Update app.py

app.py

@@ -52,8 +52,7 @@ if __name__=="__main__":
     embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L12-v2")
     persist_directory = "./persist_directory"
     db = Chroma(persist_directory=persist_directory, embedding_function=embeddings.embed_documents)
-    vectorstore = Chroma.from_documents(
-    documentos_fragmentados, embeddings, persist_directory="./chroma_db")    
+    vectorstore = Chroma.from_documents(textos, embeddings, persist_directory="./chroma_db")    
     print("Vectorizado terminado")
     retriever = vectorstore.as_retriever(search_type="similarity", search_kwargs={"k": 3})
     print("Carga del modelo")