# 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.
#
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
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"POT-Creation-Date: 2023-12-25 17:11+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Generated-By: Babel 2.18.0\n"

#: ../../source/examples/ai_podcast.rst:5
msgid "Example: AI Podcast 🎙"
msgstr "Esempio: Podcast Intelligenti 🎙"

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

#: ../../source/examples/ai_podcast.rst:9
msgid "🎙️AI Podcast - Voice Conversations with Multiple Agents on M2 Max 💻"
msgstr "🎙️Podcast AI - Conversazione vocale multi-agente su chip M2 Max"

#: ../../source/examples/ai_podcast.rst:11
msgid "**Support Language** :"
msgstr "**Lingue supportate**"

#: ../../source/examples/ai_podcast.rst:13
msgid "English (AI_Podcast.py)"
msgstr "File del codice corrispondente in inglese: AI_Podcast.py"

#: ../../source/examples/ai_podcast.rst:15
msgid "Chinese (AI_Podcast_ZH.py)"
msgstr "Cinese (AI_Podcast_ZH.py)"

#: ../../source/examples/ai_podcast.rst:17
msgid "**Used Technology (EN version)** :"
msgstr "**Tecnologia utilizzata (versione EN)**:"

#: ../../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>`_ come piattaforma"

#: ../../source/examples/ai_podcast.rst:29
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Spiegazione dettagliata delle funzionalità demo**:"

#: ../../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 ""
"Avvia XInference, distribuisci il modello Wizardlm e il modello Vicuna. "
"Avvia la chat room specificando i nomi per i due modelli e comunicando loro "
"che esiste un utente umano chiamato \"username\", dove \"username\" è "
"fornito dall'input dell'utente. Quindi inizializza una cronologia chat vuota"
" per la chat room."

#: ../../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 ""
"Utilizza un dispositivo audio per salvare la registrazione in un file, "
"quindi utilizza Whisper di OpenAI per trascrivere il file in una stringa di "
"testo leggibile dall'uomo."

#: ../../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 ""
"Sulla base della stringa del messaggio in input, determina con quali agenti "
"(modelli) l'utente desidera dialogare. Richiama questi agenti target e "
"utilizza la stringa di input dell'utente e la cronologia della chat come "
"input per far sì che il modello generi il contenuto corrispondente."

#: ../../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 ""
"Quando l'output del modello è pronto, genera audio attraverso gli "
"altoparlanti utilizzando il comando \"Say\" di MacOS. Ogni agente ha la "
"propria voce quando parla."

#: ../../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 ""
"Memorizza l'input dell'utente e la risposta dell'agente nella cronologia "
"della chat, e ripeti il programma in modo ricorsivo finché l'utente non "
"esprime esplicitamente nella sua risposta parole come \"arrivederci\"."

#: ../../source/examples/ai_podcast.rst:46
msgid "**Highlight Features with Xinference** :"
msgstr "**Caratteristiche principali di 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 ""
"Grazie al sistema distribuito di Xinference, possiamo facilmente "
"implementare due modelli diversi nella stessa sessione e nella stessa "
"\"chatroom\". Con risorse sufficienti, questo framework può distribuire "
"simultaneamente un numero qualsiasi di modelli."

#: ../../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 ""
"Utilizzando Xinference, bastano poche righe di codice per distribuire "
"facilmente un modello. Ad esempio, per avviare il modello vicuna nella demo,"
" basta:"

#: ../../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 ""
"Successivamente, il client Xinference gestirà \"il download e la cache del "
"modello target\", \"l'impostazione dell'ambiente e dei processi per il "
"modello\" e \"l'esecuzione del servizio sull'endpoint selezionato\". Ora sei"
" pronto per interagire con il tuo modello LLM."

#: ../../source/examples/ai_podcast.rst:71
msgid "**Original Demo Video** :"
msgstr "**Video dimostrativo 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 AI - Conversazione vocale multi-agente sul chip M2 Max💻🔥🤖 "
"<https://twitter.com/yichaocheng/status/1679129417778442240>`_"

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

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

#: ../../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 ""
"`AI Podcast "
"<https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast_ZH.py>`_"
" (versione cinese)"
