# 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"
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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"
"Language-Team: fr <LL@li.org>\n"
"Language: fr\n"
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#: ../../source/examples/langchain_streamlit_doc_chat.rst:5
msgid "Example: LangChain Streamlit Doc Chat📄"
msgstr "Exemple : Documentation LangChat Streamlit 📄"

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

#: ../../source/examples/langchain_streamlit_doc_chat.rst:9
msgid ""
"This Streamlit-based application demonstrates a AI chatbot powered by local "
"LLM and embedding models"
msgstr ""
"Cette application basée sur Streamlit démontre un chatbot IA alimenté par un"
" LLM local et un modèle d'embedding."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:11
msgid "**Used Technology**:"
msgstr "Technologies concernées :"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:13
msgid ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_: as the LLM and "
"embedding model hosting service"
msgstr ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_ : en tant que "
"service d'hébergement de modèles LLM et d'embedding"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:15
msgid ""
"@ `LangChain <https://github.com/run-llama/llama_index>`_: orchestrates the "
"entire document processing and query answering pipeline"
msgstr ""
"@ `LangChain <https://github.com/run-llama/llama_index>`_ : orchestre "
"l'ensemble du pipeline de traitement des documents et de réponse aux "
"requêtes."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:17
msgid "@ `Streamlit <https://streamlit.io/>`_: for interactive user interface"
msgstr ""
"@ `Streamlit <https://streamlit.io/>`_ : utilisé pour l'interface "
"utilisateur interactive"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:19
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Explication détaillée des fonctions de démonstration** :"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:21
msgid "Streamlit UI for uploading text files, enhancing user interaction."
msgstr ""
"Interface utilisateur Streamlit pour télécharger des fichiers texte, "
"améliorant l'interaction utilisateur."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:23
msgid ""
"Texts are split into chunks and embedded using Xinference for efficient "
"processing."
msgstr ""
"Le texte est divisé en blocs et subit une opération d'embedding via "
"Xinference pour garantir un traitement efficace."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:25
msgid ""
"Executes similarity searches on embedded texts to pinpoint relevant sections"
" for user queries."
msgstr ""
"Effectuer une recherche de similarité sur le texte intégré pour localiser "
"avec précision les parties pertinentes de la requête utilisateur."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:27
msgid "Utilizes a structured prompt template for focused LLM interactions."
msgstr ""
"Utilisez des modèles de prompts structurés pour interagir avec le modèle "
"LLM."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:29
msgid ""
"Xinference's LLM processes queries within the context of relevant document "
"parts, providing accurate responses."
msgstr ""
"Les LLM de Xinference traitent les requêtes dans le contexte de la section "
"de documentation pertinente, fournissant des réponses précises."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:31
msgid ""
"The system facilitates effective and context-sensitive document exploration,"
" aiding users in information retrieval."
msgstr ""
"Ce système permet une recherche de documents efficace et contextuelle, "
"aidant les utilisateurs à effectuer une récupération d'informations "
"performante."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:33
msgid "**Source Code** :"
msgstr "**Code source**"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:34
msgid ""
"`LangChain Streamlit Doc Chat "
"<https://github.com/xorbitsai/inference/blob/main/examples/LangChain_Streamlit_Doc_Chat.py>`_"
msgstr ""
