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Update app.py
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app.py
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import os
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from dotenv import load_dotenv
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import tempfile
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import streamlit as st
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from
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load_dotenv()
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def main():
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st.sidebar.title("PDF Management")
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uploaded_files = st.sidebar.file_uploader("Upload PDF files", type=["pdf"], accept_multiple_files=True)
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embed_documents(files_info)
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def save_uploaded_files(uploaded_files):
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"""Save uploaded files to temporary directory and return their file paths along with original filenames."""
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files_info = []
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for uploaded_file in uploaded_files:
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# Create a temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as tmpfile:
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# Write contents of the uploaded file to the temporary file
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tmpfile.write(uploaded_file.getvalue())
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# Append both the temp file path and the original name
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files_info.append((tmpfile.name, uploaded_file.name))
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return files_info
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"
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if summarize_button:
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for temp_path, original_name in files_info:
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for temp_path, original_name in files_info:
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if not is_document_embedded(original_name):
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try:
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st.success(f"Embedded {original_name}")
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except Exception as e:
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st.error(f"Failed to embed {original_name}: {str(e)}")
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else:
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st.info(f"{original_name} is already embedded.")
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def display_qna_section(files_info):
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"""Display Q&A section."""
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st.header("Question and Answer")
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with st.form("qa_form"):
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user_query = st.text_input("Enter your question here:")
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submit_button = st.form_submit_button('Get Answer')
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if submit_button and user_query:
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answer = handle_query(user_query)
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st.write(answer)
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elif submit_button and not user_query:
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st.error("Please enter a question to get an answer.")
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def handle_query(query):
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"""Retrieve answers based on the query."""
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if __name__ == "__main__":
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main()
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import os
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import tempfile
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import streamlit as st
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from dotenv import load_dotenv
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from main import (
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load_and_split_documents, summarize_documents, embed_documents_into_qdrant,
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retrieve_documents, is_document_embedded, load_documents, split_documents,
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update_metadata, load_documents_OCR
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)
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load_dotenv()
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def main():
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st.sidebar.title("PDF Management")
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uploaded_files = st.sidebar.file_uploader("Upload PDF files", type=["pdf"], accept_multiple_files=True)
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model_name = st.sidebar.selectbox("Choose your model:", ["gpt-3.5-turbo", "gpt-4-turbo"]) # Model selection
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use_ocr = st.sidebar.checkbox("Use OCR for document processing")
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if st.sidebar.button('Add Uploaded Documents in Q&A'):
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if uploaded_files:
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files_info = save_uploaded_files(uploaded_files)
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embed_documents(files_info, model_name, use_ocr)
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pages = {
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"Lex Document Summarization": page_summarization,
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"Lex Q&A": page_qna
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}
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st.sidebar.title("Page Navigation")
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page = st.sidebar.radio("Select a page", tuple(pages.keys()))
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# Initialize session state for summarization results if not already set
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if 'summaries' not in st.session_state:
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st.session_state['summaries'] = {}
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# Call the page function based on the user selection
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if page:
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pages[page](uploaded_files, model_name, use_ocr)
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def save_uploaded_files(uploaded_files):
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"""Save uploaded files to temporary directory and return their file paths along with original filenames."""
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files_info = []
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for uploaded_file in uploaded_files:
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with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as tmpfile:
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tmpfile.write(uploaded_file.getvalue())
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files_info.append((tmpfile.name, uploaded_file.name))
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return files_info
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def page_summarization(uploaded_files, model_name, use_ocr):
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"""Page for document summarization."""
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st.title("Lex Document Summarization")
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if uploaded_files:
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files_info = save_uploaded_files(uploaded_files)
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for temp_path, original_name in files_info:
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summary_button = st.button(f"Summarize {original_name}", key=original_name)
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if summary_button or (original_name in st.session_state['summaries']):
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with st.container():
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st.write(f"Summary for {original_name}:")
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if summary_button: # Only summarize if button is pressed
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try:
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if use_ocr:
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documents = load_documents_OCR(temp_path, os.getenv('UNSTRUCTURED_API'))
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else:
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documents = load_and_split_documents(temp_path)
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summary = summarize_documents(model_name, documents, os.getenv('OPENAI_API_KEY'))
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st.session_state['summaries'][original_name] = summary # Store summary in session state
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except Exception as e:
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st.error(f"Failed to summarize {original_name}: {str(e)}")
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st.text_area("", value=st.session_state['summaries'][original_name], height=200, key=f"summary_{original_name}")
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def page_qna(uploaded_files, model_name, use_ocr):
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"""Page for Q&A functionality."""
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st.title("Lex Question and Answer")
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user_query = st.text_area("Enter your question here:",height=300)
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if st.button('Get Answer'):
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if user_query:
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answer = handle_query(user_query, model_name)
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st.write(answer)
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else:
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st.error("Please enter a question to get an answer.")
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def embed_documents(files_info, model_name, use_ocr):
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"""Function to embed documents."""
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for temp_path, original_name in files_info:
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if not is_document_embedded(original_name):
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try:
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if use_ocr:
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documents = load_documents_OCR(temp_path, os.getenv('UNSTRUCTURED_API'))
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else:
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documents = load_documents(temp_path)
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documents = update_metadata(documents, original_name)
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documents = split_documents(documents)
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if documents:
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embed_documents_into_qdrant(documents, os.getenv('OPENAI_API_KEY'), os.getenv('QDRANT_URL'), os.getenv('QDRANT_API_KEY'), 'Lex-v1')
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st.success(f"Embedded {original_name}")
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else:
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st.error(f"No documents found or extracted from {original_name}")
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except Exception as e:
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st.error(f"Failed to embed {original_name}: {str(e)}")
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else:
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st.info(f"{original_name} is already embedded.")
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def handle_query(query, model_name):
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"""Retrieve answers based on the query."""
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try:
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answer = retrieve_documents(query, os.getenv('OPENAI_API_KEY'), os.getenv('QDRANT_URL'), os.getenv('QDRANT_API_KEY'), model_name)
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return answer or "No relevant answer found."
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except Exception as e:
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return f"Error processing the query: {str(e)}"
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if __name__ == "__main__":
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main()
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