Update app.py
Browse files
app.py
CHANGED
@@ -11,29 +11,32 @@ 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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# CARGAMOS LLM
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os.environ["GROQ_API_KEY"] = "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"
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model = 'llama3-8b-8192'
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llm = ChatGroq(model = model)
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# Función para mostrar logs
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def mostrar_logs(logs,hints):
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@@ -55,6 +58,9 @@ logs = []
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user_question = st.text_input("¡A jugar! Haz una pregunta al trebep:")
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if user_question:
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# Obtenemos la respuesta
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respuesta = qa.invoke(user_question)
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docs = respuesta['source_documents']
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st.set_page_config('Opositor')
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st.header("Pregunta al trebep")
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@st.cache_resource
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def incializar():
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# CARGAMOS LLM
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os.environ["GROQ_API_KEY"] = "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"
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model = 'llama3-8b-8192'
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llm = ChatGroq(model = model)
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# CARGAMOS MODELO DE EMBEDDING
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model_name = 'intfloat/multilingual-e5-base'
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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=namespace, embedding=embedding)
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# CREAMOS EL RETRIEVAL
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qa = RetrievalQA.from_chain_type(
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llm=llm,
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chain_type="stuff",
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retriever=vectorstore.as_retriever(),
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return_source_documents=True,
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#verbose=True
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)
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# Función para mostrar logs
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def mostrar_logs(logs,hints):
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user_question = st.text_input("¡A jugar! Haz una pregunta al trebep:")
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if user_question:
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# Inicializar entorno
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incializar()
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# Obtenemos la respuesta
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respuesta = qa.invoke(user_question)
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docs = respuesta['source_documents']
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