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

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

#: ../../source/examples/ai_podcast.rst:9
msgid "🎙️AI Podcast - Voice Conversations with Multiple Agents on M2 Max 💻"
msgstr "🎙️Pódcast de IA - Conversaciones de voz multiagente en el chip M2 Max"

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

#: ../../source/examples/ai_podcast.rst:13
msgid "English (AI_Podcast.py)"
msgstr "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 "La versión en inglés involucra tecnología:"

#: ../../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 "**Explicación detallada sobre las funciones de demostración**:"

#: ../../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 ""
"Inicia XInference, despliega los modelos Wizardlm y Vicuna. Inicia la sala "
"de chat especificando los nombres de los dos modelos e indicándoles que hay "
"un usuario humano llamado \"username\", donde \"username\" es proporcionado "
"por la entrada del usuario. Luego inicializa un historial de chat vacío para"
" la sala de 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 ""
"Almacena la grabación en un archivo usando un dispositivo de audio, luego "
"transcribe el archivo a una cadena de texto legible por humanos con Whisper "
"de OpenAI."

#: ../../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 ""
"Basado en la cadena del mensaje de entrada, determina con qué agentes "
"(modelos) desea conversar el usuario. Invoca a estos agentes objetivo y "
"utiliza la cadena de entrada del usuario y el historial de chat como entrada"
" para que el modelo genere el contenido correspondiente."

#: ../../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 ""
"Cuando el resultado del modelo esté listo, utiliza el comando \"Say\" de "
"macOS para generar audio a través del altavoz. Cada agente tiene su propia "
"voz al hablar."

#: ../../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 ""
"Almacenar la entrada del usuario y la respuesta del agente en el historial "
"del chat, y ejecutar un bucle recursivo del programa hasta que el usuario "
"diga explícitamente una palabra como \"adiós\" en su respuesta."

#: ../../source/examples/ai_podcast.rst:46
msgid "**Highlight Features with Xinference** :"
msgstr "**Características destacadas 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 ""
"Con el sistema distribuido de Xinference, podemos desplegar fácilmente dos "
"modelos diferentes en la misma sesión y en la misma \"sala de chat\". Con "
"recursos suficientes, este marco puede desplegar simultáneamente cualquier "
"cantidad 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 ""
"Usando Xinference, solo necesitas agregar unas pocas líneas de código para "
"implementar modelos fácilmente. Por ejemplo, para iniciar el modelo vicuna "
"en la demostración, solo necesitas:"

#: ../../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 ""
"Luego, el cliente de Xinference gestionará la \"descarga y el almacenamiento"
" en caché del modelo objetivo\", la \"configuración del entorno y los "
"procesos para el modelo\" y la \"ejecución del servicio en el endpoint "
"seleccionado\". Ahora estás listo para interactuar con tu modelo LLM."

#: ../../source/examples/ai_podcast.rst:71
msgid "**Original Demo Video** :"
msgstr "**Video de demostración 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 - Conversaciones de voz multiagente en el chip M2 Max💻🔥🤖 "
"<https://twitter.com/yichaocheng/status/1679129417778442240>`_"

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

#: ../../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>`_ "
"(versión en inglés)"

#: ../../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>`_"
" (versión en chino)"
