How to use openai whisper. Once you have an API key, you can use it to make .

How to use openai whisper Dec 18, 2024 · Whisper from OpenAI is a speech recognition system that can transcribe and translate spoken texts. 4, 5, 6 Because Whisper was trained on a large and diverse dataset and was not fine-tuned to any specific one, it does not beat models that specialize in LibriSpeech performance, a famously competitive benchmark in speech recognition. Resources for Further Exploration of OpenAI Whisper Mar 10, 2023 · I'm new in C# i want to make voice assistant in C# and use Whisper for Speech-To-Text. It's important to have the CUDA version of PyTorch installed first. Jan 31, 2025 · The first step in transcribing audio using Whisper is to utilize the OpenAI audio API. 1 or newer installed on your system. However, utilizing this groundbreaking technology has its complexities. The Whisper model can transcribe human speech in numerous languages, and it can also translate other languages into English. txt" # Cuda allows for the GPU to be used which is more optimized than the cpu torch. This guide will take you through the process step-by-step, ensuring a smooth setup. The way OpenAI Whisper works is a bit like a translator. It’s built on the Whisper model, which is a type of deep learning model specifically designed for automatic speech recognition (ASR). Embark on our OpenAI Whisper tutorial, unveiling how to skillfully employ Whisper to transcribe YouTube videos, harnessing the power of speech recognition. Hardcore, but the best (local installation). Creating a Whisper Application using Node. Use Whisper via command line or Jan 29, 2025 · So I'll clear the terminal. js, the below are the steps to Implement Whisper Model in an Azure Function: Nov 2, 2023 · A popular method is to combine the two and use time stamps to sync up the accurate whisper word detection with the other systems ability to detect who sad it and when. This approach is aimed at Jan 29, 2025 · To install it, type in pip install, and here I'll type in a dash u. It's going to install a ton of stuff. This resource provides comprehensive guidance on model options, advanced configurations, and troubleshooting tips. This article will guide you through using Whisper to convert spoken words into written form, providing a straightforward approach for anyone looking to leverage AI for efficient transcription. These transcripts, whether in original Nov 22, 2024 · Setting up the machine and get ready =). 1 Like show post in topic Jan 17, 2023 · The . It includes the following options: You signed in with another tab or window. OpenAI Whisper: Transcribe and Translate Texts. Dec 22, 2024 · Enter Whisper. this is my python code: import Jan 15, 2025 · I understand that you would like to know how you can use the whisper OpenAI model in an azure function for azure static webapp. Apr 20, 2023 · The Whisper API is a part of openai/openai-python, which allows you to access various OpenAI services and models. Nov 28, 2023 · Whisper JAX ⚡️ can now be used as an endpoint - send audio files straight from a Python shell to be transcribed as fast as on the demo! The only requirement is the lightweight Gradio Client library - everything else is taken care for you (including loading the audio file) 🚀 Sep 22, 2022 · Whisper can be used on both CPU and GPU; however, inference time is prohibitively slow on CPU when using the larger models, so it is advisable to run them only on GPU. Clone the Whisper repository using Git. Use o Whisper via linha de comando ou scripts Python. Is OpenAI Whisper Open Source? Yes, Whisper is open-source. Whisper is designed to convert spoken language into written text seamlessly. Since the capability of Faster-Whisper is the same as the vanilla Whisper, we can process long-form audio using a sliding window. The first one is to use OpenAI's whisper Python library, and the second one is to use the Hugging Face Transformers implementation of Whisper. Here’s how you can effectively use OpenAI Whisper for your speech-to-text needs: Transcribe audio files locally: First, install Whisper and its required dependencies. Is there a specific way to obtain the duration in minutes of a transcription performed with Whisper? I’m looking to integrate this information into my application, and I 5 hours ago · This comprehensive guide will walk you through the process of creating a robust speech-to-text application using OpenAI's state-of-the-art Whisper model. How do you utilize your machine’s GPU to run OpenAI Whisper Model? Here is a guide on how to do so. Import the openai library and assign your generated API KEY by replacing “YOUR_API_KEY” with your API key in the below code. First, import Whisper and load the pre-trained model of your choice. I tested with Whisper but the delay to return the response was quite large, also I had to keep calling the API each few seconds. Next, each segment undergoes conversion into a mel-frequency cepstrum (MFC), which is a robust representation of the audio signal that accounts for both noise and accents. Nov 2, 2023 · A popular method is to combine the two and use time stamps to sync up the accurate whisper word detection with the other systems ability to detect who sad it and when. By following these steps, you’ve successfully built a Node. Whisper is an State-of-the-Art speech recognition system from OpenAI that has been trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Step 2: Import Openai library and add your API KEY in the environment. The app will allow users to record their voices, send the audio to OpenAI 5 days ago · Once the environment is created, activate it using: conda activate whisper-env Step 3 - Install Whisper. This process involves utilizing the Whisper model, which is adept at converting spoken language into written text. Mar 3, 2023 · To use the Whisper API [1] from OpenAI in Postman, you will need to have a valid API key. Sep 23, 2022 · Whisper Example: How to Use OpenAI’s Whisper for Speech Recognition. Dec 3, 2023 · -F "model='whisper-1'" but it doesn't work and just returns: The given cURL command is used to make a HTTP POST request to the OpenAI API's audio translations endpoint. By the end of this tutorial, you'll have a web-based tool that can accurately transcribe spoken words in real-time, potentially saving hours of manual typing and opening up new possibilities In this step-by-step tutorial, learn how to transcribe speech into text using OpenAI's Whisper AI. Use Cases for OpenAI Whisper 6. 5 API , Quizlet is introducing Q-Chat, a fully-adaptive AI tutor that engages students with adaptive questions based on relevant study materials delivered through a Jun 2, 2023 · I am trying to get Whisper to tag a dialogue where there is more than one person speaking. Feb 3, 2025 · The Transcription API is a powerful tool that allows you to transcribe audio files into text using the Whisper model. js and ONNX Runtime Web, allowing all computations to be performed locally on your device without the need for server-side processing. Multilingual support Whisper handles different languages without specific language models thanks to its extensive training on diverse datasets. Next, type in openai-whisper, and then hit enter. Assuming you are using these files (or a file with the same name): Open the Whisper_Tutorial in Colab. WAV" # specify the path to the output transcript file output_file = "H:\\path\\transcript. There are three main ways: 1. I hope it can be useful for many of you! What does it do? Splits a Long Video: The script takes a long video file and splits it into 5-minute mp3 segments. Once your environment is set up, you can use the command line to Nov 13, 2023 · Deploying OpenAI Whisper Locally. Oct 25, 2022 · We experimented with jointly training the decoder to work as a language model, and <|startoflm|> served as a start-of-text token for those training examples (where it'd skip the cross-attention and work like a GPT-2), but we ended up not using the setup after seeing no significant improvement over just using the ASR data. Whisper is available through OpenAI's GitHub repository. Prerequisites Oct 13, 2023 · You don’t need to signup with OpenAI or pay anything to use Whisper. init() device = "cuda" # if torch. Any idea of a prompt to guide Whisper to “tag” who is speaking and provide an answer along that rule. To install Homebrew, go to https://brew. So grab an ice water and chill out for a little bit. You signed out in another tab or window. Feb 11, 2025 · Deepgram's Whisper API Endpoint. en models. Whisper is developed by OpenAI and open source, and can handle transcription in seconds with a GPU. OpenAI's Whisper is a remarkable Automatic Speech Recognition (ASR) system, and you can harness its power in a Node. pip install -U openai-whisper; Specify GPU Device in Command: When running the Whisper command, specify the --device cuda option. We observed that the difference becomes less significant for the small. Whisper is designed to convert spoken language into written text efficiently. To get started, you need to provide an audio file in one of the supported formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. Our OpenAI Whisper API endpoint is easy to work with on the command-line - you can use curl to quickly send audio to our API. sh/ and follow the instructions. Once the recording is stopped, the app will transcribe the audio using OpenAI’s Whisper API and print the transcription to the console. Nov 2, 2024 · As it turned out, I decided to dive into a different kind of challenge: experimenting with OpenAI’s Whisper Large V3 model for real-time audio transcription. Future Prospects of OpenAI Whisper 8. ; Enable the GPU (Runtime > Change runtime type > Hardware accelerator > GPU). How Accurate Is Whisper AI? OpenAI states that Whisper approaches the human-level robustness and accuracy of English speech recognition. That way, if for whatever reason you already have Whisper on your computer, that will upgrade it to the latest version. We use the Whisper turbo backbone of WhisperX. This directs the model to utilize the GPU for processing. How does OpenAI Whisper work? 3. OPENAI_API_HOST: The API host endpoint for the Azure OpenAI Service. Now, you can install Whisper along with its dependencies. en and medium. Install OpenAI Whisper using PIP Step 2. The application transcribes audio from a meeting, provides a summary of the discussion, extracts key points and action items, and performs a sentiment analysis. You can choose larger variants depending on your system. Feb 2, 2024 · This code snippet demonstrates how to transcribe audio from a given URL using Whisper. OPENAI_API_VERSION: The version of the Azure OpenAI Service API. Whisper Sample Code Mar 5, 2025 · Ways to Use OpenAI Whisper. Jan 30, 2024 · I have create a Python script that automates the process of generating subtitles for long video. Choose one of the supported API types: 'azure', 'azure_ad', 'open_ai'. Apr 12, 2024 · With the release of Whisper in September 2022, it is now possible to run audio-to-text models locally on your devices, powered by either a CPU or a GPU. Learn more about building AI applications with LangChain in our Building Multimodal AI Applications with LangChain & the OpenAI API AI Code Along where you'll discover how to transcribe YouTube video content with the Whisper speech A step-by-step look into how to use Whisper AI from start to finish. Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. This section will delve into the specifics of using the Whisper API for audio transcription, focusing on practical implementation and best practices. Jun 21, 2023 · Option 2: Download all the necessary files from here OPENAI-Whisper-20230314 Offline Install Package; Copy the files to your OFFLINE machine and open a command prompt in that folder where you put the files, and run pip install openai-whisper-20230314. So I'll do whisper. The large-v3 model is the one used in this article (source: openai/whisper-large-v3). For example: Dec 14, 2022 · Open-sourced by OpenAI, the Whisper models are considered to have approached human-level robustness and accuracy in English speech recognition. It is also recommended to set up a virtual environment to manage your dependencies effectively. cuda Feb 19, 2025 · pip install -U openai-whisper; Mac installation: Skip the CUDA instructions above. Sep 6, 2024 · To install it, type in pip install, and here I'll type in a dash u. To use Whisper, you need to install it along with its dependencies. cpp is, its main features, and how it can be used to bring speech recognition into applications such as voice assistants or real-time transcription systems. The program is capable of many languages. Dec 5, 2023 · Hello OpenAI community! I’m working on a project using NodeJS to interact with the OpenAI API for audio transcriptions using the Whisper model. We will also fetch the timestamps of the transcripts. Feb 16, 2024 · We are using openai whisper tiny version. The prompt is intended to help stitch together multiple audio segments. In this tutorial, we will be running Whisper with the OpenVINO GenAI API on Windows. js application to transcribe spoken language into text. Jan 8, 2025 · The Whisper API provides a powerful solution for converting audio into text, utilizing advanced machine learning models. Use the following command: conda install -c conda-forge openai-whisper This command installs the Whisper package from the conda-forge channel, ensuring you have the latest version Jan 29, 2025 · Speaker 1: How to use OpenAI's Whisper model to transcribe any audio file? Step 1. In this brief guide, I will show you how Mar 11, 2024 · How to use OpenAI API for Whisper in Python? Step 1: Install Openai library in Python environment. How does OpenAI Whisper work? OpenAI Whisper is a tool created by OpenAI that can understand and transcribe spoken language, much like how Siri or Alexa works. Generates Subtitles: Each mp3 segment is then processed using the OpenAI Whisper-1 API to generate accurate subtitles. true. This will now go through and install WhisperAI. How to Implement OpenAI Whisper in Your Project 5. Since WhisperX utilizes Faster-Whisper as a backbone, some parts of the codes are shared. Regarding your anticipation to use Next. 3. And then I have logging, YouTube MP3. Sep 8, 2024 · OpenAI Whisper is a powerful tool that can bring many advantages to your projects, regardless of size or scope. And now we need to install Whisper. Docs say whisper-1 is only available now. To begin, you need to pass the audio file into the audio API provided by OpenAI. Install Whisper as an editable package. The API is designed to be user-friendly and comes with the comprehensive documentation that provides step-by-step instructions on how to use it. Install Python 3. So we're gonna download the OpenAI Whisper package into our Python environment and run it. This weekend project quickly evolved as I combined Hugging Face Transformers with SpeechRecognition in Python, aiming to see just how well Whisper could handle continuous, real-time Mar 7, 2025 · For more detailed information on using Whisper, refer to the official OpenAI Whisper documentation. Nov 13, 2024 · beam_size is used for beam search on decoding. Jun 22, 2024 · That simply cannot be achieved. Download audio files for transcription and translation. Instale FFmpeg do site oficial do FFmpeg. Dec 28, 2024 · Learn how to seamlessly install and configure OpenAI’s Whisper on Ubuntu for automatic audio transcription and translation. Mar 27, 2024 · Using GPU to run your OpenAI Whisper model. Apr 25, 2023 · We are using the well known librispeech which contains pairs of audio data with corresponding transcriptions. Use these 5 lines of code You can now transcribe any audio for free Dec 22, 2024 · Enter Whisper. If you haven’t done this yet, follow the steps above. Jan 17, 2025 · In this tutorial, we'll harness the power of OpenAI's Whisper and GPT-4 models to develop an automated meeting minutes generator. Instale o Whisper como um pacote editável. en and base. And this is the command right here, so you do whisper. Instale Git do site oficial do Git. Feb 3, 2023 · In this article, we’ll show you how to automatically transcribe audio files for free, using OpenAI’s Whisper. Apr 24, 2024 · Quizlet has worked with OpenAI for the last three years, leveraging GPT‑3 across multiple use cases, including vocabulary learning and practice tests. . Mar 6, 2024 · Hello, I am using open-source Whisper with the large-v3 model. And then we'll do model, tiny. Reload to refresh your session. Clone o repositório Whisper usando Git. Mar 27, 2024 · Speech recognition technology is changing fast. May 4, 2023 · Use whisper. With the recent release of Whisper V3, OpenAI once again stands out as a beacon of innovation and efficiency. Make sure that FFmpeg is installed correctly Step 3. 12 for Mac and PyTorch using the same links as above. js. Here is WAV, which doesn’t need to wait on a codec, showing the timing of http chunks started after sending the API request, for the phrase Feb 11, 2025 · 2. Once you have an API key, you can use it to make Oct 4, 2024 · Hello, I would like to use whisper large-v3-turbo , or turbo for short model. OpenAI Whisper is designed for ease of use, making it accessible for various tasks. This article will try to walk you through all the steps to transform long pieces of audio into textual information with OpenAI’s Whisper using the HugginFaces Transformers frameworks. This Aug 7, 2023 · In this article, we will guide you through the process of using OpenAI Whisper online with the convenient WhisperUI tool. log_mel_spectrogram() to convert the audio to a log-Mel spectrogram and move it to the same device as the model. The code for Whisper models is available as a GitHub repository. This large and diverse dataset leads to improved robustness to accents, background noise and technical language. Dec 8, 2024 · Whisper by OpenAI is a cutting-edge, open-source speech recognition model designed to handle multilingual transcription and translation tasks. My whisper prompt is now as follows: audio_file = open(f"{sound_file}", “rb”) prompt = ‘If more than one person, then use html line breaks to separate them in your answer’ transcript = get A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. Step 1: Download the OpenVINO GenAI Sample Code. By submitting the prior segment's transcript via the prompt, the Whisper model can use that context to better understand the speech and maintain a consistent writing style. Limitations and Considerations of OpenAI Whisper 7. You basically need to follow OpenAI's instructions on the Github repository of the Whisper project. js application that records and transcribes audio using OpenAI’s Whisper Speech-to-Text API. cuda. And to install it, we type in pip install-u OpenAI Whisper. Feb 16, 2023 · How to use Whisper. 7. If you are using your own audio and need to convert it into a file format recognised by Whisper, we would suggest using an free application such as Veed's free audio convertor. In this post, we will take a closer look at what Whisper. Jan 29, 2025 · Speaker 1: OpenAI just open-sourced Whisper, a model to convert speech to text, and the best part is you can run it yourself on your computer using the GitHub repository. Nov 20, 2024 · Para acessar o Whisper AI da OpenAI para reconhecimento de fala, siga estas etapas: Instale Python do site oficial. You switched accounts on another tab or window. Whisper by OpenAI is a cutting-edge, open-source speech recognition model designed to handle multilingual transcription and Install Whisper with GPU Support: Install the Whisper package using pip. Accessing WhisperUI: A Step-By-Step Guide WhisperUI is a powerful tool that provides users with online access to OpenAI Whisper, enabling them to leverage its advanced capabilities for text-to-speech synthesis. Whisper AI is an AI speech recognition system that can tra Jan 17, 2025 · I am working with Whisper for speech-to-text transcription on an M2 Mac, and I'd like to utilize the GPU for faster processing instead of relying solely on the CPU. en models for English-only applications tend to perform better, especially for the tiny. Oct 10, 2024 · Today, I’ll guide you through how I developed a transcription and summarization tool using OpenAI’s Whisper model, making use of Python to streamline the process. So I found Openai Realtime API which might be a good option, I just don’t know if allows Speech-to-Text functionality, does anyone know? Jan 3, 2024 · For some audios, it uses Punctuations quite good, but for some, it sometimes does not use Punctuations for a long long sentence, especially for some cases it should use period to end this sentence, it did not. New ChatGPT and Whisper APIs from OpenAI; OpenAI API for Beginners: Your Easy-to-Follow Starter Guide; Exploring the OpenAI API with Python; Free ChatGPT Course: Use The OpenAI API to Code 5 Projects; Fine-Tuning OpenAI Language Models with Noisily Labeled Data; Best Practices to Use OpenAI GPT Model Jan 25, 2025 · I would like to create an app that does (near) realtime Speech-to-Text, so I would like to use Whisper for that. zip (note the date may have changed if you used Option 1 above). With its robust architecture, Whisper offers high Sep 21, 2022 · Learn how to install and run Whisper, an automatic speech recognition system that can transcribe and translate multiple languages, on Google Colab. I would like to switch to OpenAI API, but found it only support v2 and I don’t know the name of the underlying model. Sep 21, 2022 · Other existing approaches frequently use smaller, more closely paired audio-text training datasets, 1 2, 3 or use broad but unsupervised audio pretraining. And then make sure, if you're using an environment, make sure you have your environment where you have Whisper installed, make sure you're activated in that environment. detect_language(). This can be done using venv or conda. You’ll learn how to save these transcriptions as a plain text file, as captions with time code data (aka as an SRT or VTT file), and even as a TSV or JSON file. Any chance for availability of turbo model over the official OpenAI API anytime soon? Nov 24, 2023 · For my project, I am looking to process a dataset of Chinese audio clips, each containing a single word, and I would like to use Whisper to perform initial feature extraction. Nov 7, 2023 · Whisper employs a two-step process when processing audio input. So all released models Mar 28, 2023 · Press Ctrl+C to stop the recording. OPENAI_API_KEY: The API key for the Azure OpenAI Service. Mar 7, 2025 · The process of transcribing audio using OpenAI's Whisper model is straightforward and efficient. Getting the Whisper tool working on your machine may require some fiddly work with dependencies - especially for Torch and any existing software running your GPU. Designed as a general-purpose speech recognition model, Whisper V3 heralds a new era in transcribing audio with its unparalleled accuracy in over 90 languages. Using the whisper Python lib This solution is the simplest one. I want use IronPython for use python in c# because I can't use Whisper in C#. Could you provide guidance on how this might be achieved, or suggest alternative methods if Whisper isn't suited for this type of feature extraction? Nov 18, 2024 · OpenAI Whisper and its derivatives like MacWhisper, WhisperDesktop, and whisperX can conveniently and quickly convert videos or audio files into transcripts. The largest Whisper models work amazingly in 57 major languages, better than most human-written subtitles you'll find on Netflix (which often don't match the audio), and better than YouTube's auto-subtitles too. WhisperX. I asked GPT-4 how to make it use Punctuations more correct, there are 2 ways: Use initial prompt, I tried, but failed. Jun 27, 2023 · OpenAI's audio transcription API has an optional parameter called prompt. Here is how. Mar 13, 2024 · Table 1: Whisper models, parameter sizes, and languages available. This quickstart explains how to use the Azure OpenAI Whisper model for speech to text conversion. Mar 5, 2024 · Transforming audio into text is now simpler and more accurate, thanks to OpenAI’s Whisper. I'm aware that the M2 chip supports GPU acceleration through the Metal API, but I'm unsure how to configure whisper to leverage the GPU. Jan 25, 2025 · I would like to create an app that does realtime (or near realtime) Speech-to-Text. Mar 10, 2025 · To create an automated meeting minutes generator using OpenAI's Whisper and GPT-4, we begin by transcribing the audio from the meeting. By running this script with Python, you’ll see the transcription of your specified audio file printed to the console. All right, perfect. cpp: an optimized C/C++ version of OpenAI’s model, Whisper, designed for fast, cross-platform performance. Then load the audio file you want to convert. Mar 3, 2024 · This script showcases a straightforward way to use OpenAI Whisper for transcribing audio files. Below are the steps to install OpenAI Whisper using Anaconda: Step 1: Set Up Anaconda Environment May 12, 2024 · What is Whisper API? OpenAI’s Whisper API is a tool that allows developers to convert spoken language into written text. Feb 10, 2025 · The OpenAI Whisper model comes with the range of the features that make it stand out in automatic speech recognition and speech-to-text translation. To detect the spoken language, use whisper. 1 Like stoictalks November 2, 2023, 10:52am Feb 9, 2025 · The OpenAI Audio API offers powerful capabilities for converting audio into text through its two primary endpoints: transcriptions and translations. It also leverages Hugging Face’s Transformers. Install FFmpeg from FFmpeg's official site. 13 votes, 27 comments. In 5 days ago · To install OpenAI Whisper, you first need to ensure that you have Python 3. Merges Subtitles Oct 6, 2022 · OpenAI Whisper tutorial: How to use Whisper to transcribe a YouTube video. // Import the OpenAI class from the SDK use Oct 8, 2023 · OPENAI_API_TYPE: The type of API for the Azure OpenAI Service. In this article. Oct 13, 2024 · This project utilizes OpenAI’s Whisper model and runs entirely on your device using WebGPU. Benefits of using OpenAI Whisper 4. Congratulations. The Micro Machines example was transcribed with Whisper on both CPU and GPU at each model size, and the inference times are reported below. Initially, it divides the input into 30-second segments. Install Git from the official Git website. Apr 11, 2023 · I am using php to connect to the whisper interface of openai, but according to the document, I keep reporting errors. Jan 29, 2025 · And now we need to install the Rust setup tools. In Jan 30, 2023 · Despite this, OpenAI offers extensive documentation and support for Whisper, which makes it easy for users to get started and use the technology effectively. I tested with ‘raw’ Whisper but the delay to return the response was quite large, I’d like to have a guidance what is the best way of doing that, some tutorials that I tried I got a lot of errors. With the launch of GPT‑3. OpenAI's Whisper is the latest deep-learning speech recognition technology. Let's explore both solutions. Jan 11, 2025 · This tutorial walks you through creating a Speech-to-Text (STT) application using OpenAI’s Whisper model and Next. These endpoints utilize the advanced Whisper model, which is designed to handle a variety of audio inputs effectively. To access OpenAI's Whisper AI for speech recognition, follow these steps: Install Python from the official website. So far, everything has been going quite well, but I have a specific question. Install the package manager Homebrew and then install FFMPEG using Homebrew. Whisper is an automatic speech recognition system from OpenAI with encoder-decoder transformer architecture. While using Hugging Face provides a convenient way to access OpenAI Whisper, deploying it locally allows for more control over the model and its integration into Nov 20, 2024 · How to Access Whisper AI. Mar 18, 2023 · import whisper import soundfile as sf import torch # specify the path to the input audio file input_file = "H:\\path\\3minfile. This guide covers a custom installation script, converting MP4 to MP3, and using Whisper’s Python API for accurate multilingual text generation. Here are some of the benefits: High Accuracy: OpenAI Whisper boasts that its language model has undergone extensive training using 680,000 hours of multilingual data. This kind of tool is often referred to as an automatic speech recognition (ASR) system. Learn to install Whisper into your Windows device and transcribe a voice file. zydmix ifpdag uasqu ilq ohtm qkqpy bvh kveqt cqt mzqlm sgab gbsxwq axoqjuy hcdfv espvl