Update app.py
Browse files
app.py
CHANGED
@@ -2,16 +2,11 @@ import streamlit as st
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import os
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from groq import Groq
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from PyPDF2 import PdfReader
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from datetime import datetime
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_community.embeddings import HuggingFaceEmbeddings
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#from langchain.vectorstores import FAISS
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from langchain_community.vectorstores import FAISS
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from langchain_groq import ChatGroq
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#from langchain.chat_models import ChatOpenAI
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from langchain.chains.question_answering import load_qa_chain
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from langchain.chains import RetrievalQA
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st.set_page_config('Opositor')
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st.header("Pregunta al trebep")
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@@ -26,6 +21,7 @@ model_name = 'intfloat/multilingual-e5-small'
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embedding = HuggingFaceEmbeddings(model_name=model_name)
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# CARGAMOS EL VECTORSTORE DE PINECONE
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index_name = "boe-intfloat-multilingual-e5-base"
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namespace = "trebep"
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vectorstore = PineconeVectorStore(index_name=index_name, namespace=names, embedding=embedding)
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import os
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from groq import Groq
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from datetime import datetime
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from langchain_groq import ChatGroq
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from langchain.chains import RetrievalQA
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from langchain_pinecone import PineconeVectorStore
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st.set_page_config('Opositor')
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st.header("Pregunta al trebep")
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embedding = HuggingFaceEmbeddings(model_name=model_name)
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# CARGAMOS EL VECTORSTORE DE PINECONE
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os.environ["PINECONE_API_KEY"] ='4bf0b4cf-4ced-4f70-8977-d60bb8ae405a'
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index_name = "boe-intfloat-multilingual-e5-base"
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namespace = "trebep"
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vectorstore = PineconeVectorStore(index_name=index_name, namespace=names, embedding=embedding)
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