alexkueck commited on
Commit
4d00884
1 Parent(s): ce70846

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -17,9 +17,9 @@ from langchain_community.document_loaders.blob_loaders.youtube_audio import Yout
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  #from langchain.document_loaders import GenericLoader
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  from langchain.schema import AIMessage, HumanMessage
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  from langchain_community.llms import HuggingFaceHub
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- #from langchain_huggingface import HuggingFaceEmbeddings
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  from langchain_community.llms import HuggingFaceTextGenInference
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- from langchain_community.embeddings import HuggingFaceInstructEmbeddings, HuggingFaceEmbeddings, HuggingFaceBgeEmbeddings, HuggingFaceInferenceAPIEmbeddings
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  from langchain.prompts import PromptTemplate
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  from langchain.text_splitter import RecursiveCharacterTextSplitter
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  from langchain_community.vectorstores import Chroma
@@ -268,7 +268,7 @@ def generate_auswahl(prompt_in, file, file_history, chatbot, history, anzahl_doc
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  print("db neu aufbauen!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!1")
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  splits = document_loading_splitting()
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  if splits:
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- print("hier...............................")
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  vektordatenbank, retriever = document_storage_chroma(splits)
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  print("db done............................")
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  #from langchain.document_loaders import GenericLoader
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  from langchain.schema import AIMessage, HumanMessage
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  from langchain_community.llms import HuggingFaceHub
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+ from langchain_huggingface import HuggingFaceEmbeddings
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  from langchain_community.llms import HuggingFaceTextGenInference
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+ #from langchain_community.embeddings import HuggingFaceInstructEmbeddings, HuggingFaceEmbeddings, HuggingFaceBgeEmbeddings, HuggingFaceInferenceAPIEmbeddings
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  from langchain.prompts import PromptTemplate
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  from langchain.text_splitter import RecursiveCharacterTextSplitter
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  from langchain_community.vectorstores import Chroma
 
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  print("db neu aufbauen!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!1")
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  splits = document_loading_splitting()
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  if splits:
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+ print("hier..............................."+str(splits))
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  vektordatenbank, retriever = document_storage_chroma(splits)
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  print("db done............................")
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