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Update modelo.py
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modelo.py
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@@ -8,9 +8,10 @@ from langchain_openai import ChatOpenAI
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from langchain_community.vectorstores import FAISS
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from langchain_community.document_loaders import HuggingFaceDatasetLoader
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from langchain_community.embeddings import HuggingFaceEmbeddings
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os.environ["OPENAI_API_KEY"] = st.secrets['OPENAI_API_KEY'] # agregada en la config de hugginface
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#Embeddings que transforman a vectores densos multidimensionales las preguntas del SII
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embeddings = HuggingFaceEmbeddings(
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model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", # Ruta a modelo Pre entrenado
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from langchain_community.vectorstores import FAISS
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from langchain_community.document_loaders import HuggingFaceDatasetLoader
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from langchain_community.embeddings import HuggingFaceEmbeddings
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def get_chain(openai_key):
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os.environ["OPENAI_API_KEY"] = openai_key # agregada en la config de hugginface
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#Embeddings que transforman a vectores densos multidimensionales las preguntas del SII
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embeddings = HuggingFaceEmbeddings(
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model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", # Ruta a modelo Pre entrenado
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