# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
#, fuzzy
msgid ""
msgstr ""
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#: ../../source/examples/ai_podcast.rst:5
msgid "Example: AI Podcast 🎙"
msgstr "Exemple : Podcast intelligent 🎙"

#: ../../source/examples/ai_podcast.rst:7
msgid "**Description**:"
msgstr "description"

#: ../../source/examples/ai_podcast.rst:9
msgid "🎙️AI Podcast - Voice Conversations with Multiple Agents on M2 Max 💻"
msgstr "🎙️Podcast IA - Dialogue vocal multi-agent sur la puce M2 Max"

#: ../../source/examples/ai_podcast.rst:11
msgid "**Support Language** :"
msgstr "**Langues supportées** :"

#: ../../source/examples/ai_podcast.rst:13
msgid "English (AI_Podcast.py)"
msgstr "Fichier de code anglais correspondant : AI_Podcast.py"

#: ../../source/examples/ai_podcast.rst:15
msgid "Chinese (AI_Podcast_ZH.py)"
msgstr "Correspondance du fichier de code en chinois : AI_Podcast_ZH.py"

#: ../../source/examples/ai_podcast.rst:17
msgid "**Used Technology (EN version)** :"
msgstr "La version anglaise concerne la technologie :"

#: ../../source/examples/ai_podcast.rst:19
msgid ""
"@ `OpenAI <https://twitter.com/OpenAI>`_ 's `whisper "
"<https://pypi.org/project/openai-whisper/>`_"
msgstr ""
"@ `OpenAI <https://twitter.com/OpenAI>`_ `whisper "
"<https://pypi.org/project/openai-whisper/>`_"

#: ../../source/examples/ai_podcast.rst:21
msgid ""
"@ `ggerganov <https://twitter.com/ggerganov>`_ 's `ggml "
"<https://github.com/ggerganov/ggml>`_"
msgstr ""
"@ `ggerganov <https://twitter.com/ggerganov>`_ `ggml "
"<https://github.com/ggerganov/ggml>`_"

#: ../../source/examples/ai_podcast.rst:23
msgid ""
"@ `WizardLM_AI <https://twitter.com/WizardLM_AI>`_ 's `wizardlm v1.0 "
"<https://huggingface.co/WizardLM>`_"
msgstr ""
"@ `WizardLM_AI <https://twitter.com/WizardLM_AI>`_ `wizardlm v1.0 "
"<https://huggingface.co/WizardLM>`_"

msgid ""
"@ `lmsysorg <https://twitter.com/lmsysorg>`_ 's `vicuna v1.3 "
"<https://huggingface.co/lmsys/vicuna-7b-v1.3>`_"
msgstr ""
"@ `lmsysorg <https://twitter.com/lmsysorg>`_ `vicuna v1.3 "
"<https://huggingface.co/lmsys/vicuna-7b-v1.3>`_"

#: ../../source/examples/ai_podcast.rst:27
msgid "@ `Xinference <https://github.com/xorbitsai/inference>`_ as a launcher"
msgstr ""
"`Xinference <https://github.com/xorbitsai/inference>`_ en tant que "
"plateforme"

#: ../../source/examples/ai_podcast.rst:29
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Explication détaillée des fonctions de démonstration** :"

#: ../../source/examples/ai_podcast.rst:31
msgid ""
"Generate the Wizardlm Model and Vicuna Model when the program is launching "
"with Xorbits Inference. Initiate the Chatroom by giving the two chatbot "
"their names and telling them that there is a human user called \"username\","
" where \"username\" is given by user's input. Initialize a empty chat "
"history for the chatroom."
msgstr ""
"Lancez XInference, déployez le modèle Wizardlm et le modèle Vicuna. Démarrez"
" une salle de discussion en spécifiant les noms des deux modèles et en leur "
"indiquant qu'il y a un utilisateur humain nommé \"username\", où "
"\"username\" est fourni par la saisie de l'utilisateur. Initialisez ensuite "
"un historique de discussion vide pour la salle de discussion."

#: ../../source/examples/ai_podcast.rst:35
msgid ""
"Use Audio device to store recording into file, and transcribe the file using"
" OpenAI's Whisper to receive a human readable text as string."
msgstr ""
"Utilisez un périphérique audio pour enregistrer l'audio dans un fichier, "
"puis utilisez Whisper d'OpenAI pour transcrire le fichier en une chaîne de "
"texte lisible par l'homme."

#: ../../source/examples/ai_podcast.rst:37
msgid ""
"Based on the input message string, determine which agents the user want to "
"talk to. Call the target agents and parse in the input string and chat "
"history for the model to generate."
msgstr ""
"Sur la base de la chaîne de message d'entrée, déterminez avec quels agents "
"(modèles) l'utilisateur souhaite dialoguer. Appelez ces agents cibles et "
"transmettez la chaîne d'entrée de l'utilisateur ainsi que l'historique de "
"chat en tant qu'entrée au modèle pour générer le contenu correspondant."

#: ../../source/examples/ai_podcast.rst:40
msgid ""
"When the responses are ready, use Macos's \"Say\" Command to produce audio "
"through speaker. Each agents have their own voice while speaking."
msgstr ""
"Lorsque la sortie du modèle est prête, utilisez la commande \"Say\" de MacOS"
" pour générer un audio via les haut-parleurs. Chaque agent a sa propre voix "
"lorsqu'il parle."

#: ../../source/examples/ai_podcast.rst:43
msgid ""
"Store the user input and the agent response into chat history, and "
"recursively looping the program until user explicitly says words like \"see "
"you\" in their responses."
msgstr ""
"Stockez les entrées utilisateur et les réponses de l'agent dans l'historique"
" des conversations, et exécutez un programme récursif en boucle jusqu'à ce "
"que l'utilisateur prononce explicitement des mots comme \"au revoir\" dans "
"sa réponse."

#: ../../source/examples/ai_podcast.rst:46
msgid "**Highlight Features with Xinference** :"
msgstr "**Caractéristiques marquantes de Xinference** :"

#: ../../source/examples/ai_podcast.rst:48
msgid ""
"With Xinference's distributed system, we can easily deploy two different "
"models in the same session and in the same \"chatroom\". With enough "
"resources, the framework can deploy any amount of models you like at the "
"same time."
msgstr ""
"Grâce au système distribué de Xinference, nous pouvons facilement déployer "
"deux modèles différents dans la même session et la même \"salle de "
"discussion\". Avec des ressources suffisantes, ce framework peut déployer "
"simultanément un nombre illimité de modèles."

#: ../../source/examples/ai_podcast.rst:51
msgid ""
"With Xinference, you can deploy the model easily by just adding a few lines "
"of code. For examples, for launching the vicuna model in the demo, just by::"
msgstr ""
"Avec Xinference, il suffit d'ajouter quelques lignes de code pour déployer "
"facilement un modèle. Par exemple, pour lancer le modèle vicuna dans la "
"démonstration, il suffit de::"

#: ../../source/examples/ai_podcast.rst:68
msgid ""
"Then, the Xinference client will handle \"target model downloading and "
"caching\", \"set up environment and process for the model\", and \"run the "
"service at selected endpoint. \" You are now ready to play with your llm "
"model."
msgstr ""
"Ensuite, le client Xinverse se chargera du « téléchargement et de la mise en"
" cache du modèle cible », de la « configuration de l'environnement et des "
"processus pour le modèle », ainsi que de « l'exécution du service sur le "
"point de terminaison sélectionné ». Vous êtes maintenant prêt à interagir "
"avec votre modèle LLM."

#: ../../source/examples/ai_podcast.rst:71
msgid "**Original Demo Video** :"
msgstr "**Vidéo de démonstration originale**"

#: ../../source/examples/ai_podcast.rst:73
msgid ""
"`🎙️AI Podcast - Voice Conversations with Multiple Agents on M2 Max💻🔥🤖 "
"<https://twitter.com/yichaocheng/status/1679129417778442240>`_"
msgstr ""
"`🎙️Podcast IA - Dialogue vocal multi-agent sur une puce M2 Max 💻🔥🤖 "
"<https://twitter.com/yichaocheng/status/1679129417778442240>`_"

#: ../../source/examples/ai_podcast.rst:75
msgid "**Source Code** :"
msgstr "**Code source**"

#: ../../source/examples/ai_podcast.rst:77
msgid ""
"`AI_Podcast "
"<https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast.py>`_ "
"(English Version)"
msgstr ""
"`Podcast IA "
"<https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast.py>`_ "
"(Version anglaise)"

#: ../../source/examples/ai_podcast.rst:79
msgid ""
"`AI_Podcast_ZH "
"<https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast_ZH.py>`_"
" (Chinese Version)"
msgstr ""
"`Podcast IA "
"<https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast_ZH.py>`_"
" (Version chinoise)"
