tony346 commited on
Commit
e541bfb
1 Parent(s): f81421e

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -15,7 +15,7 @@ from langchain.llms import HuggingFaceHub
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  def get_pdf_text(pdf_docs):
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  text = ''
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  # pdf_file_ = open(pdf_docs,'rb')
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- # text = "example hojin"
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  pdf_reader = PdfReader(pdf_docs)
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  for page in pdf_reader.pages:
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  text += page.extract_text()
@@ -32,7 +32,7 @@ def get_text_chunks(text):
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  )
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  # text_splitter = CharacterTextSplitter(
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  # separator="\n",
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- # chunk_size=1000,
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  # chunk_overlap=200,
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  # length_function=len
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  # )
@@ -105,7 +105,7 @@ def get_json_file(docs):
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  # with open(docs, 'r') as f:
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  json_data = json.load(docs)
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- for f_key, f_value in json_data.items():
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  for s_value in f_value:
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  text += str(f_key) + str(s_value)
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  text += '\n'
@@ -139,8 +139,8 @@ def main():
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  st.subheader("Your documents")
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  docs = st.file_uploader(
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  "Upload your PDFs here and click on 'Process'", accept_multiple_files=True)
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- if st.button("Process"):
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- with st.spinner("Processing"):f
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  # get pdf text
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  raw_text = ""
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@@ -171,7 +171,7 @@ def main():
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  # create vector store
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  vectorstore = get_vectorstore(text_chunks)
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-
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  # create conversation chain
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  st.session_state.conversation = get_conversation_chain(
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  vectorstore)
 
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  def get_pdf_text(pdf_docs):
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  text = ''
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  # pdf_file_ = open(pdf_docs,'rb')
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+ # text = "example hofjin"
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  pdf_reader = PdfReader(pdf_docs)
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  for page in pdf_reader.pages:
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  text += page.extract_text()
 
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  )
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  # text_splitter = CharacterTextSplitter(
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  # separator="\n",
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+ # chunk_size=10f00,
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  # chunk_overlap=200,
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  # length_function=len
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  # )
 
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  # with open(docs, 'r') as f:
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  json_data = json.load(docs)
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+ f for f_key, f_value in json_data.items():
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  for s_value in f_value:
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  text += str(f_key) + str(s_value)
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  text += '\n'
 
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  st.subheader("Your documents")
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  docs = st.file_uploader(
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  "Upload your PDFs here and click on 'Process'", accept_multiple_files=True)
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+ if st.button("Process"):f
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+ with st.spinner("Processing"):
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  # get pdf text
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  raw_text = ""
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  # create vector store
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  vectorstore = get_vectorstore(text_chunks)
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+ f
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  # create conversation chain
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  st.session_state.conversation = get_conversation_chain(
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  vectorstore)