# 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"
"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"
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"Plural-Forms: nplurals=2; plural=(n != 1);\n"
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#: ../../source/examples/pdf_chatbot.rst:5
msgid "Example: PDF Chatbot📚"
msgstr "Esempio: Chatbot PDF 📚"

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

#: ../../source/examples/pdf_chatbot.rst:9
msgid ""
"This example showcases how to build a PDF chatbot with local LLM and "
"Embedding models"
msgstr ""
"Questo esempio mostra come costruire un chatbot per PDF utilizzando un LLM "
"locale e un modello di embedding."

#: ../../source/examples/pdf_chatbot.rst:11
msgid "**Used Technology**:"
msgstr "**Tecnologie coinvolte**:"

#: ../../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>`_ come servizio di "
"hosting per modelli 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>`_ viene utilizzato "
"per orchestrare l'intera pipeline RAG."

#: ../../source/examples/pdf_chatbot.rst:17
msgid "@ `Streamlit <https://streamlit.io/>`_ for interactive UI"
msgstr ""
"@ `Streamlit <https://streamlit.io/>`_ per interfaccia utente interattiva"

#: ../../source/examples/pdf_chatbot.rst:19
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Spiegazione dettagliata delle funzionalità dimostrative**:"

#: ../../source/examples/pdf_chatbot.rst:21
msgid ""
"Crafted a Dockerfile to simplify the process and ensure easy "
"reproducibility."
msgstr ""
"Ho creato un Dockerfile, semplificando il processo di deployment tramite "
"Docker e garantendo una facile riproducibilità."

#: ../../source/examples/pdf_chatbot.rst:23
msgid "Set up models with Xinference and expose two ports for accessing them."
msgstr ""
"Utilizza Xinference per avviare i modelli LLM ed embedding, ed esponi due "
"porte per accedervi."

#: ../../source/examples/pdf_chatbot.rst:25
msgid ""
"Leverage Streamlit for seamless file uploads and interactive communication "
"with the chat engine."
msgstr ""
"Implementazione di un caricamento file senza soluzione di continuità e "
"comunicazione interattiva con il motore di chat tramite Streamlit."

#: ../../source/examples/pdf_chatbot.rst:27
msgid "5x faster doc embedding than OpenAI's API."
msgstr ""
"La velocità di embedding dei documenti è 5 volte superiore a quella dell'API"
" di 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 ""
"Utilizza la potenza di GGML per eseguire i modelli sulla GPU, garantendo "
"un'accelerazione e riducendo i tempi di attesa per i risultati."

#: ../../source/examples/pdf_chatbot.rst:31
msgid "**Source Code** :"
msgstr "**Codice sorgente**"

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