", When I tried the same command from git bash, entering "huggingface-cli login" doesn't do anything and instead makes the line go down, similar to how pressing enter makes the line go down in microsoft word. To log in to your Hugging Face account using the command line interface (CLI), The huggingface_hub Python package comes with a built-in CLI called huggingface-cli. Supports fast transfer, resume functionality, and authentication for private repos. Once logged in, all requests to the Hub - even methods that don’t necessarily require authentication (with or without git). 1 with: username: ${{ secrets. co/chat api. It seems that initializing CLIPTokenizer with CLIPTokenizer. As suggested by @Wauplin, see: #6831 (comment) I would not advertise the --token arg in the example as this shouldn't be the recommended way (best to login with env variable or huggingface-cli login) CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. System Info transformers version: 4. with the commit context manager. Also, variable "max_retries" is set to 0 by default and huggingface transformers have not yet properly set this parameter yet. I get a similar issue a Describe the bug. Reproduction. The doc says to hit y but the program exits if y is hit and all careful manual editing is lost and the user has to start from scratch (ouch!). with the [~Repository. Your issue should also be related to bugs in the library itself, and not your code. Mounting the huggingface cache into the docker containers is optional, but will allow saving and re-using downloaded huggingface models across different runs and containers. co/models' If this is a private repository, make sure to pass a token having permission to this repo with The official Python client for the Huggingface Hub. AI-powered developer platform This is different than huggingface-cli login or [login] as the token is not persisted on the machine. Describe the bug We don't need to pass use_auth_token=True anymore to download gated datasets or models, so the following should work if correctly logged in. 6 huggingface_hub = 0. Run `huggingface-cli whoami` to get more information or `huggingface-cli logout` if you want to log out. I'm running huggingface_hub. At the moment we know that git commands are not as fast as the HTTP methods but they are quite practical to use. simply run the huggingface-cli whoami command. Start by executing the following command in your terminal: huggingface-cli login Once logged in, you can upload your model by adding the push_to_hub argument to your script. For gated models that require Huggingface login, use --hf_username and - huggingface-cli login. Whenever you want to upload files to the Hub, you need to log in to your Hugging Face account. yaml # selected by default, it loads pusht environment and diffusion Describe the bug When I run: pip install -U "huggingface_hub[cli]" I get this output: Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: huggingface_hub[cli] in /home/maxloo/. You can also create and share your own models, datasets and demos with the The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. login(token=HF_TOKEN) I then get the following: The token has not been saved to the git Describe the bug Installing huggingface_hub in a fresh virtualenv and then running huggingface-cli login results in: Sign up for a free GitHub account to open an issue and contact its maintainers and the community. The easiest way to do this is by installing the from huggingface_hub import login. 0-36-generic-x86_64-with-glibc2. The model is now hosted on a private repository in the HuggingFace hub. Can it be that you are working behind a proxy? Or that your firewall is blocking some requests? Can you try to run these snippets to Learn how to log in to the Huggingface Hub using Python for seamless access to Transformers models and datasets. - ogios/huggingchat-api. To make sure you can successfully run the latest versions of the example scripts, we highly recommend installing from source and keeping the install up to date as we update the example scripts frequently and install some example-specific requirements. " " "This is the issue that I am not able to solve. login() in a . CLI must determine which one to use based on if PATH is a file or a folder. Pass add_to_git_credential=True if you want to set the git credential as well. This library facilitates programmatic interactions with the Hub, allowing for seamless model management and sharing. Originally from @apolinario on slack (private link): Someone asked me how to upload a model with cli. In many cases, you must be logged in to a Hugging Face account to interact with the Hub (download private repos, upload files, create PRs, >>> huggingface-cli env Copy-and-paste the text below in your GitHub See huggingface-cli login documentation and when loading the dataset use use_auth_token=True: load_dataset(corpus, language, split=None, use_auth_token=True, cache_dir=cache_folder) All reactions 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools - Issues · huggingface/optimum Install the huggingface-cli and run huggingface-cli login - this will prompt you to enter your token and set it at the right path; Choose your model on the Hugging Face Hub, and, in order of precedence, you can either: Set the LLM_NVIM_MODEL environment variable; Pass model = <model identifier> in plugin opts Thank you SO MUCH for posting this. 2. md. If token is not provided, it will be prompted to the user either with a widget (in a notebook) or via the terminal. huggingface/token could be used by all of our Python code, including Repository without much issue. It can be configured to give fully equivalent results to the original implementation, or reduce memory requirements down to just the largest layer in the model! CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. Command Line Interface (CLI) The huggingface_hub Python package comes with a built-in CLI called huggingface-cli. For example, you can login to your account, create a All of the above cases can be dealt with upload_file and upload_folder. Before running the scripts, make sure to install the library's training dependencies: Important. incomplete file of the . CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. This allows you to interact with the Hugging Face Hub, including uploading models and datasets. For example, you can login to your account, create a You will also need to install Git LFS, which will be used to handle large files such as images and model weights. For example, you can login to your CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. Hey :) just wanna say i am also very intrested in this. It saves developers the time and computational resources required to train models from scratch. 1-py3-none-any. When I run cargo run --example bigcode --release. helper store !huggingface-cli login !git push remote: Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly Hugging Face provides a Hub platform that allows you to upload, share, and deploy your models with ease. 4. Harsh. However, deploying models in a real-world production environment or for git-lfs. no_exist directory if repo have some files missed, however the CLI tool huggingface-cli download won't do so, which caused inconsistency issues. The huggingface_hub Python package comes with a built-in CLI called huggingface-cli. This is probably not an issue with huggingface_hub but a network or configuration issue on your side. The notebook_login function from the huggingface_hub library allows you to authenticate your session seamlessly. cargo run --example llama --release warning: some crates are on edition 2021 which defaults to resolver = "2", but virtual workspaces default to resolver = "1" note: to keep the current resolver, specify workspace. Once logged in, all requests to the Hub - even methods that don’t necessarily require authentication - will use your access token by default. test Test dataset implementation. The question on our side is more to know how much we on: [push] jobs: example-job: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v2 - name: Login to HuggingFace Hub uses: osbm/huggingface_login@v0. Also note in the System info - Running in notebook ?:No - but I am running in a CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. From #1564 (comment): If I understand correctly, a simple CLI command to move the cache from one path to another would be great for some users? cc @vladmandic The simplest version would be to copy only the blobs/ folder and symlinks will This repository provides an easy way to run Gemma-2 locally directly from your CLI (or via a Python library) and fast. Next steps. You This line of code only consider ConnectTimeout, and fails to address the connection timeout when proxy is used. This method allows you to authenticate your session seamlessly, enabling you to 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX. from_pretrained doesn't work while StableDiffusionPipeline. , git commit -m "", git push. By default, it is a model repo. Contribute to Comfy-Org/comfy-cli development by creating an account on GitHub. If you can’t see it, use the search and scroll down to Agree & Access Repository. OSError: model is not a local folder and is not a valid model identifier listed on 'https://huggingface. co/models' If this is a private repository, make sure to pass a token having permission to this repo with huggingface-cli login For users working in a Jupyter notebook or Google Colaboratory, it is crucial to have the huggingface_hub library installed. Run huggingface-cli login. Reload to refresh your session. (base) learn-vllm git:(master) huggingface-cli login A token is already saved on your machine. " CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. Upload a single file. 19. ;-) Describe the bug. but it doesn't work:( CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. Hopefully, someone can help me with it. - huggingface/diffusers (not supported yet) Install the huggingface-cli and run huggingface-cli login - this will prompt you to enter your token and set it at the right path; Choose your model on the Hugging Face Hub, and set Model = <model identifier> in plugin settings For gated models add a comment on how to create the token + update the code snippet to include the token (edit: as a placeholder) For a more fine-grained control of what's downloaded. Then. from datasets import load_dataset load_ without using Git. Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. If you didn't pass a user token, make sure you are properly logged in by executing huggingface-cli login, and if you did pass a user token, double-check it's correct. from_pretrained(PRIVATE_REPO_PATH,use_auth_token= True) I run this [from huggingface_hub import notebook_login notebook_login() ] on cell and enter my token. AI-powered developer platform Available add-ons. Advanced Security. You can also create and share your own models, datasets and demos with the The easiest way to do this is by installing the huggingface_hub CLI and running the login command: Copied. load_config( 433 pretrained_model_name_or_path, 434 cache_dir=cache_dir, 435 resume_download=resume_download, 436 force_download=force_download, 437 Be as easy to use as git add . Improve this answer. hf_transfer = 0. push_to_hub] function. It does exactly what I want (git lfs clone with GIT_LFS_SKIP_SMUDGE set, then download large files with aria2c). More than 100 million people use GitHub to discover, fork, and contribute to over 420 Navigation Menu Toggle navigation. This process allows you to authenticate your account, enabling you to upload and Python CLI tool for downloading Hugging Face repositories. This step is necessary for the pipeline to push the generated datasets to your Hugging Face account. loca You signed in with another tab or window. exceptions. This was my journey: I googled cli hugging face face upload models -> it lands me at https://hu CLI-Tool for download Huggingface models and datasets with aria2/wget+git - README_hfd. Describe the bug $ python -m pip install huggingface_hub Defaulting to user installation because normal site-packages is not writeable Collecting huggingface_hub Downloading huggingface_hub-0. Firstly, you need to login with huggingface-cli login (you can create or find your token at settings). onnx data file is missing. To upload your model to the Model Hub, ensure you are logged into your Hugging Face account. Topics Trending Collections Enterprise Enterprise platform. HF_PASSWORD }} add_to_git_credentials: true - name: Check if logged in run: | huggingface-cli whoami Login the machine to access the Hub. lfrqpiudlieacflsuamvrfokguurlcdaxkjrvnmmrtnvvvaugnrk