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Update app.py
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app.py
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@@ -4,16 +4,14 @@ import uuid
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import streamlit as st
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from dotenv import load_dotenv
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from qdrant_client import models
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from langchain_community.vectorstores import Qdrant
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from utils import setup_openai_embeddings,setup_qdrant_client,delete_collection,is_document_embedded
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from embed import embed_documents_into_qdrant
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from preprocess import split_documents,update_metadata,load_documents_OCR
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from retrieve import retrieve_documents,retrieve_documents_from_collection
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from summarize import summarize_documents
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load_dotenv()
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def main():
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@@ -23,6 +21,12 @@ def main():
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if 'uploaded_collection_name' not in st.session_state:
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st.session_state['uploaded_collection_name'] = None
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if uploaded_files:
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if st.sidebar.button("Add Docs to Data Bank"):
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files_info = save_uploaded_files(uploaded_files)
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@@ -34,7 +38,7 @@ def main():
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pages = {
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"Lex Document Summarization": page_summarization,
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"Chat with
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"Chat with Uploaded Docs": page_chat_with_uploaded_docs
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}
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@@ -75,7 +79,10 @@ def page_summarization(uploaded_files):
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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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def page_qna(uploaded_files):
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"""Page for Q&A functionality."""
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@@ -84,10 +91,14 @@ def page_qna(uploaded_files):
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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)
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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 page_chat_with_uploaded_docs(uploaded_files):
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"""Page for chatting with uploaded documents."""
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st.title("Chat with Uploaded Documents")
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@@ -95,9 +106,13 @@ def page_chat_with_uploaded_docs(uploaded_files):
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if st.button('Get Answer'):
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if user_query:
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answer = handle_uploaded_docs_query(user_query, st.session_state['uploaded_collection_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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if st.session_state['uploaded_collection_name']:
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if st.button('Delete Embedded Collection'):
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@@ -179,4 +194,4 @@ def delete_collection(collection_name, qdrant_url, qdrant_api_key):
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print("Failed to delete collection:", e)
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if __name__ == "__main__":
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main()
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import streamlit as st
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from dotenv import load_dotenv
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from qdrant_client import models
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from utils import setup_openai_embeddings, setup_qdrant_client, delete_collection, is_document_embedded
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from embed import embed_documents_into_qdrant
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from preprocess import split_documents, update_metadata, load_documents_OCR
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from retrieve import retrieve_documents, retrieve_documents_from_collection
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from summarize import summarize_documents
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# Load environment variables
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load_dotenv()
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def main():
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if 'uploaded_collection_name' not in st.session_state:
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st.session_state['uploaded_collection_name'] = None
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# Initialize session state for storing answers if not already set
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if 'data_bank_answer' not in st.session_state:
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st.session_state['data_bank_answer'] = None
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if 'uploaded_docs_answer' not in st.session_state:
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st.session_state['uploaded_docs_answer'] = None
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if uploaded_files:
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if st.sidebar.button("Add Docs to Data Bank"):
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files_info = save_uploaded_files(uploaded_files)
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pages = {
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"Lex Document Summarization": page_summarization,
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"Chat with Data Bank": page_qna,
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"Chat with Uploaded Docs": page_chat_with_uploaded_docs
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}
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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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if original_name in st.session_state['summaries']:
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st.text_area("", value=st.session_state['summaries'][original_name], height=1000, key=f"summary_{original_name}")
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else:
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st.error(f"No summary found for {original_name}. Please click the summarize button.")
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def page_qna(uploaded_files):
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"""Page for Q&A functionality."""
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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)
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st.session_state['data_bank_answer'] = answer # Store the answer in session state
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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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# Display stored answer if it exists
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if st.session_state['data_bank_answer']:
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st.write(st.session_state['data_bank_answer'])
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def page_chat_with_uploaded_docs(uploaded_files):
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"""Page for chatting with uploaded documents."""
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st.title("Chat with Uploaded Documents")
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if st.button('Get Answer'):
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if user_query:
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answer = handle_uploaded_docs_query(user_query, st.session_state['uploaded_collection_name'])
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st.session_state['uploaded_docs_answer'] = answer # Store the answer in session state
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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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# Display stored answer if it exists
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if st.session_state['uploaded_docs_answer']:
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st.write(st.session_state['uploaded_docs_answer'])
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if st.session_state['uploaded_collection_name']:
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if st.button('Delete Embedded Collection'):
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print("Failed to delete collection:", e)
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if __name__ == "__main__":
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main()
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