ranchaya sambath commited on
Commit
46b7307
·
1 Parent(s): bd213fb

revert change

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -10,11 +10,11 @@ def main():
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  pdf_folder_path = "./PDFfiles"
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  loader = PyPDFDirectoryLoader(pdf_folder_path)
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  docs = loader.load()
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- text_splitter = RecursiveCharacterTextSplitter (chunk_size=1000, chunk_overlap=0)
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  texts = text_splitter.split_documents(docs)
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  embeddings = HuggingFaceEmbeddings()
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  vectordb = Chroma.from_documents(documents=texts,embedding=embeddings)
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- llm = HuggingFaceHub(repo_id="google/flan-t5-large", model_kwargs={"temperature":0,"max_length":200}, huggingfacehub_api_token="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") # type: ignore
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  qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff",retriever=vectordb.as_retriever(search_type="mmr", search_kwargs={'fetch_k': 30}), return_source_documents=True)
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  query = st.text_input("Ask a question: ")
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  qa(inputs=query,return_only_outputs=True)
 
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  pdf_folder_path = "./PDFfiles"
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  loader = PyPDFDirectoryLoader(pdf_folder_path)
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  docs = loader.load()
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+ text_splitter = RecursiveCharacterTextSplitter (chunk_size=1000, chunk_overlap=200)
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  texts = text_splitter.split_documents(docs)
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  embeddings = HuggingFaceEmbeddings()
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  vectordb = Chroma.from_documents(documents=texts,embedding=embeddings)
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+ llm = HuggingFaceHub(repo_id="google/flan-t5-small", model_kwargs={"temperature":0,"max_length":200}, huggingfacehub_api_token="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") # type: ignore
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  qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff",retriever=vectordb.as_retriever(search_type="mmr", search_kwargs={'fetch_k': 30}), return_source_documents=True)
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  query = st.text_input("Ask a question: ")
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  qa(inputs=query,return_only_outputs=True)