nirmalaag commited on
Commit
4dab520
·
verified ·
1 Parent(s): 971fc58

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -66,15 +66,15 @@ def main():
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  #PATH = 'model/'
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  #llm = AutoModelForCausalLM.from_pretrained("CohereForAI/aya-101")
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  # llm = AutoModelForCausalLM.from_pretrained(PATH,local_files_only=True)
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- llm = huggingface_hub.HuggingFaceHub(repo_id="google/flan-t5-small",
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  model_kwargs={"temperature":1.0, "max_length":256})
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  if query == 'Summarize':
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  #docs = pdf_reader.load_and_split()
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  chain = load_summarize_chain(llm, chain_type="map_reduce")
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  response = chain.run(chunks_doc[0])
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  else:
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- docs = vector_store.similarity_search(query=query, k=2)
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- #st.write(docs)
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  chain = load_qa_chain(llm=llm, chain_type="stuff")
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  response = chain.run(input_documents=docs, question=query)
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  #retriever=vector_store.as_retriever()
 
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  #PATH = 'model/'
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  #llm = AutoModelForCausalLM.from_pretrained("CohereForAI/aya-101")
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  # llm = AutoModelForCausalLM.from_pretrained(PATH,local_files_only=True)
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+ llm = huggingface_hub.HuggingFaceHub(repo_id="google/flan-t5-large",
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  model_kwargs={"temperature":1.0, "max_length":256})
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  if query == 'Summarize':
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  #docs = pdf_reader.load_and_split()
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  chain = load_summarize_chain(llm, chain_type="map_reduce")
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  response = chain.run(chunks_doc[0])
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  else:
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+ docs = vector_store.similarity_search(query=query, k=3)
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+ st.write(docs)
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  chain = load_qa_chain(llm=llm, chain_type="stuff")
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  response = chain.run(input_documents=docs, question=query)
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  #retriever=vector_store.as_retriever()