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

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

#: ../../source/examples/ai_podcast.rst:9
msgid "🎙️AI Podcast - Voice Conversations with Multiple Agents on M2 Max 💻"
msgstr "🎙️Podcast de IA - Conversa de Voz Multiagente no Chip M2 Max"

#: ../../source/examples/ai_podcast.rst:11
msgid "**Support Language** :"
msgstr "**Idiomas suportados**:"

#: ../../source/examples/ai_podcast.rst:13
msgid "English (AI_Podcast.py)"
msgstr "Arquivo de código correspondente em inglês: AI_Podcast.py"

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

#: ../../source/examples/ai_podcast.rst:17
msgid "**Used Technology (EN version)** :"
msgstr "A versão em inglês envolve tecnologia:"

#: ../../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>`_ como plataforma"

#: ../../source/examples/ai_podcast.rst:29
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Explicação detalhada sobre a função de demonstração**:"

#: ../../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 ""
"Inicie o XInference, implante os modelos Wizardlm e Vicuna. Inicie o chat "
"especificando nomes para ambos os modelos e informando a eles que há um "
"usuário humano chamado \"username\", onde \"username\" é fornecido pela "
"entrada do usuário. Em seguida, inicialize um histórico de chat vazio para o"
" chat."

#: ../../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 ""
"Use um dispositivo de áudio para armazenar a gravação em um arquivo e, em "
"seguida, utilize o Whisper da OpenAI para transcrever o arquivo em uma "
"string de texto legível por humanos."

#: ../../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 ""
"Com base na string de mensagem de entrada, determine com quais agentes "
"(modelos) o usuário deseja conversar. Invoque esses agentes-alvo e utilize a"
" string de entrada do usuário junto com o histórico de chat como entrada "
"para o modelo gerar o conteúdo correspondente."

#: ../../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 a saída do modelo estiver pronta, use o comando \"Say\" do macOS para"
" gerar áudio através dos alto-falantes. Cada agente tem sua própria voz ao "
"falar."

#: ../../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 ""
"Armazenar a entrada do usuário e a resposta do agente no histórico de chat, "
"e repetir recursivamente o programa até que o usuário diga explicitamente "
"palavras como \"tchau\" em sua resposta."

#: ../../source/examples/ai_podcast.rst:46
msgid "**Highlight Features with Xinference** :"
msgstr "**Características proeminentes do 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 ""
"Com o sistema distribuído do Xinference, podemos facilmente implantar dois "
"modelos diferentes na mesma sessão e no mesmo \"chat room\". Com recursos "
"suficientes, o framework pode implantar simultaneamente qualquer número de "
"modelos."

#: ../../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 ""
"Com o Xinference, basta adicionar algumas linhas de código para implantar "
"modelos facilmente. Por exemplo, para iniciar o modelo Vicuna na "
"demonstração, 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 ""
"Em seguida, o cliente Xinference lidará com o \"download e cache do modelo "
"alvo\", \"configuração do ambiente e processos para o modelo\" e \"execução "
"do serviço no endpoint selecionado\". Agora você está pronto para interagir "
"com seu modelo LLM."

#: ../../source/examples/ai_podcast.rst:71
msgid "**Original Demo Video** :"
msgstr "**Vídeo de demonstração original**"

#: ../../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 de IA - Conversa por voz com múltiplos agentes no chip M2 Max 💻🔥🤖"
" <https://twitter.com/yichaocheng/status/1679129417778442240>`_"

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

#: ../../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>`_ "
"(versão em inglês)"

#: ../../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_ZH "
"<https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast_ZH.py>`_"
" (Versão em Chinês)"
