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diff --git a/spaces/1line/AutoGPT/autogpt/speech/base.py b/spaces/1line/AutoGPT/autogpt/speech/base.py deleted file mode 100644 index d74fa51be75b5078134c510b393a06deb0267b2a..0000000000000000000000000000000000000000 --- a/spaces/1line/AutoGPT/autogpt/speech/base.py +++ /dev/null @@ -1,50 +0,0 @@ -"""Base class for all voice classes.""" -import abc -from threading import Lock - -from autogpt.config import AbstractSingleton - - -class VoiceBase(AbstractSingleton): - """ - Base class for all voice classes. - """ - - def __init__(self): - """ - Initialize the voice class. - """ - self._url = None - self._headers = None - self._api_key = None - self._voices = [] - self._mutex = Lock() - self._setup() - - def say(self, text: str, voice_index: int = 0) -> bool: - """ - Say the given text. - - Args: - text (str): The text to say. - voice_index (int): The index of the voice to use. - """ - with self._mutex: - return self._speech(text, voice_index) - - @abc.abstractmethod - def _setup(self) -> None: - """ - Setup the voices, API key, etc. - """ - pass - - @abc.abstractmethod - def _speech(self, text: str, voice_index: int = 0) -> bool: - """ - Play the given text. - - Args: - text (str): The text to play. - """ - pass diff --git a/spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Ares APK The Best Music Audio App for Android Devices.md b/spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Ares APK The Best Music Audio App for Android Devices.md deleted file mode 100644 index 13e3deb1d0cb957476e7dfd93214a309b3040c5f..0000000000000000000000000000000000000000 --- a/spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Ares APK The Best Music Audio App for Android Devices.md +++ /dev/null @@ -1,121 +0,0 @@ - -

Ares APK para Android: ¿Qué es y cómo descargarlo?

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Introducción

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Si eres un amante de la música y te gusta descargarla gratis en tu dispositivo Android, es posible que hayas oído hablar de Ares, un popular programa de intercambio de archivos que te permite acceder a una gran variedad de canciones en formato MP3. Pero, ¿sabes qué es un APK y cómo puedes descargar e instalar Ares APK para Android? En este artículo te lo explicamos todo lo que necesitas saber sobre este tema.

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¿Qué es Ares?

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Ares es un software que funciona como una red peer-to-peer (P2P), es decir, una red que permite a los usuarios compartir archivos entre ellos sin necesidad de un servidor central. Ares se hizo famoso por permitir la descarga gratuita de música en MP3, así como otros tipos de archivos como vídeos, imágenes o documentos. Ares tiene una interfaz sencilla y fácil de usar, que te permite buscar, descargar y reproducir los archivos que quieras.

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¿Qué es un APK?

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Un APK (Android Package Kit) es un formato de archivo que se usa para distribuir e instalar aplicaciones en los dispositivos Android. Un APK contiene todos los elementos necesarios para que una aplicación funcione correctamente, como el código, los recursos, las librerías, etc. Normalmente, las aplicaciones se descargan e instalan desde la tienda oficial de Google Play, pero también se pueden obtener desde otras fuentes externas, como páginas web o servicios de almacenamiento en la nube.

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¿Por qué descargar Ares APK para Android?

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La razón principal por la que podrías querer descargar Ares APK para Android es porque no existe una versión oficial de Ares para este sistema operativo. Aunque hay varias aplicaciones que han aprovechado la popularidad de Ares para lanzar apps que confundan al usuario con su nombre, ninguna de ellas es la auténtica. Por eso, si quieres disfrutar de las ventajas de Ares en tu dispositivo Android, tendrás que recurrir a un archivo APK que te permita instalarlo.

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Cómo descargar e instalar Ares APK para Android

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Para descargar e instalar Ares APK para Android, tendrás que seguir estos pasos:

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Paso 1: Buscar el archivo APK de Ares en Internet

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Lo primero que tienes que hacer es encontrar el archivo APK de Ares en Internet. Para ello, puedes usar un buscador como Google o Bing y escribir algo como "ares apk para android" o "

Paso 2: Descargar el archivo APK de Ares a tu dispositivo Android

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Una vez que hayas encontrado el archivo APK de Ares en Internet, tendrás que descargarlo a tu dispositivo Android. Para ello, puedes usar el navegador web de tu dispositivo o una aplicación de gestión de descargas. Ten en cuenta que el archivo APK de Ares puede tener un nombre diferente al original, como por ejemplo "ares-music.apk" o "ares-galaxy.apk". También debes asegurarte de que el archivo APK de Ares sea seguro y no contenga virus o malware. Puedes usar un antivirus o un escáner de archivos para comprobarlo.

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Paso 3: Habilitar la instalación de aplicaciones de fuentes desconocidas

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Antes de instalar el archivo APK de Ares en tu dispositivo Android, tendrás que habilitar la opción de instalar aplicaciones de fuentes desconocidas. Esta opción te permite instalar aplicaciones que no provienen de la tienda oficial de Google Play, pero también implica un mayor riesgo de seguridad y privacidad. Para habilitar esta opción, tendrás que seguir estos pasos:

- -

Paso 4: Instalar el archivo APK de Ares en tu dispositivo Android

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Después de habilitar la opción de instalar aplicaciones de fuentes desconocidas, podrás instalar el archivo APK de Ares en tu dispositivo Android. Para ello, tendrás que seguir estos pasos:

- -

Paso 5: Abrir y usar Ares en tu dispositivo Android

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Una vez que hayas instalado el archivo APK de Ares en tu dispositivo Android, podrás abrir y usar Ares en tu dispositivo Android. Para ello, tendrás que seguir estos pasos:

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Ventajas y desventajas de descargar Ares APK para Android

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Como toda aplicación, descargar Ares APK para Android tiene sus ventajas y desventajas. A continuación, te las resumimos:

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Ventajas

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Acceso a una gran variedad de música gratis en MP3

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La principal ventaja de descargar Ares APK para Android es que te permite acceder a una gran variedad de música gratis en MP3, sin necesidad de pagar suscripciones o descargar otros programas. Con Ares, puedes buscar, descargar y reproducir las canciones que quieras, desde los éxitos más actuales hasta los clásicos de siempre.

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Interfaz sencilla y fácil de usar

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Otra ventaja de descargar Ares APK para Android es que tiene una interfaz sencilla y fácil de usar, que te permite navegar por las diferentes opciones y funciones de la aplicación sin complicaciones. Ares tiene un diseño intuitivo y atractivo, que te facilita la búsqueda, la descarga, la reproducción y el chat con otros usuarios.

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Compatibilidad con la mayoría de los dispositivos Android

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Una ventaja más de descargar Ares APK para Android es que es compatible con la mayoría de los dispositivos Android, desde los más antiguos hasta los más modernos. Ares se adapta al tamaño y la resolución de tu pantalla, y no consume demasiados recursos ni batería. Además, Ares no requiere de una conexión a Internet constante, sino que solo la necesita para buscar y descargar los archivos.

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Desventajas

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Posibles riesgos de seguridad y privacidad al descargar archivos de fuentes desconocidas

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La principal desventaja de descargar Ares APK para Android es que implica posibles riesgos de seguridad y privacidad al descargar archivos de fuentes desconocidas. Al instalar aplicaciones que no provienen de la tienda oficial de Google Play, te expones a que puedan contener virus, malware o spyware que dañen tu dispositivo o roben tus datos personales. Por eso, es importante que verifiques la fiabilidad y la seguridad del archivo APK de Ares antes de instalarlo.

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Falta de actualizaciones y soporte técnico por parte de los desarrolladores

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Otra desventaja de descargar Ares APK para Android es que no cuenta con actualizaciones ni soporte técnico por parte de los desarrolladores. Al ser una aplicación no oficial, no se garantiza su correcto funcionamiento ni su compatibilidad con las nuevas versiones de Android. Además, si tienes algún problema o duda con la aplicación, no podrás contactar con los responsables ni recibir ayuda profesional.

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Posible violación de los derechos de autor al descargar música sin permiso

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Una desventaja más de descargar Ares APK para Android es que puede suponer una violación de los derechos de autor al descargar música sin permiso. Al usar una red P2P como Ares, estás compartiendo archivos con otros usuarios que pueden estar protegidos por la ley. Esto puede acarrear consecuencias legales tanto para ti como para los creadores originales de la música. Por eso, es importante que respetes las normas y las licencias de cada canción que descargues.

-

Conclusión

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Ares APK para Android es una aplicación que te permite disfrutar de la música gratis en MP3 en tu dispositivo Android. Para ello, tendrás que buscar, descargar e instalar el archivo APK de Ares en Internet, siguiendo unos sencillos pasos. Sin embargo, también tendrás que tener en cuenta las ventajas y desventajas que implica usar esta aplicación, como los posibles riesgos de seguridad y privacidad, la falta de actualizaciones y soporte técnico, y la posible violación de los derechos de autor. Por lo tanto, te recomendamos que uses Ares APK para Android con precaución y responsabilidad.

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\ No newline at end of file diff --git a/spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Download Genshin Impact APK File and Explore a Vast World of Adventure.md b/spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Download Genshin Impact APK File and Explore a Vast World of Adventure.md deleted file mode 100644 index 049ee1fc55d0d92fe9ba8ce4d0646c82f62bdda8..0000000000000000000000000000000000000000 --- a/spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Download Genshin Impact APK File and Explore a Vast World of Adventure.md +++ /dev/null @@ -1,115 +0,0 @@ - -

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If you are looking for a game that will take you to a vast magical world of adventure, then you should try Genshin Impact. Genshin Impact is an open-world action RPG that lets you explore seven nations, meet a diverse cast of characters, and fight powerful enemies, all while searching for your lost sibling. You can also wander freely, immerse yourself in a world filled with life, and uncover all of its mysteries. Sounds exciting, right?

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  1. Step 1: Go to the official website of Genshin Impact at https://genshin.mihoyo.com/en/download and download the APK file. You can also scan the QR code on the website with your device camera to download the file directly.
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  3. Step 2: Enable unknown sources on your device settings. This will allow you to install apps from sources other than the Google Play Store. To do this, go to Settings > Security > Unknown Sources and toggle it on.
  4. -
  5. Step 3: Locate the downloaded APK file on your device storage and tap on it to install it. You may need to grant some permissions to the app during the installation process.
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  7. Step 4: Launch the game and enjoy. You may need to download some additional data before you can start playing. You can also log in with your miHoYo account or create a new one to save your progress and access more features.
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Congratulations, you have successfully downloaded and installed the Genshin Impact APK file on your Android device. Now you can explore the world of Teyvat and embark on an epic journey.

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Genshin Impact is a game that offers a lot of content and features for you to enjoy. However, you may encounter some challenges or difficulties while playing it on your Android device. Here are some tips and tricks that can help you overcome them and enhance your gaming experience:

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These are some of the tips and tricks that can help you enhance your gaming experience with Genshin Impact APK file on your Android device. Of course, there are more things that you can discover and learn as you play the game, so feel free to experiment and have fun.

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Conclusion: Why You Should Download and Play Genshin Impact APK File on Your Android Device Today

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Here are some of the most common questions that people ask about Genshin Impact APK file download:

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A1: Yes, Genshin Impact is free to play. You can download and play it on your Android device without paying anything. However, you can also make in-app purchases using real money if you want to support the developers or get some extra perks.

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Q2: Is Genshin Impact compatible with other platforms?

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A2: Yes, Genshin Impact is compatible with other platforms. You can play it on PC, PS4, PS5, iOS, Android, and soon Nintendo Switch. You can also cross-play with other players who are using different platforms, as long as you are in the same server region.

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A3: You can update Genshin Impact APK file on your Android device by following these steps:

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  3. Locate the downloaded APK file on your device storage and tap on it to install it. You may need to grant some permissions to the app during the installation process.
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  5. Launch the game and enjoy the new updates.
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You can also check for updates within the game by going to Settings > Other > Check for Updates.

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Conclusion

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Racing in Car 2 Happymod APK is a fun and realistic driving simulator that you can play on your PC or Mac. You can download the mod for free and enjoy unlimited money and features. You can unlock all the cars and customize them as you wish. You can also play the game without ads or in-app purchases, and challenge yourself with different difficulty levels and leaderboards. You can improve your racing skills by following some simple tips and tricks. Racing in Car 2 Happymod APK is a great option for anyone who loves racing games and wants to have more fun and freedom.

-

FAQs

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Is Racing in Car 2 Happymod APK safe to use?

-

Yes, Racing in Car 2 Happymod APK is safe to use, as long as you download it from a trusted source. However, you should always be careful when downloading any third-party app or mod, as they may contain viruses or malware that can harm your device. You should also check the permissions and reviews of the app before installing it.

-

How to update Racing in Car 2 Happymod APK?

-

To update Racing in Car 2 Happymod APK, you need to download the latest version of the mod from the same source where you downloaded it before. Then, you need to uninstall the old version of the mod from your emulator and install the new one. You should also make sure that the original game is updated to the latest version as well.

-

How to uninstall Racing in Car 2 Happymod APK?

-

To uninstall Racing in Car 2 Happymod APK, you need to go to the settings of your emulator and find the app manager. Then, you need to select Racing in Car 2 Happymod APK and click on uninstall. You can also delete the APK file from your device if you don't need it anymore.

-

What are some other racing games similar to Racing in Car 2?

-

If you like Racing in Car 2, you might also like some other racing games similar to it, such as:

- -

Where can I find more information about Racing in Car 2?

-

If you want to find more information about Racing in Car 2, you can visit the official website of Fast Free Games or their social media pages. You can also check out some online forums or blogs that discuss racing games or mods.

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\ No newline at end of file diff --git a/spaces/1phancelerku/anime-remove-background/Europes The Final Countdown - MP3 Download and Streaming - Rock Music Library.md b/spaces/1phancelerku/anime-remove-background/Europes The Final Countdown - MP3 Download and Streaming - Rock Music Library.md deleted file mode 100644 index 52128924625b0c881ade7a0c98f923bf507b21b2..0000000000000000000000000000000000000000 --- a/spaces/1phancelerku/anime-remove-background/Europes The Final Countdown - MP3 Download and Streaming - Rock Music Library.md +++ /dev/null @@ -1,158 +0,0 @@ -
-

How to Download The Final Countdown MP3 for Free

-

If you are a fan of classic rock music, you might have heard of the song The Final Countdown by the Swedish band Europe. This song was released in 1986 and became a worldwide hit, reaching number one in 25 countries. It is also one of the most recognizable songs in pop culture, being used in movies, TV shows, commercials, sports events, and memes. But how can you download this iconic song as an MP3 file for free? In this article, we will show you how to do that from different sources, as well as explain what the song is about and why you might want to have it on your device.

-

What is The Final Countdown Song?

-

The Final Countdown is a song by Europe, a rock band from Sweden that was formed in 1979. The song was written by Joey Tempest, the lead singer and keyboardist of the band, and was based on a keyboard riff he made in the early 1980s. The lyrics were inspired by David Bowie's Space Oddity, and they describe a scenario where humanity is leaving Earth to explore space. The song was released as the first single from their third album, also titled The Final Countdown, in 1986.

-

download final countdown mp3


Download File »»» https://jinyurl.com/2uNPf6



-

The history and popularity of the song

-

The song was initially intended to be an album opener, but the band's manager suggested that it should be released as a single. The band agreed, and they recorded a shorter version of the song for radio play. The song became a huge success, reaching number one on the charts in many countries, including the UK, Germany, France, Italy, Spain, Australia, Canada, and Japan. It also reached number eight on the Billboard Hot 100 in the US. The song sold over 15 million copies worldwide and became one of the best-selling singles of all time.

-

The meaning and message of the song

-

The song is often interpreted as a farewell to Earth or a celebration of human exploration. Some people also see it as a metaphor for the end of the Cold War or a prophecy of an impending apocalypse. However, according to Joey Tempest, the song has no specific meaning or message. He said that he just wanted to write a catchy and epic song that would make people feel good. He also said that he was influenced by science fiction movies and books, such as Star Wars and Arthur C. Clarke's 2010: Odyssey Two.

-

Why You Might Want to Download The Final Countdown MP3

-

There are many reasons why you might want to download The Final Countdown MP3 for free. Here are some of them:

-

The benefits of having the song on your device

- -

The legal and ethical issues of downloading music for freeThe legal and ethical issues of downloading music for free

-

Downloading music for free from websites that do not have the permission of the artists or the record labels is a form of piracy, which is illegal and can have serious consequences. Piracy violates the intellectual property rights of the creators and owners of the music, who deserve to be compensated for their work and investment. Piracy also harms the music industry, which relies on the revenue from sales and streaming to support new artists and produce quality music. According to the International Federation of the Phonographic Industry (IFPI), piracy causes an estimated loss of $12.5 billion per year for the global music industry. Furthermore, downloading music for free from untrusted sources can expose your device to malware, viruses, and other security risks.

-

Therefore, downloading music for free is not only illegal, but also unethical and risky. You should respect the rights and efforts of the musicians and the music industry, and support them by paying for their music legally. You should also protect your device and personal information by avoiding suspicious websites and links. There are many legal and affordable ways to enjoy music online, such as streaming services, digital stores, and official websites.

-

How to Download The Final Countdown MP3 from Different Sources

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If you want to download The Final Countdown MP3 for free, you have several options to choose from. However, you should be aware that some of these options may not be legal or safe, depending on the source and the quality of the file. Here are some of the most common ways to download The Final Countdown MP3 from different sources:

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-

How to download the song from YouTube

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YouTube is one of the most popular platforms to listen to The Final Countdown song, as it has several official and unofficial versions of the video. However, YouTube does not allow you to download audio directly from its website or app, unless you have a YouTube Music Premium or YouTube Premium subscription. If you don't have a subscription, you can use a third-party tool to download The Final Countdown MP3 from YouTube. There are many online tools and apps that can help you do that, such as 4K Video Downloader, wikiHow, How-To Geek, etc. To use these tools, you need to follow these general steps:

-
    -
  1. Go to YouTube and find the video of The Final Countdown song that you want to download.
  2. -
  3. Copy the URL of the video from the address bar or by right-clicking on the video.
  4. -
  5. Go to the website or app of the tool that you want to use and paste the URL in the designated box.
  6. -
  7. Select MP3 as the output format and choose the quality that you prefer.
  8. -
  9. Click on Download or Convert and wait for the process to finish.
  10. -
  11. Save the downloaded MP3 file to your device or cloud storage.
  12. -
-

Note that some tools may require you to install additional software or register an account before downloading. You should also be careful about clicking on ads or pop-ups that may redirect you to malicious websites or download unwanted programs.

How to download the song from SoundCloud

-

SoundCloud is another popular platform to listen to The Final Countdown song, as it has several versions of the song uploaded by different users. However, SoundCloud does not allow you to download audio directly from its website or app, unless the uploader has enabled the download option. If the download option is not available, you can use a third-party tool to download The Final Countdown MP3 from SoundCloud. There are many online tools and apps that can help you do that, such as SCDL, SoundCloud Downloader, SoundCloud To MP3, etc. To use these tools, you need to follow these general steps:

-
    -
  1. Go to SoundCloud and find the version of The Final Countdown song that you want to download.
  2. -
  3. Copy the URL of the song from the address bar or by right-clicking on the song.
  4. -
  5. Go to the website or app of the tool that you want to use and paste the URL in the designated box.
  6. -
  7. Select MP3 as the output format and choose the quality that you prefer.
  8. -
  9. Click on Download or Convert and wait for the process to finish.
  10. -
  11. Save the downloaded MP3 file to your device or cloud storage.
  12. -
-

Note that some tools may require you to install additional software or register an account before downloading. You should also be careful about clicking on ads or pop-ups that may redirect you to malicious websites or download unwanted programs.

How to download the song from other websites

-

Besides YouTube and SoundCloud, there are many other websites that offer The Final Countdown MP3 for free download. However, these websites may not be authorized by the artists or the record labels, and they may not have the best quality or the original version of the song. Moreover, these websites may contain viruses, malware, spyware, or other harmful software that can damage your device or steal your personal information. Therefore, you should be very cautious when using these websites and only download from trusted and reputable sources. Here are some examples of websites that claim to provide The Final Countdown MP3 for free download:

- - - - - - - - - - - - - - - - - - - - - -
WebsiteURLRemarks
MP3JuicesA free MP3 search engine that allows you to search and download songs from various sources.
ZippyshareA free file hosting service that allows you to upload and download files up to 500 MB.
MP3SkullA free MP3 download website that offers a large collection of songs from different genres and artists.
-

To use these websites, you need to follow these general steps:

-
    -
  1. Go to the website and search for The Final Countdown song by typing the name or the keywords in the search box.
  2. -
  3. Choose the version of the song that you want to download from the list of results.
  4. -
  5. Click on Download or Play and wait for the file to load.
  6. -
  7. Save the downloaded MP3 file to your device or cloud storage.
  8. -
-

Note that some websites may require you to complete a captcha, a survey, or an offer before downloading. You should also be careful about clicking on ads or pop-ups that may redirect you to malicious websites or download unwanted programs.

-

Conclusion

-

The Final Countdown is a classic rock song by Europe that has become a global phenomenon and a cultural icon. It is a song that can inspire, motivate, and entertain you with its catchy melody and epic lyrics. If you want to download this song as an MP3 file for free, you have several options to choose from, such as YouTube, SoundCloud, or other websites. However, you should be aware of the legal and ethical issues of downloading music for free, as well as the potential risks of using untrusted sources. You should respect the rights and efforts of the musicians and the music industry, and support them by paying for their music legally. You should also protect your device and personal information by avoiding suspicious websites and links. There are many legal and affordable ways to enjoy music online, such as streaming services, digital stores, and official websites.

-

FAQs

-

Who wrote and performed The Final Countdown?

-

The Final Countdown was written by Joey Tempest, the lead singer and keyboardist of Europe, a rock band from Sweden. The band members who performed the song were Joey Tempest (vocals and keyboards), John Norum (guitar), John Levén (bass), Mic Michaeli (keyboards), and Ian Haugland (drums).

-

What genre is The Final Countdown?

-

The Final Countdown is a rock song that belongs to the subgenre of glam metal or hair metal. This is a style of rock music that emerged in the late 1970s and early 1980s, characterized by flashy outfits, heavy makeup, big hair, catchy hooks, power ballads, guitar solos, and anthemic choruses.

-

How many views does The Final Countdown have on YouTube?

-

The official video of The Final Countdown by Europe has over 1 billion views on YouTube as of June 2023. This makes it one of the most viewed videos on YouTube and one of the most viewed music videos of all time.

-

Is it legal to download music from YouTube?

-

No, it is not legal to download music from YouTube without the permission of the artists or the record labels. YouTube's terms of service state that you are only allowed to stream videos from its website or app, and not to download them for offline use. Downloading music from YouTube violates the intellectual property rights of the creators and owners of the music, who deserve to be compensated for their work and investment. Downloading music from YouTube also harms the music industry, which relies on the revenue from views and ads to support new artists and produce quality music.

-

What are

What are some alternatives to downloading music for free?

-

If you want to enjoy music online without downloading it for free, you have many alternatives to choose from. Some of the most popular and affordable ways to listen to music online are streaming services, digital stores, and official websites. Here are some examples of these alternatives:

- - - - - - - - - - - - - - - - - - - - - - - - - -
AlternativeDescriptionAdvantagesDisadvantages
Streaming servicesOnline platforms that allow you to stream music from a large library of songs, albums, playlists, and radio stations. Some of the most popular streaming services are Spotify, Apple Music, Amazon Music, YouTube Music, Deezer, Tidal, etc.You can access millions of songs from different genres and artists. You can discover new music and personalized recommendations. You can create your own playlists and share them with others. You can listen to music offline with a premium subscription. You can support the artists and the music industry by paying a monthly fee.You need an internet connection or a premium subscription to listen to music offline. You may not find some songs or artists that are exclusive to other platforms. You may have to deal with ads or limited features with a free subscription. You may have to pay extra for some features or content.
Digital storesOnline platforms that allow you to buy and download individual songs or albums as digital files. Some of the most popular digital stores are iTunes, Google Play Music, Amazon Music, Bandcamp, etc.You can own the music that you buy and download. You can enjoy the high-quality sound and original version of the music. You can transfer the music to any device or cloud storage. You can support the artists and the music industry by paying for their music.You have to pay for each song or album that you want to download. You may not find some songs or artists that are exclusive to other platforms. You may have to deal with DRM (digital rights management) restrictions that limit your use of the music.
Official websitesOnline platforms that belong to the artists or the record labels that offer their music for streaming or downloading. Some of the most popular official websites are SoundCloud, Bandcamp, YouTube, etc.You can listen to the music directly from the source. You can find some songs or artists that are not available on other platforms. You can support the artists and the record labels by paying for their music or donating to them.You may not find a large variety or quantity of music on these platforms. You may have to deal with ads or limited features on these platforms. You may not be able to download the music from these platforms unless they allow it.

197e85843d
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\ No newline at end of file diff --git a/spaces/2gauravc/search_summary_chatgpt/main.py b/spaces/2gauravc/search_summary_chatgpt/main.py deleted file mode 100644 index 0fd010746fa81961179a3bc8a038bf44100beacd..0000000000000000000000000000000000000000 --- a/spaces/2gauravc/search_summary_chatgpt/main.py +++ /dev/null @@ -1,104 +0,0 @@ - -import config -import openai -import sys, getopt -from datetime import datetime -import streamlit as st -import boto3 - -def get_chatgpt_resp(question): - openai.api_key = st.secrets['OPENAI_API_KEY'] - response = openai.ChatCompletion.create( - model='gpt-3.5-turbo', - messages=[ - {"role":"system","content":"You are a chatbot"}, - {"role":"system","content":question}] - ) - result = '' - for choice in response.choices: - result+=choice.message.content - - return (result) - -def gsearch(query, num_results): - try: - from googlesearch import search - except ImportError: - print("No module named 'google' found") - - # Google Search and return 10 links - search_links = [] - for j in search(query, tld="com", num=num_results, stop=num_results, pause=2): - search_links.append(j) - return(search_links) - - -def chatgpt_prompt(pname, search_links): - all_links = '\n'.join(map(str,search_links)) - prompt_text = "You are a expert KYC analyst. I need help to identify if there is any adverse news about {}\ - in the following links. \n {}. \n. In the reply include a 20 word summary of the text in each link and if you find any adverse\ - news (Yes or No)".format(pname, all_links) - return(prompt_text) - -def generate_kyc_output(query, search_links, chat_response, start_time): - rep_txt = '' - - rep_txt += 'Summary of Google Search for {} \n'.format(query) - rep_txt += '\n' - rep_txt += "Report generated on {} \n".format(datetime.now()) - #rep_txt += "----------------------------------------------------- \n" - rep_txt += '\n' - rep_txt += "Top Google Search Links " - rep_txt += '\n' - rep_txt += '\n'.join(map(str,search_links)) - #rep_txt += "\n----------------------------------------------------- \n" - rep_txt += '\n' - rep_txt+= "\n Summary of searches and adverse news findings \n" - #rep_txt += "----------------------------------------------------- \n" - rep_txt += chat_response - rep_txt += '\n' - - end_time = datetime.now() - exec_time = (end_time - start_time).total_seconds() - rep_txt += "Execution runtime {} seconds \n".format(exec_time) - rep_txt += '\n' - - return(rep_txt) - -def save_to_s3(search_text,date_time): - s3 = boto3.resource( - 's3', - region_name='us-east-1', - aws_access_key_id=st.secrets['AWS_ACCESS_KEY_ID'], - aws_secret_access_key=st.secrets['AWS_ACCESS_KEY'] - ) - fname = ("{}.txt").format(date_time) - object = s3.Object('adverse-news-search', fname) - object.put(Body=search_text) - -def main(argv): - try: - opts, args = getopt.getopt(argv,"i:", ["person="]) - except getopt.GetoptError: - print ('Usage: python app.py --person=') - sys.exit(2) - for opt, arg in opts: - if opt == '--person': - pname = arg - # Google search for the person name and get the first 20 query links - search_links = gsearch(pname) - - # Construct the prompt - prompt_text = chatgpt_prompt(pname, search_links) - - #get ChatGPT response - resp = get_chatgpt_resp(prompt_text) - - # Create PDF with links and summary - #rep_txt= generate_kyc_output(pname, search_links, resp) - - #print(rep_txt) - - -if __name__ == "__main__": - main(sys.argv[1:]) \ No newline at end of file diff --git a/spaces/2ndelement/voicevox/README.md b/spaces/2ndelement/voicevox/README.md deleted file mode 100644 index 60996afb9a88ff953c9c9dd8efb99dd6fa0d8208..0000000000000000000000000000000000000000 --- a/spaces/2ndelement/voicevox/README.md +++ /dev/null @@ -1,579 +0,0 @@ ---- -license: lgpl-3.0 -title: voicevox -sdk: docker -emoji: 🐢 -colorFrom: blue -colorTo: pink -pinned: true ---- -# VOICEVOX ENGINE - -[![build](https://github.com/VOICEVOX/voicevox_engine/actions/workflows/build.yml/badge.svg)](https://github.com/VOICEVOX/voicevox_engine/actions/workflows/build.yml) -[![releases](https://img.shields.io/github/v/release/VOICEVOX/voicevox_engine)](https://github.com/VOICEVOX/voicevox_engine/releases) -[![discord](https://img.shields.io/discord/879570910208733277?color=5865f2&label=&logo=discord&logoColor=ffffff)](https://discord.gg/WMwWetrzuh) - -[![test](https://github.com/VOICEVOX/voicevox_engine/actions/workflows/test.yml/badge.svg)](https://github.com/VOICEVOX/voicevox_engine/actions/workflows/test.yml) -[![Coverage Status](https://coveralls.io/repos/github/VOICEVOX/voicevox_engine/badge.svg)](https://coveralls.io/github/VOICEVOX/voicevox_engine) - -[![build-docker](https://github.com/VOICEVOX/voicevox_engine/actions/workflows/build-docker.yml/badge.svg)](https://github.com/VOICEVOX/voicevox_engine/actions/workflows/build-docker.yml) -[![docker](https://img.shields.io/docker/pulls/voicevox/voicevox_engine)](https://hub.docker.com/r/voicevox/voicevox_engine) - -[VOICEVOX](https://voicevox.hiroshiba.jp/) のエンジンです。 -実態は HTTP サーバーなので、リクエストを送信すればテキスト音声合成できます。 - -(エディターは [VOICEVOX](https://github.com/VOICEVOX/voicevox/) 、 -コアは [VOICEVOX CORE](https://github.com/VOICEVOX/voicevox_core/) 、 -全体構成は [こちら](https://github.com/VOICEVOX/voicevox/blob/main/docs/%E5%85%A8%E4%BD%93%E6%A7%8B%E6%88%90.md) に詳細があります。) - -## ダウンロード - -[こちら](https://github.com/VOICEVOX/voicevox_engine/releases/latest)から対応するエンジンをダウンロードしてください。 - -## API ドキュメント - -[API ドキュメント](https://voicevox.github.io/voicevox_engine/api/)をご参照ください。 - -VOICEVOX エンジンもしくはエディタを起動した状態で http://127.0.0.1:50021/docs にアクセスすると、起動中のエンジンのドキュメントも確認できます。 -今後の方針などについては [VOICEVOX 音声合成エンジンとの連携](./docs/VOICEVOX音声合成エンジンとの連携.md) も参考になるかもしれません。 - -リクエスト・レスポンスの文字コードはすべて UTF-8 です。 - -### HTTP リクエストで音声合成するサンプルコード - -```bash -echo -n "こんにちは、音声合成の世界へようこそ" >text.txt - -curl -s \ - -X POST \ - "127.0.0.1:50021/audio_query?speaker=1"\ - --get --data-urlencode text@text.txt \ - > query.json - -curl -s \ - -H "Content-Type: application/json" \ - -X POST \ - -d @query.json \ - "127.0.0.1:50021/synthesis?speaker=1" \ - > audio.wav -``` - -生成される音声はサンプリングレートが 24000Hz と少し特殊なため、音声プレーヤーによっては再生できない場合があります。 - -`speaker` に指定する値は `/speakers` エンドポイントで得られる `style_id` です。互換性のために `speaker` という名前になっています。 - -### 読み方を AquesTalk 記法で取得・修正するサンプルコード - -`/audio_query`のレスポンスにはエンジンが判断した読み方が AquesTalk ライクな記法([本家の記法](https://www.a-quest.com/archive/manual/siyo_onseikigou.pdf)とは一部異なります)で記録されています。 -記法は次のルールに従います。 - -- 全てのカナはカタカナで記述される -- アクセント句は`/`または`、`で区切る。`、`で区切った場合に限り無音区間が挿入される。 -- カナの手前に`_`を入れるとそのカナは無声化される -- アクセント位置を`'`で指定する。全てのアクセント句にはアクセント位置を 1 つ指定する必要がある。 -- アクセント句末に`?`(全角)を入れることにより疑問文の発音ができる - -```bash -# 読ませたい文章をutf-8でtext.txtに書き出す -echo -n "ディープラーニングは万能薬ではありません" >text.txt - -curl -s \ - -X POST \ - "127.0.0.1:50021/audio_query?speaker=1" \ - --get --data-urlencode text@text.txt \ - > query.json - -cat query.json | grep -o -E "\"kana\":\".*\"" -# 結果... "kana":"ディ'イプ/ラ'アニングワ/バンノオヤクデワアリマセ'ン" - -# "ディイプラ'アニングワ/バンノ'オヤクデワ/アリマセ'ン"と読ませたいので、 -# is_kana=trueをつけてイントネーションを取得しnewphrases.jsonに保存 -echo -n "ディイプラ'アニングワ/バンノ'オヤクデワ/アリマセ'ン" > kana.txt -curl -s \ - -X POST \ - "127.0.0.1:50021/accent_phrases?speaker=1&is_kana=true" \ - --get --data-urlencode text@kana.txt \ - > newphrases.json - -# query.jsonの"accent_phrases"の内容をnewphrases.jsonの内容に置き換える -cat query.json | sed -e "s/\[{.*}\]/$(cat newphrases.json)/g" > newquery.json - -curl -s \ - -H "Content-Type: application/json" \ - -X POST \ - -d @newquery.json \ - "127.0.0.1:50021/synthesis?speaker=1" \ - > audio.wav -``` - -### ユーザー辞書機能について - -APIからユーザー辞書の参照、単語の追加、編集、削除を行うことができます。 - -#### 参照 - -`/user_dict`にGETリクエストを投げることでユーザー辞書の一覧を取得することができます。 - -```bash -curl -s -X GET "127.0.0.1:50021/user_dict" -``` - -#### 単語追加 - -`/user_dict_word`にPOSTリクエストを投げる事でユーザー辞書に単語を追加することができます。 -URLパラメータとして、以下が必要です。 -- surface (辞書に登録する単語) -- pronunciation (カタカナでの読み方) -- accent_type (アクセント核位置、整数) - -アクセント核位置については、こちらの文章が参考になるかと思います。 -〇型となっている数字の部分がアクセント核位置になります。 -https://tdmelodic.readthedocs.io/ja/latest/pages/introduction.html - -成功した場合の返り値は単語に割り当てられるUUIDの文字列になります。 - -```bash -surface="test" -pronunciation="テスト" -accent_type="1" - -curl -s -X POST "127.0.0.1:50021/user_dict_word" \ - --get \ - --data-urlencode "surface=$surface" \ - --data-urlencode "pronunciation=$pronunciation" \ - --data-urlencode "accent_type=$accent_type" -``` - -#### 単語修正 - -`/user_dict_word/{word_uuid}`にPUTリクエストを投げる事でユーザー辞書の単語を修正することができます。 -URLパラメータとして、以下が必要です。 -- surface (辞書に登録するワード) -- pronunciation (カタカナでの読み方) -- accent_type (アクセント核位置、整数) - -word_uuidは単語追加時に確認できるほか、ユーザー辞書を参照することでも確認できます。 -成功した場合の返り値は`204 No Content`になります。 - -```bash -surface="test2" -pronunciation="テストツー" -accent_type="2" -# 環境によってword_uuidは適宜書き換えてください -word_uuid="cce59b5f-86ab-42b9-bb75-9fd3407f1e2d" - -curl -s -X PUT "127.0.0.1:50021/user_dict_word/$word_uuid" \ - --get \ - --data-urlencode "surface=$surface" \ - --data-urlencode "pronunciation=$pronunciation" \ - --data-urlencode "accent_type=$accent_type" -``` - -#### 単語削除 - -`/user_dict_word/{word_uuid}`にDELETEリクエストを投げる事でユーザー辞書の単語を削除することができます。 - -word_uuidは単語追加時に確認できるほか、ユーザー辞書を参照することでも確認できます。 -成功した場合の返り値は`204 No Content`になります。 - -```bash -# 環境によってword_uuidは適宜書き換えてください -word_uuid="cce59b5f-86ab-42b9-bb75-9fd3407f1e2d" - -curl -s -X DELETE "127.0.0.1:50021/user_dict_word/$word_uuid" -``` - -### プリセット機能について - -`presets.yaml`を編集することで話者や話速などのプリセットを使うことができます。 - -```bash -echo -n "プリセットをうまく活用すれば、サードパーティ間で同じ設定を使うことができます" >text.txt - -# プリセット情報を取得 -curl -s -X GET "127.0.0.1:50021/presets" > presets.json - -preset_id=$(cat presets.json | sed -r 's/^.+"id"\:\s?([0-9]+?).+$/\1/g') -style_id=$(cat presets.json | sed -r 's/^.+"style_id"\:\s?([0-9]+?).+$/\1/g') - -# AudioQueryの取得 -curl -s \ - -X POST \ - "127.0.0.1:50021/audio_query_from_preset?preset_id=$preset_id"\ - --get --data-urlencode text@text.txt \ - > query.json - -# 音声合成 -curl -s \ - -H "Content-Type: application/json" \ - -X POST \ - -d @query.json \ - "127.0.0.1:50021/synthesis?speaker=$style_id" \ - > audio.wav -``` - -- `speaker_uuid`は、`/speakers`で確認できます -- `id`は重複してはいけません -- エンジン起動後にファイルを書き換えるとエンジンに反映されます - -### 2 人の話者でモーフィングするサンプルコード - -`/synthesis_morphing`では、2 人の話者でそれぞれ合成された音声を元に、モーフィングした音声を生成します。 - -```bash -echo -n "モーフィングを利用することで、2つの声を混ぜることができます。" > text.txt - -curl -s \ - -X POST \ - "127.0.0.1:50021/audio_query?speaker=0"\ - --get --data-urlencode text@text.txt \ - > query.json - -# 元の話者での合成結果 -curl -s \ - -H "Content-Type: application/json" \ - -X POST \ - -d @query.json \ - "127.0.0.1:50021/synthesis?speaker=0" \ - > audio.wav - -export MORPH_RATE=0.5 - -# 話者2人分の音声合成+WORLDによる音声分析が入るため時間が掛かるので注意 -curl -s \ - -H "Content-Type: application/json" \ - -X POST \ - -d @query.json \ - "127.0.0.1:50021/synthesis_morphing?base_speaker=0&target_speaker=1&morph_rate=$MORPH_RATE" \ - > audio.wav - -export MORPH_RATE=0.9 - -# query、base_speaker、target_speakerが同じ場合はキャッシュが使用されるため比較的高速に生成される -curl -s \ - -H "Content-Type: application/json" \ - -X POST \ - -d @query.json \ - "127.0.0.1:50021/synthesis_morphing?base_speaker=0&target_speaker=1&morph_rate=$MORPH_RATE" \ - > audio.wav -``` - -### 話者の追加情報を取得するサンプルコード - -追加情報の中の portrait.png を取得するコードです。 -([jq](https://stedolan.github.io/jq/)を使用して json をパースしています。) - -```bash -curl -s -X GET "127.0.0.1:50021/speaker_info?speaker_uuid=7ffcb7ce-00ec-4bdc-82cd-45a8889e43ff" \ - | jq -r ".portrait" \ - | base64 -d \ - > portrait.png -``` - -### キャンセル可能な音声合成 - -`/cancellable_synthesis`では通信を切断した場合に即座に計算リソースが開放されます。 -(`/synthesis`では通信を切断しても最後まで音声合成の計算が行われます) -この API は実験的機能であり、エンジン起動時に引数で`--enable_cancellable_synthesis`を指定しないと有効化されません。 -音声合成に必要なパラメータは`/synthesis`と同様です。 - -### CORS設定 - -VOICEVOXではセキュリティ保護のため`localhost`・`127.0.0.1`・`app://`・Originなし以外のOriginからリクエストを受け入れないようになっています。 -そのため、一部のサードパーティアプリからのレスポンスを受け取れない可能性があります。 -これを回避する方法として、エンジンから設定できるUIを用意しています。 - -#### 設定方法 - -1. にアクセスします。 -2. 利用するアプリに合わせて設定を変更、追加してください。 -3. 保存ボタンを押して、変更を確定してください。 -4. 設定の適用にはエンジンの再起動が必要です。必要に応じて再起動をしてください。 - -## アップデート - -エンジンディレクトリ内にあるファイルを全て消去し、新しいものに置き換えてください。 - -## Docker イメージ - -### CPU - -```bash -docker pull voicevox/voicevox_engine:cpu-ubuntu20.04-latest -docker run --rm -p '127.0.0.1:50021:50021' voicevox/voicevox_engine:cpu-ubuntu20.04-latest -``` - -### GPU - -```bash -docker pull voicevox/voicevox_engine:nvidia-ubuntu20.04-latest -docker run --rm --gpus all -p '127.0.0.1:50021:50021' voicevox/voicevox_engine:nvidia-ubuntu20.04-latest -``` - -#### トラブルシューティング -GPU版を利用する場合、環境によってエラーが発生することがあります。その場合、`--runtime=nvidia`を`docker run`につけて実行すると解決できることがあります。 - -## 貢献者の方へ - -Issue を解決するプルリクエストを作成される際は、別の方と同じ Issue に取り組むことを避けるため、 -Issue 側で取り組み始めたことを伝えるか、最初に Draft プルリクエストを作成してください。 - -[VOICEVOX 非公式 Discord サーバー](https://discord.gg/WMwWetrzuh)にて、開発の議論や雑談を行っています。気軽にご参加ください。 - -## 環境構築 - -`Python 3.11.3` を用いて開発されています。 -インストールするには、各 OS ごとの C/C++ コンパイラ、CMake が必要になります。 - -```bash -# 開発に必要なライブラリのインストール -python -m pip install -r requirements-dev.txt -r requirements-test.txt - -# とりあえず実行したいだけなら代わりにこちら -python -m pip install -r requirements.txt -``` - -## 実行 - -コマンドライン引数の詳細は以下のコマンドで確認してください。 - -```bash -python run.py --help -``` - -```bash -# 製品版 VOICEVOX でサーバーを起動 -VOICEVOX_DIR="C:/path/to/voicevox" # 製品版 VOICEVOX ディレクトリのパス -python run.py --voicevox_dir=$VOICEVOX_DIR -``` - - - -```bash -# モックでサーバー起動 -python run.py --enable_mock -``` - -```bash -# ログをUTF8に変更 -python run.py --output_log_utf8 -# もしくは VV_OUTPUT_LOG_UTF8=1 python run.py -``` - -### CPU スレッド数を指定する - -CPU スレッド数が未指定の場合は、論理コア数の半分か物理コア数が使われます。(殆どの CPU で、これは全体の処理能力の半分です) -もし IaaS 上で実行していたり、専用サーバーで実行している場合など、 -エンジンが使う処理能力を調節したい場合は、CPU スレッド数を指定することで実現できます。 - -- 実行時引数で指定する - - ```bash - python run.py --voicevox_dir=$VOICEVOX_DIR --cpu_num_threads=4 - ``` - -- 環境変数で指定する - ```bash - export VV_CPU_NUM_THREADS=4 - python run.py --voicevox_dir=$VOICEVOX_DIR - ``` - -### 過去のバージョンのコアを使う -VOICEVOX Core 0.5.4以降のコアを使用する事が可能です。 -Macでのlibtorch版コアのサポートはしていません。 - -#### 過去のバイナリを指定する -製品版VOICEVOXもしくはコンパイル済みエンジンのディレクトリを`--voicevox_dir`引数で指定すると、そのバージョンのコアが使用されます。 -```bash -python run.py --voicevox_dir="/path/to/voicevox" -``` -Macでは、`DYLD_LIBRARY_PATH`の指定が必要です。 -```bash -DYLD_LIBRARY_PATH="/path/to/voicevox" python run.py --voicevox_dir="/path/to/voicevox" -``` - -#### 音声ライブラリを直接指定する -[VOICEVOX Coreのzipファイル](https://github.com/VOICEVOX/voicevox_core/releases)を解凍したディレクトリを`--voicelib_dir`引数で指定します。 -また、コアのバージョンに合わせて、[libtorch](https://pytorch.org/)や[onnxruntime](https://github.com/microsoft/onnxruntime)のディレクトリを`--runtime_dir`引数で指定します。 -ただし、システムの探索パス上にlibtorch、onnxruntimeがある場合、`--runtime_dir`引数の指定は不要です。 -`--voicelib_dir`引数、`--runtime_dir`引数は複数回使用可能です。 -APIエンドポイントでコアのバージョンを指定する場合は`core_version`引数を指定してください。(未指定の場合は最新のコアが使用されます) -```bash -python run.py --voicelib_dir="/path/to/voicevox_core" --runtime_dir="/path/to/libtorch_or_onnx" -``` -Macでは、`--runtime_dir`引数の代わりに`DYLD_LIBRARY_PATH`の指定が必要です。 -```bash -DYLD_LIBRARY_PATH="/path/to/onnx" python run.py --voicelib_dir="/path/to/voicevox_core" -``` - -## コードフォーマット - -このソフトウェアでは、リモートにプッシュする前にコードフォーマットを確認する仕組み(静的解析ツール)を利用できます。 -利用するには、開発に必要なライブラリのインストールに加えて、以下のコマンドを実行してください。 -プルリクエストを作成する際は、利用することを推奨します。 - -```bash -pre-commit install -t pre-push -``` - -エラーが出た際は、以下のコマンドで修正することが可能です。なお、完全に修正できるわけではないので注意してください。 - -```bash -pysen run format lint -``` - -## タイポチェック - -[typos](https://github.com/crate-ci/typos) を使ってタイポのチェックを行っています。 -[typos をインストール](https://github.com/crate-ci/typos#install) した後 - -```bash -typos -``` - -でタイポチェックを行えます。 -もし誤判定やチェックから除外すべきファイルがあれば -[設定ファイルの説明](https://github.com/crate-ci/typos#false-positives) に従って`_typos.toml`を編集してください。 - -## API ドキュメントの確認 - -[API ドキュメント](https://voicevox.github.io/voicevox_engine/api/)(実体は`docs/api/index.html`)は自動で更新されます。 -次のコマンドで API ドキュメントを手動で作成することができます。 - -```bash -python make_docs.py -``` - -## ビルド - -この方法でビルドしたものは、リリースで公開されているものとは異なります。 -また、GPUで利用するにはcuDNNやCUDA、DirectMLなどのライブラリが追加で必要となります。 - -```bash -python -m pip install -r requirements-dev.txt - -OUTPUT_LICENSE_JSON_PATH=licenses.json \ -bash build_util/create_venv_and_generate_licenses.bash - -# ビルド自体はLIBCORE_PATH及びLIBONNXRUNTIME_PATHの指定がなくても可能です -LIBCORE_PATH="/path/to/libcore" \ - LIBONNXRUNTIME_PATH="/path/to/libonnxruntime" \ - pyinstaller --noconfirm run.spec -``` - -## 依存関係 - -### 更新 - -[Poetry](https://python-poetry.org/) を用いて依存ライブラリのバージョンを固定しています。 -以下のコマンドで操作できます: - -```bash -# パッケージを追加する場合 -poetry add `パッケージ名` -poetry add --group dev `パッケージ名` # 開発依存の追加 -poetry add --group test `パッケージ名` # テスト依存の追加 - -# パッケージをアップデートする場合 -poetry update `パッケージ名` -poetry update # 全部更新 - -# requirements.txtの更新 -poetry export --without-hashes -o requirements.txt # こちらを更新する場合は下3つも更新する必要があります。 -poetry export --without-hashes --with dev -o requirements-dev.txt -poetry export --without-hashes --with test -o requirements-test.txt -poetry export --without-hashes --with license -o requirements-license.txt -``` - -### ライセンス - -依存ライブラリは「コアビルド時にリンクして一体化しても、コア部のコード非公開 OK」なライセンスを持つ必要があります。 -主要ライセンスの可否は以下の通りです。 - -- MIT/Apache/BSD-3: OK -- LGPL: OK (コアと動的分離されているため) -- GPL: NG (全関連コードの公開が必要なため) - -## ユーザー辞書の更新について - -以下のコマンドで openjtalk のユーザー辞書をコンパイルできます。 - -```bash -python -c "import pyopenjtalk; pyopenjtalk.create_user_dict('default.csv','user.dic')" -``` - -## マルチエンジン機能に関して - -VOICEVOX エディターでは、複数のエンジンを同時に起動することができます。 -この機能を利用することで、自作の音声合成エンジンや既存の音声合成エンジンを VOICEVOX エディター上で動かすことが可能です。 - - - -
- -### マルチエンジン機能の仕組み - -VOICEVOX API に準拠した複数のエンジンの Web API をポートを分けて起動し、統一的に扱うことでマルチエンジン機能を実現しています。 -エディターがそれぞれのエンジンを実行バイナリ経由で起動し、EngineID と結びつけて設定や状態を個別管理します。 - -### マルチエンジン機能への対応方法 - -VOICEVOX API 準拠エンジンを起動する実行バイナリを作ることで対応が可能です。 -VOICEVOX ENGINE リポジトリを fork し、一部の機能を改造するのが簡単です。 - -改造すべき点はエンジン情報・キャラクター情報・音声合成の3点です。 - -エンジンの情報はエンジンマニフェスト(`engine_manifest.json`)で管理されています。 -マニフェストファイル内の情報を見て適宜変更してください。 -音声合成手法によっては、例えばモーフィング機能など、VOICEVOX と同じ機能を持つことができない場合があります。 -その場合はマニフェストファイル内の`supported_features`内の情報を適宜変更してください。 - -キャラクター情報は`speaker_info`ディレクトリ内のファイルで管理されています。 -ダミーのアイコンなどが用意されているので適宜変更してください。 - -音声合成は`voicevox_engine/synthesis_engine/synthesis_engine.py`で行われています。 -VOICEVOX API での音声合成は、エンジン側で音声合成クエリ`AudioQuery`の初期値を作成してユーザーに返し、ユーザーが必要に応じてクエリを編集したあと、エンジンがクエリに従って音声合成することで実現しています。 -クエリ作成は`/audio_query`エンドポイントで、音声合成は`/synthesis`エンドポイントで行っており、最低この2つに対応すれば VOICEVOX API に準拠したことになります。 - -### マルチエンジン機能対応エンジンの配布方法 - -VVPP ファイルとして配布するのがおすすめです。 -VVPP は「VOICEVOX プラグインパッケージ」の略で、中身はビルドしたエンジンなどを含んだディレクトリの Zip ファイルです。 -拡張子を`.vvpp`にすると、ダブルクリックで VOICEVOX エディターにインストールできます。 - -エディター側は受け取った VVPP ファイルをローカルディスク上に Zip 展開したあと、ルートの直下にある`engine_manifest.json`に従ってファイルを探査します。 -VOICEVOX エディターにうまく読み込ませられないときは、エディターのエラーログを参照してください。 - -また、`xxx.vvpp`は分割して連番を付けた`xxx.0.vvppp`ファイルとして配布することも可能です。 -これはファイル容量が大きくて配布が困難な場合に有用です。 - -
- -## GitHub Actions - -### Variables - -| name | description | -| :----------------- | :---------------------------------------------------------------------- | -| DOCKERHUB_USERNAME | Docker Hub ユーザ名 | - -### Secrets - -| name | description | -| :----------------- | :---------------------------------------------------------------------- | -| DOCKERHUB_TOKEN | [Docker Hub アクセストークン](https://hub.docker.com/settings/security) | - -## 事例紹介 - -**[voicevox-client](https://github.com/tuna2134/voicevox-client) [@tuna2134](https://github.com/tuna2134)** ・・・ VOICEVOX ENGINE のためのPythonラッパー - -## ライセンス - -LGPL v3 と、ソースコードの公開が不要な別ライセンスのデュアルライセンスです。 -別ライセンスを取得したい場合は、ヒホ(twitter: @hiho_karuta)に求めてください。 \ No newline at end of file diff --git a/spaces/801artistry/RVC801/lib/uvr5_pack/lib_v5/nets_123812KB.py b/spaces/801artistry/RVC801/lib/uvr5_pack/lib_v5/nets_123812KB.py deleted file mode 100644 index becbfae85683a13bbb19d3ea6c840da24e61e01e..0000000000000000000000000000000000000000 --- a/spaces/801artistry/RVC801/lib/uvr5_pack/lib_v5/nets_123812KB.py +++ /dev/null @@ -1,122 +0,0 @@ -import torch -from torch import nn -import torch.nn.functional as F - -from . import layers_123821KB as layers - - -class BaseASPPNet(nn.Module): - def __init__(self, nin, ch, dilations=(4, 8, 16)): - super(BaseASPPNet, self).__init__() - self.enc1 = layers.Encoder(nin, ch, 3, 2, 1) - self.enc2 = layers.Encoder(ch, ch * 2, 3, 2, 1) - self.enc3 = layers.Encoder(ch * 2, ch * 4, 3, 2, 1) - self.enc4 = layers.Encoder(ch * 4, ch * 8, 3, 2, 1) - - self.aspp = layers.ASPPModule(ch * 8, ch * 16, dilations) - - self.dec4 = layers.Decoder(ch * (8 + 16), ch * 8, 3, 1, 1) - self.dec3 = layers.Decoder(ch * (4 + 8), ch * 4, 3, 1, 1) - self.dec2 = layers.Decoder(ch * (2 + 4), ch * 2, 3, 1, 1) - self.dec1 = layers.Decoder(ch * (1 + 2), ch, 3, 1, 1) - - def __call__(self, x): - h, e1 = self.enc1(x) - h, e2 = self.enc2(h) - h, e3 = self.enc3(h) - h, e4 = self.enc4(h) - - h = self.aspp(h) - - h = self.dec4(h, e4) - h = self.dec3(h, e3) - h = self.dec2(h, e2) - h = self.dec1(h, e1) - - return h - - -class CascadedASPPNet(nn.Module): - def __init__(self, n_fft): - super(CascadedASPPNet, self).__init__() - self.stg1_low_band_net = BaseASPPNet(2, 32) - self.stg1_high_band_net = BaseASPPNet(2, 32) - - self.stg2_bridge = layers.Conv2DBNActiv(34, 16, 1, 1, 0) - self.stg2_full_band_net = BaseASPPNet(16, 32) - - self.stg3_bridge = layers.Conv2DBNActiv(66, 32, 1, 1, 0) - self.stg3_full_band_net = BaseASPPNet(32, 64) - - self.out = nn.Conv2d(64, 2, 1, bias=False) - self.aux1_out = nn.Conv2d(32, 2, 1, bias=False) - self.aux2_out = nn.Conv2d(32, 2, 1, bias=False) - - self.max_bin = n_fft // 2 - self.output_bin = n_fft // 2 + 1 - - self.offset = 128 - - def forward(self, x, aggressiveness=None): - mix = x.detach() - x = x.clone() - - x = x[:, :, : self.max_bin] - - bandw = x.size()[2] // 2 - aux1 = torch.cat( - [ - self.stg1_low_band_net(x[:, :, :bandw]), - self.stg1_high_band_net(x[:, :, bandw:]), - ], - dim=2, - ) - - h = torch.cat([x, aux1], dim=1) - aux2 = self.stg2_full_band_net(self.stg2_bridge(h)) - - h = torch.cat([x, aux1, aux2], dim=1) - h = self.stg3_full_band_net(self.stg3_bridge(h)) - - mask = torch.sigmoid(self.out(h)) - mask = F.pad( - input=mask, - pad=(0, 0, 0, self.output_bin - mask.size()[2]), - mode="replicate", - ) - - if self.training: - aux1 = torch.sigmoid(self.aux1_out(aux1)) - aux1 = F.pad( - input=aux1, - pad=(0, 0, 0, self.output_bin - aux1.size()[2]), - mode="replicate", - ) - aux2 = torch.sigmoid(self.aux2_out(aux2)) - aux2 = F.pad( - input=aux2, - pad=(0, 0, 0, self.output_bin - aux2.size()[2]), - mode="replicate", - ) - return mask * mix, aux1 * mix, aux2 * mix - else: - if aggressiveness: - mask[:, :, : aggressiveness["split_bin"]] = torch.pow( - mask[:, :, : aggressiveness["split_bin"]], - 1 + aggressiveness["value"] / 3, - ) - mask[:, :, aggressiveness["split_bin"] :] = torch.pow( - mask[:, :, aggressiveness["split_bin"] :], - 1 + aggressiveness["value"], - ) - - return mask * mix - - def predict(self, x_mag, aggressiveness=None): - h = self.forward(x_mag, aggressiveness) - - if self.offset > 0: - h = h[:, :, :, self.offset : -self.offset] - assert h.size()[3] > 0 - - return h diff --git a/spaces/AIGC-Audio/AudioGPT/text_to_speech/utils/audio/pitch/utils.py b/spaces/AIGC-Audio/AudioGPT/text_to_speech/utils/audio/pitch/utils.py deleted file mode 100644 index 238b8022185753a7d4d9d674d189a99050c29b6f..0000000000000000000000000000000000000000 --- a/spaces/AIGC-Audio/AudioGPT/text_to_speech/utils/audio/pitch/utils.py +++ /dev/null @@ -1,82 +0,0 @@ -import numpy as np -import torch - - -def to_lf0(f0): - f0[f0 < 1.0e-5] = 1.0e-6 - lf0 = f0.log() if isinstance(f0, torch.Tensor) else np.log(f0) - lf0[f0 < 1.0e-5] = - 1.0E+10 - return lf0 - - -def to_f0(lf0): - f0 = np.where(lf0 <= 0, 0.0, np.exp(lf0)) - return f0.flatten() - - -def f0_to_coarse(f0, f0_bin=256, f0_max=900.0, f0_min=50.0): - f0_mel_min = 1127 * np.log(1 + f0_min / 700) - f0_mel_max = 1127 * np.log(1 + f0_max / 700) - is_torch = isinstance(f0, torch.Tensor) - f0_mel = 1127 * (1 + f0 / 700).log() if is_torch else 1127 * np.log(1 + f0 / 700) - f0_mel[f0_mel > 0] = (f0_mel[f0_mel > 0] - f0_mel_min) * (f0_bin - 2) / (f0_mel_max - f0_mel_min) + 1 - - f0_mel[f0_mel <= 1] = 1 - f0_mel[f0_mel > f0_bin - 1] = f0_bin - 1 - f0_coarse = (f0_mel + 0.5).long() if is_torch else np.rint(f0_mel).astype(int) - assert f0_coarse.max() <= 255 and f0_coarse.min() >= 1, (f0_coarse.max(), f0_coarse.min(), f0.min(), f0.max()) - return f0_coarse - - -def coarse_to_f0(f0_coarse, f0_bin=256, f0_max=900.0, f0_min=50.0): - f0_mel_min = 1127 * np.log(1 + f0_min / 700) - f0_mel_max = 1127 * np.log(1 + f0_max / 700) - uv = f0_coarse == 1 - f0 = f0_mel_min + (f0_coarse - 1) * (f0_mel_max - f0_mel_min) / (f0_bin - 2) - f0 = ((f0 / 1127).exp() - 1) * 700 - f0[uv] = 0 - return f0 - - -def norm_f0(f0, uv, pitch_norm='log', f0_mean=400, f0_std=100): - is_torch = isinstance(f0, torch.Tensor) - if pitch_norm == 'standard': - f0 = (f0 - f0_mean) / f0_std - if pitch_norm == 'log': - f0 = torch.log2(f0 + 1e-8) if is_torch else np.log2(f0 + 1e-8) - if uv is not None: - f0[uv > 0] = 0 - return f0 - - -def norm_interp_f0(f0, pitch_norm='log', f0_mean=None, f0_std=None): - is_torch = isinstance(f0, torch.Tensor) - if is_torch: - device = f0.device - f0 = f0.data.cpu().numpy() - uv = f0 == 0 - f0 = norm_f0(f0, uv, pitch_norm, f0_mean, f0_std) - if sum(uv) == len(f0): - f0[uv] = 0 - elif sum(uv) > 0: - f0[uv] = np.interp(np.where(uv)[0], np.where(~uv)[0], f0[~uv]) - if is_torch: - uv = torch.FloatTensor(uv) - f0 = torch.FloatTensor(f0) - f0 = f0.to(device) - uv = uv.to(device) - return f0, uv - - -def denorm_f0(f0, uv, pitch_norm='log', f0_mean=400, f0_std=100, pitch_padding=None, min=50, max=900): - is_torch = isinstance(f0, torch.Tensor) - if pitch_norm == 'standard': - f0 = f0 * f0_std + f0_mean - if pitch_norm == 'log': - f0 = 2 ** f0 - f0 = f0.clamp(min=min, max=max) if is_torch else np.clip(f0, a_min=min, a_max=max) - if uv is not None: - f0[uv > 0] = 0 - if pitch_padding is not None: - f0[pitch_padding] = 0 - return f0 diff --git a/spaces/AIWaves/Software_Company/src/agents/Prompt/__init__.py b/spaces/AIWaves/Software_Company/src/agents/Prompt/__init__.py deleted file mode 100644 index da69c35ed2c4ec583721339c324a53d5622429d1..0000000000000000000000000000000000000000 --- a/spaces/AIWaves/Software_Company/src/agents/Prompt/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .base_Prompts import * \ No newline at end of file diff --git a/spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/custom_dataset/.ipynb_checkpoints/yolov5_s-v61_syncbn_fast_1xb32-100e_cat-checkpoint.py b/spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/custom_dataset/.ipynb_checkpoints/yolov5_s-v61_syncbn_fast_1xb32-100e_cat-checkpoint.py deleted file mode 100644 index c24cab973dbbededbd98f0d42444e689d7158695..0000000000000000000000000000000000000000 --- a/spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/custom_dataset/.ipynb_checkpoints/yolov5_s-v61_syncbn_fast_1xb32-100e_cat-checkpoint.py +++ /dev/null @@ -1,135 +0,0 @@ -_base_ = '../yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py' - -max_epochs = 100 # 训练的最大 epoch -data_root = './data-df2/' # 数据集目录的绝对路径 -# data_root = '/root/workspace/mmyolo/data/cat/' # Docker 容器里面数据集目录的绝对路径 - -# 结果保存的路径,可以省略,省略保存的文件名位于 work_dirs 下 config 同名的文件夹中 -# 如果某个 config 只是修改了部分参数,修改这个变量就可以将新的训练文件保存到其他地方 -work_dir = './work_dirs/yolov5_s_df2' - -# load_from 可以指定本地路径或者 URL,设置了 URL 会自动进行下载,因为上面已经下载过,我们这里设置本地路径 -# 因为本教程是在 cat 数据集上微调,故这里需要使用 `load_from` 来加载 MMYOLO 中的预训练模型,这样可以在加快收敛速度的同时保证精度 -# load_from = './work_dirs/yolov5_s-v61_syncbn_fast_8xb16-300e_coco_20220918_084700-86e02187.pth' # noqa - -# 根据自己的 GPU 情况,修改 batch size,YOLOv5-s 默认为 8卡 x 16bs -train_batch_size_per_gpu = 32 -train_num_workers = 4 # 推荐使用 train_num_workers = nGPU x 4 - -save_epoch_intervals = 2 # 每 interval 轮迭代进行一次保存一次权重 - -# 根据自己的 GPU 情况,修改 base_lr,修改的比例是 base_lr_default * (your_bs / default_bs) -base_lr = _base_.base_lr / 4 - -anchors = [ # 此处已经根据数据集特点更新了 anchor,关于 anchor 的生成,后面小节会讲解 - [(68, 69), (154, 91), (143, 162)], # P3/8 - [(242, 160), (189, 287), (391, 207)], # P4/16 - [(353, 337), (539, 341), (443, 432)] # P5/32 -] - -class_name = ('short_sleeved_shirt', - 'long_sleeved_shirt', - 'short_sleeved_outwear', - 'long_sleeved_outwear', - 'vest', - 'sling', - 'shorts', - 'trousers', - 'skirt', - 'short_sleeved_dress', - 'long_sleeved_dress', - 'vest_dress', - 'sling_dress') # 根据 class_with_id.txt 类别信息,设置 class_name - -num_classes = len(class_name) -metainfo = dict( - classes=class_name, - palette=[(255, 0, 0), - (255, 128, 0), - (255, 255, 0), - (128, 255, 0), - (0, 255, 0), - (0, 255, 128), - (0, 255, 255), - (0, 128, 255), - (0, 0, 255), - (127, 0, 255), - (255, 0, 255), - (255, 0, 127), - (128, 128, 128)] # 画图时候的颜色,随便设置即可 -) - -train_cfg = dict( - max_epochs=max_epochs, - val_begin=20, # 第几个 epoch 后验证,这里设置 20 是因为前 20 个 epoch 精度不高,测试意义不大,故跳过 - val_interval=save_epoch_intervals # 每 val_interval 轮迭代进行一次测试评估 - # dynamic_intervals=[(max_epochs-_base_.num_last_epochs, 1)] -) - -model = dict( - bbox_head=dict( - head_module=dict(num_classes=num_classes), - prior_generator=dict(base_sizes=anchors), - - # loss_cls 会根据 num_classes 动态调整,但是 num_classes = 1 的时候,loss_cls 恒为 0 - loss_cls=dict(loss_weight=0.5 * - (num_classes / 80 * 3 / _base_.num_det_layers)))) - -train_dataloader = dict( - batch_size=train_batch_size_per_gpu, - num_workers=train_num_workers, - dataset=dict( - _delete_=True, - type='RepeatDataset', - # 数据量太少的话,可以使用 RepeatDataset ,在每个 epoch 内重复当前数据集 n 次,这里设置 5 是重复 5 次 - times=2, - dataset=dict( - type=_base_.dataset_type, - data_root=data_root, - metainfo=metainfo, - ann_file='annotations/trainval.json', - data_prefix=dict(img='smaller-dataset/'), - filter_cfg=dict(filter_empty_gt=False, min_size=32), - pipeline=_base_.train_pipeline))) - -val_dataloader = dict( - dataset=dict( - metainfo=metainfo, - data_root=data_root, - ann_file='annotations/trainval.json', - data_prefix=dict(img='smaller-dataset/'))) - -test_dataloader = val_dataloader - -val_evaluator = dict(ann_file=data_root + 'annotations/trainval.json') -test_evaluator = val_evaluator - -optim_wrapper = dict(optimizer=dict(lr=base_lr)) - -default_hooks = dict( - # 设置间隔多少个 epoch 保存模型,以及保存模型最多几个,`save_best` 是另外保存最佳模型(推荐) - checkpoint=dict( - type='CheckpointHook', - interval=save_epoch_intervals, - max_keep_ckpts=5, - save_best='auto'), - param_scheduler=dict(max_epochs=max_epochs, warmup_mim_iter=10), - # logger 输出的间隔 - logger=dict(type='LoggerHook', interval=10)) - -# custom_hooks = [ -# dict( -# type="EMAHook", -# ema_type="ExpMomentumEMA", -# momentum=0.0001, -# update_buffers=True, -# strict_load=False, -# priority=49), -# dict( -# type="mmdet.PipelineSwitchHook", -# switch_epoch=max_epochs-max_epochs-_base_.num_last_epochs, -# switch_pipeline=_base_.train_pipeline_stage2 -# ) -# ] - -visualizer = dict(vis_backends=[dict(type='LocalVisBackend'), dict(type='WandbVisBackend')]) \ No newline at end of file diff --git a/spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/yolov6/yolov6_n_syncbn_fast_8xb32-300e_coco.py b/spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/yolov6/yolov6_n_syncbn_fast_8xb32-300e_coco.py deleted file mode 100644 index bc2db4b6c03277a7c62ba3ed505d54f54267328f..0000000000000000000000000000000000000000 --- a/spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/yolov6/yolov6_n_syncbn_fast_8xb32-300e_coco.py +++ /dev/null @@ -1,21 +0,0 @@ -_base_ = './yolov6_s_syncbn_fast_8xb32-300e_coco.py' - -# ======================= Possible modified parameters ======================= -# -----model related----- -# The scaling factor that controls the depth of the network structure -deepen_factor = 0.33 -# The scaling factor that controls the width of the network structure -widen_factor = 0.25 - -# -----train val related----- -lr_factor = 0.02 # Learning rate scaling factor - -# ============================== Unmodified in most cases =================== -model = dict( - backbone=dict(deepen_factor=deepen_factor, widen_factor=widen_factor), - neck=dict(deepen_factor=deepen_factor, widen_factor=widen_factor), - bbox_head=dict( - head_module=dict(widen_factor=widen_factor), - loss_bbox=dict(iou_mode='siou'))) - -default_hooks = dict(param_scheduler=dict(lr_factor=lr_factor)) diff --git a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/chart/Chart.js b/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/chart/Chart.js deleted file mode 100644 index ff54125a8ba66f8003c33ea9858f5491d8bfbf82..0000000000000000000000000000000000000000 --- a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/chart/Chart.js +++ /dev/null @@ -1,65 +0,0 @@ -import Canvas from '../canvas/Canvas.js'; -import SetChart from './SetChart.js'; -import GetChartDataset from './GetChartDataset.js'; -import GetChartData from './GetChartData.js'; -import SetChartData from './SetChartData.js'; -import UpdateChart from './UpdateChart.js'; - -// This plugin does not contain chart.js -// Load chart.js in preload stage - -// scene.load.script('chartjs', 'https://cdnjs.cloudflare.com/ajax/libs/Chart.js/3.8.0/Chart.min.js'); - -class Chart extends Canvas { - constructor(scene, x, y, width, height, config) { - super(scene, x, y, width, height); - this.type = 'rexChart'; - this.chart = undefined; - - if (config !== undefined) { - this.setChart(config); - } - } - - destroy(fromScene) { - // This Game Object has already been destroyed - if (!this.scene) { - return; - } - if (this.chart) { - this.chart.destroy(); - this.chart = undefined; - } - super.destroy(fromScene); - } - - resize(width, height) { - if ((width === this.width) && (height === this.height)) { - return this; - } - - super.resize(width, height); - - if (this.chart) { - var chart = this.chart; - chart.height = this.canvas.height; - chart.width = this.canvas.width; - chart.aspectRatio = (chart.height) ? chart.width / chart.height : null; - chart.update(); - } - return this; - } -} - -var methods = { - setChart: SetChart, - getChartDataset: GetChartDataset, - getChartData: GetChartData, - setChartData: SetChartData, - updateChart: UpdateChart, -} -Object.assign( - Chart.prototype, - methods -); - -export default Chart; \ No newline at end of file diff --git a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/maker/builders/Builders.d.ts b/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/maker/builders/Builders.d.ts deleted file mode 100644 index 1060083702109ff19a30437476962470896dad48..0000000000000000000000000000000000000000 --- a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/maker/builders/Builders.d.ts +++ /dev/null @@ -1,82 +0,0 @@ -import BBCodeText from '../../bbcodetext/BBCodeText'; -import RoundRectangle from '../../roundrectangle/RoundRectangle'; -import NinePatch from '../../ninepatch/NinePatch'; -import NinePatch2 from '../../ninepatch2/NinePatch'; -import Canvas from '../../canvas/Canvas'; -import CircleMaskImage from '../../circlemaskimage/CircleMaskImage'; -import Space from '../../space/Space'; - -import Sizer from '../../sizer/Sizer'; -import FixWidthSizer from '../../fixwidthsizer/FixWidthSizer'; -import GridSizer from '../../gridsizer/GridSizer'; -import OverlapSizer from '../../overlapsizer/OverlapSizer'; - -import Buttons from '../../buttons/Buttons'; -import FixWidthButtons from '../../fixwidthbuttons/FixWidthButtons'; -import GridButtons from '../../gridbuttons/GridButtons'; - -import Label from '../../label/Label'; -import BadgeLabel from '../../badgelabel/BadgeLabel'; -import Dialog from '../../dialog/Dialog'; -import TextBox from '../../textbox/TextBox'; -import Slider from '../../slider/Slider'; -import NumberBar from '../../numberbar/NumberBar'; -import ScrollBar from '../../scrollbar/ScrollBar'; -import TextArea from '../../textarea/TextArea'; -import Pages from '../../pages/Pages'; -import Toast from '../../toast/Toast'; -import Knob from '../../knob/Knob'; -import HolyGrail from '../../holygrail/HolyGrail'; -import Menu from '../../menu/Menu'; - -export default Builders; - -declare namespace Builders { - type BuilderTypeCommon = ( - scene: Phaser.Scene, - data: Object, - view: Object, - styles: Object, - customBuilders: { [name: string]: BuilderType } - ) => T; - - type BuilderType = BuilderTypeCommon; -} - -declare var Builders: { - Image: Builders.BuilderTypeCommon, - Sprite: Builders.BuilderTypeCommon, - Video: Builders.BuilderTypeCommon, - Text: Builders.BuilderTypeCommon, - BBCodeText: Builders.BuilderTypeCommon, - RoundRectangle: Builders.BuilderTypeCommon, - Ninepatch: Builders.BuilderTypeCommon, - Ninepatch2: Builders.BuilderTypeCommon, - Canvas: Builders.BuilderTypeCommon, - CircleMaskImage: Builders.BuilderTypeCommon, - Space: Builders.BuilderTypeCommon, - - Sizer: Builders.BuilderTypeCommon, - FixWidthSizer: Builders.BuilderTypeCommon, - GridSizer: Builders.BuilderTypeCommon, - OverlapSizer: Builders.BuilderTypeCommon, - - Buttons: Builders.BuilderTypeCommon, - FixWidthButtons: Builders.BuilderTypeCommon, - GridButtons: Builders.BuilderTypeCommon, - - Label: Builders.BuilderTypeCommon