# 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 ""
"Project-Id-Version: Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-11-01 10:48+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: pt_BR <LL@li.org>\n"
"Language: pt_BR\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/examples/pdf_chatbot.rst:5
msgid "Example: PDF Chatbot📚"
msgstr "Exemplo: Chatbot de PDF 📚"

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

#: ../../source/examples/pdf_chatbot.rst:9
msgid ""
"This example showcases how to build a PDF chatbot with local LLM and "
"Embedding models"
msgstr ""
"Este exemplo mostra como construir um chatbot de PDF utilizando um LLM local"
" e um modelo de embedding."

#: ../../source/examples/pdf_chatbot.rst:11
msgid "**Used Technology**:"
msgstr "**Tecnologias envolvidas**:"

#: ../../source/examples/pdf_chatbot.rst:13
msgid ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_ as a LLM model "
"hosting service"
msgstr ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_ como serviço de "
"hospedagem de modelos LLM"

#: ../../source/examples/pdf_chatbot.rst:15
msgid ""
"@ `LlamaIndex <https://github.com/run-llama/llama_index>`_ for orchestrating"
" the entire RAG pipeline"
msgstr ""
"@ `LlamaIndex <https://github.com/run-llama/llama_index>`_ usado para "
"orquestrar todo o pipeline RAG"

#: ../../source/examples/pdf_chatbot.rst:17
msgid "@ `Streamlit <https://streamlit.io/>`_ for interactive UI"
msgstr ""
"@ `Streamlit <https://streamlit.io/>`_ para interface interativa do usuário"

#: ../../source/examples/pdf_chatbot.rst:19
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Explicação detalhada sobre a funcionalidade de demonstração**:"

#: ../../source/examples/pdf_chatbot.rst:21
msgid ""
"Crafted a Dockerfile to simplify the process and ensure easy "
"reproducibility."
msgstr ""
"Foi criado um Dockerfile, que simplifica o processo de implantação por meio "
"do Docker e garante fácil reprodutibilidade."

#: ../../source/examples/pdf_chatbot.rst:23
msgid "Set up models with Xinference and expose two ports for accessing them."
msgstr ""
"Use o Xinference para iniciar o modelo LLM e o modelo de embedding, e "
"exponha duas portas para acessá-los."

#: ../../source/examples/pdf_chatbot.rst:25
msgid ""
"Leverage Streamlit for seamless file uploads and interactive communication "
"with the chat engine."
msgstr ""
"Implemente o upload contínuo de arquivos e a comunicação interativa com o "
"mecanismo de chat usando o Streamlit."

#: ../../source/examples/pdf_chatbot.rst:27
msgid "5x faster doc embedding than OpenAI's API."
msgstr "Document embedding speed é 5 vezes mais rápida que a API da OpenAI."

#: ../../source/examples/pdf_chatbot.rst:29
msgid ""
"Leveraging the power of GGML to offload models to the GPU, ensuring swift "
"acceleration. Less long waits for returns."
msgstr ""
"Utilize os recursos poderosos do GGML para executar o modelo na GPU, "
"garantindo aceleração e reduzindo o tempo de espera pelo retorno."

#: ../../source/examples/pdf_chatbot.rst:31
msgid "**Source Code** :"
msgstr "**Código-fonte**"

#: ../../source/examples/pdf_chatbot.rst:32
msgid ""
"`PDF Chatbot <https://github.com/onesuper/PDF-Chatbot-Local-LLM-"
"Embeddings>`_"
msgstr ""
