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adjust to @nextcloud/vue 7.3.0\n- improve and speedup calendar import, update existing events if needed\n- speedup drive size calculation\n- improve contact import, update existing ones if needed\n\n### Fixed\n- import photos/albums with slashes in their name\n [#122](https://github.com/nextcloud/integration_google/pull/122) @Gp2mv3\n- recover after an import job is brutally stopped with a 1h timeout before everything can start again\n [#35](https://github.com/nextcloud/integration_google/issues/35)\n [#115](https://github.com/nextcloud/integration_google/issues/115)\n [#116](https://github.com/nextcloud/integration_google/issues/116)\n- preserve exif data when downloading photos (all except geolocation which is stripped by google)\n [#119](https://github.com/nextcloud/integration_google/issues/119) @Sid127\n- only add file name suffix (google file id) for duplicated names (yes, google allows multiple files with the same name in a directory)\n [#127](https://github.com/nextcloud/integration_google/issues/127) @Mezgrman\n- don't skip contacts with no names" } }, "signatureDigest": "sha512" @@ -19836,19 +19836,19 @@ "phpVersionSpec": "*", "platformVersionSpec": ">=22.0.0 <27.0.0", "minIntSize": 32, - "download": "https://github.com/nextcloud/integration_google/releases/download/v1.0.9/integration_google-1.0.9.tar.gz", - "created": "2023-01-08T16:10:48.616896Z", + "download": "https://github.com/nextcloud/integration_google/releases/download/v1.0.9-5-nightly/integration_google-1.0.9-5-nightly.tar.gz", + "created": "2022-12-29T00:55:56.366865Z", "licenses": [ "agpl" ], - "lastModified": "2023-01-08T16:10:48.656687Z", - "isNightly": false, + "lastModified": "2022-12-29T00:55:56.378071Z", + "isNightly": true, "rawPhpVersionSpec": "*", "rawPlatformVersionSpec": ">=22 <=26", - "signature": 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@nextcloud/vue 7.3.0\n- improve and speedup calendar import, update existing events if needed\n- speedup drive size calculation\n- improve contact import, update existing ones if needed\n\n### Fixed\n- import photos/albums with slashes in their name\n [#122](https://github.com/nextcloud/integration_google/pull/122) @Gp2mv3\n- recover after an import job is brutally stopped with a 1h timeout before everything can start again\n [#35](https://github.com/nextcloud/integration_google/issues/35)\n [#115](https://github.com/nextcloud/integration_google/issues/115)\n [#116](https://github.com/nextcloud/integration_google/issues/116)\n- preserve exif data when downloading photos (all except geolocation which is stripped by google)\n [#119](https://github.com/nextcloud/integration_google/issues/119) @Sid127\n- only add file name suffix (google file id) for duplicated names (yes, google allows multiple files with the same name in a directory)\n [#127](https://github.com/nextcloud/integration_google/issues/127) @Mezgrman\n- don't skip contacts with no names" + "changelog": "" } }, "signatureDigest": "sha512" @@ -21376,7 +21376,7 @@ "issueTracker": "https://github.com/nextcloud/integration_openai/issues", "website": "https://github.com/nextcloud/integration_openai", "created": "2023-02-07T00:02:04.311790Z", - "lastModified": "2023-12-05T17:12:27.170744Z", + "lastModified": "2023-12-07T08:40:48.326744Z", "releases": [ { "version": "1.0.11", @@ -21701,7 +21701,7 @@ "en": { "name": "OpenAI and LocalAI integration", "summary": "Integration of OpenAI and LocalAI services", - "description": "This app includes 3 custom smart pickers for Nextcloud:\n* ChatGPT-like answers\n* Image generation (with DALL·E 2 or LocalAI)\n* Whisper dictation\n\nIt also implements\n\n* A Translation provider (using any available language model)\n* A SpeechToText provider (using Whisper)\n\nInstead of connecting to the OpenAI API for these, you can also connect to a self-hosted [LocalAI](https://localai.io) instance.\n\n## Ethical AI Rating\n### Rating for Text generation using ChatGPT via OpenAI API: 🔴\n\nNegative:\n* the software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* the trained model is not freely available, so the model can not be run on-premises\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n\n### Rating for Translation using ChatGPT via OpenAI API: 🔴\n\nNegative:\n* the software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* the trained model is not freely available, so the model can not be run on-premises\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n### Rating for Image generation using DALL·E via OpenAI API: 🔴\n\nNegative:\n* the software for training and inferencing of this model is proprietary, limiting running it locally or training by yourself\n* the trained model is not freely available, so the model can not be ran on-premises\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via OpenAI API: 🟡\n\nPositive:\n* the software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can run on-premise\n\nNegative:\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n### Rating for Text generation via LocalAI: 🟢\n\nPositive:\n* the software for training and inferencing of this model is open source\n* the trained model is freely available, and thus can be ran on-premises\n* the training data is freely available, making it possible to check or correct for bias or optimise the performance and CO2 usage.\n\n\n### Rating for Image generation using Stable Diffusion via LocalAI : 🟡\n\nPositive:\n* the software for training and inferencing of this model is open source\n* the trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via LocalAI: 🟡\n\nPositive:\n* the software for training and inferencing of this model is open source\n* the trained model is freely available, and thus can be ran on-premises \n\nNegative:\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\nLearn more about the Nextcloud Ethical AI Rating [in our blog](https://nextcloud.com/blog/nextcloud-ethical-ai-rating/)." + "description": "This app includes 3 custom smart pickers for Nextcloud:\n* ChatGPT-like answers\n* Image generation (with DALL·E 2 or LocalAI)\n* Whisper dictation\n\nIt also implements\n\n* A Translation provider (using any available language model)\n* A SpeechToText provider (using Whisper)\n\nInstead of connecting to the OpenAI API for these, you can also connect to a self-hosted [LocalAI](https://localai.io) instance.\n\n## Ethical AI Rating\n### Rating for Text generation using ChatGPT via OpenAI API: 🔴\n\nNegative:\n* the software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* the trained model is not freely available, so the model can not be run on-premises\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n\n### Rating for Translation using ChatGPT via OpenAI API: 🔴\n\nNegative:\n* the software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* the trained model is not freely available, so the model can not be run on-premises\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n### Rating for Image generation using DALL·E via OpenAI API: 🔴\n\nNegative:\n* the software for training and inferencing of this model is proprietary, limiting running it locally or training by yourself\n* the trained model is not freely available, so the model can not be ran on-premises\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via OpenAI API: 🟡\n\nPositive:\n* the software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can run on-premise\n\nNegative:\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n### Rating for Text generation via LocalAI: 🟢\n\nPositive:\n* the software for training and inferencing of this model is open source\n* the trained model is freely available, and thus can be ran on-premises\n* the training data is freely available, making it possible to check or correct for bias or optimise the performance and CO2 usage.\n\n\n### Rating for Image generation using Stable Diffusion via LocalAI : 🟡\n\nPositive:\n* the software for training and inferencing of this model is open source\n* the trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via LocalAI: 🟡\n\nPositive:\n* the software for training and inferencing of this model is open source\n* the trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\nLearn more about the Nextcloud Ethical AI Rating [in our blog](https://nextcloud.com/blog/nextcloud-ethical-ai-rating/)." } }, "isFeatured": false, @@ -21766,16 +21766,16 @@ "phpVersionSpec": "*", "platformVersionSpec": ">=25.0.0 <29.0.0", "minIntSize": 32, - "download": "https://github.com/nextcloud/integration_openproject/releases/download/v2.4.5-20231020-nightly/integration_openproject-2.4.5-20231020-nightly.tar.gz", - 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