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Update app.py
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app.py
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@@ -9,9 +9,10 @@ from langchain.prompts.prompt import PromptTemplate
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from langchain.embeddings import HuggingFaceEmbeddings
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import json
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import hashlib
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# Initialize the storage directories if they don't exist
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model_name = "intfloat/e5-large-v2"
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model_kwargs = {'device': '
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encode_kwargs = {'normalize_embeddings': False}
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embeddings = HuggingFaceEmbeddings(
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model_name=model_name,
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@@ -73,13 +74,14 @@ def save_metadata(metadata, metadata_dir):
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json.dump(metadata, f, indent=4)
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#Add a new entry to the metadata
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def add_metadata(file_path, title, author, year, publisher, DOI,page,volume,issue):
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metadata = load_metadata(st.session_state['metadata_dir'])
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metadata_dir = st.session_state['metadata_dir']
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metadata[file_path] = {
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'title': title,
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'author': author,
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'year': year,
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'publisher': publisher,
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'DOI': DOI,
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'page':page,
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@@ -112,6 +114,7 @@ def edit_metadata_of_selected_pdf(metadata):
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edited_volume = st.text_input('volume', value=data['volume'])
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with col2:
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edited_publisher = st.text_input('Publisher', value=data['publisher'])
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edited_DOI = st.text_input('DOI', value=data['DOI'])
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edited_page = st.text_input('Page', value=data['page'])
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@@ -126,6 +129,7 @@ def edit_metadata_of_selected_pdf(metadata):
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'title': edited_title,
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'author': edited_author,
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'year': edited_year,
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'publisher': edited_publisher,
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'DOI': edited_DOI,
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'page': edited_page,
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@@ -140,13 +144,15 @@ def edit_metadata_of_selected_pdf(metadata):
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# Function to delete selected PDF and its metadata
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def delete_pdf_and_metadata(metadata):
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# Use a select box for users to choose a PDF to delete
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file_names = list(metadata.keys())
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if not file_names:
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st.write("No PDFs available to delete.")
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return
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selected_file_to_delete = st.selectbox('Select a PDF file to delete', file_names)
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# Button to delete the PDF and its metadata
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if st.button(f"Delete '{selected_file_to_delete}' and its metadata"):
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# Delete the PDF file
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@@ -154,10 +160,10 @@ def delete_pdf_and_metadata(metadata):
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# Delete the metadata entry
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del metadata[selected_file_to_delete]
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save_metadata(metadata)
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# Update the display
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st.experimental_rerun()
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def generate_response(input_text,openai_api_key):
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db = FAISS.load_local(st.session_state['embed_dir'], embeddings)
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@@ -172,14 +178,14 @@ def generate_response(input_text,openai_api_key):
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{context}
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Question: {question}
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use metadata in the "metadata" html block to create APA style references and list them in
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<metadata>
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{source1},{source2},{source3},{source4},{source5}
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<metadata/>
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make sure to add references
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format the answer in
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"""
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QA_PROMPT = PromptTemplate(input_variables=["question", "context"],
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@@ -233,6 +239,20 @@ def init_user_assets(username):
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os.makedirs(embed_dir)
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return assets_dir, pdf_dir, metadata_dir, embed_dir
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# Main App
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def main():
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st.title('LLM powered paper management system')
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@@ -285,24 +305,33 @@ def main():
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if uploaded_file is not None:
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# Save file
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file_path = os.path.join(st.session_state['pdf_dir'], uploaded_file.name)
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with open(file_path, "wb") as f:
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f.write(uploaded_file.getbuffer())
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# Collect metadata
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with st.form(key=uploaded_file.name):
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st.write("Metadata for:", uploaded_file.name)
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submitted = st.form_submit_button('Save Metadata')
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if submitted:
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add_metadata(file_path, title, author, year, publisher, DOI,page,volume,issue)
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st.success('Metadata saved!')
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with tab2:
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@@ -338,6 +367,7 @@ def main():
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"title": corresponding_metadata["title"],
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"author": corresponding_metadata["author"],
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"year": corresponding_metadata["year"],
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"publisher": corresponding_metadata["publisher"],
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"DOI": corresponding_metadata["DOI"],
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"page": corresponding_metadata["page"],
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from langchain.embeddings import HuggingFaceEmbeddings
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import json
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import hashlib
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import pdf2bib
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# Initialize the storage directories if they don't exist
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model_name = "intfloat/e5-large-v2"
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model_kwargs = {'device': 'cuda'}
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encode_kwargs = {'normalize_embeddings': False}
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embeddings = HuggingFaceEmbeddings(
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model_name=model_name,
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json.dump(metadata, f, indent=4)
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#Add a new entry to the metadata
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def add_metadata(file_path, title, author, year,journal, publisher, DOI,page,volume,issue):
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metadata = load_metadata(st.session_state['metadata_dir'])
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metadata_dir = st.session_state['metadata_dir']
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metadata[file_path] = {
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'title': title,
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'author': author,
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'year': year,
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'journal': journal,
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'publisher': publisher,
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'DOI': DOI,
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'page':page,
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edited_volume = st.text_input('volume', value=data['volume'])
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with col2:
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edited_journal = st.text_input('journal', value=data['journal'])
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edited_publisher = st.text_input('Publisher', value=data['publisher'])
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edited_DOI = st.text_input('DOI', value=data['DOI'])
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edited_page = st.text_input('Page', value=data['page'])
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'title': edited_title,
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'author': edited_author,
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'year': edited_year,
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'journal': edited_journal,
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'publisher': edited_publisher,
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'DOI': edited_DOI,
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'page': edited_page,
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# Function to delete selected PDF and its metadata
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def delete_pdf_and_metadata(metadata):
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# Use a select box for users to choose a PDF to delete
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metadata_dir = st.session_state['metadata_dir']
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st.write(list(metadata.keys()))
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file_names = list(metadata.keys())
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if not file_names:
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st.write("No PDFs available to delete.")
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return
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selected_file_to_delete = st.selectbox('Select a PDF file to delete', file_names)
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st.write(selected_file_to_delete)
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# Button to delete the PDF and its metadata
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if st.button(f"Delete '{selected_file_to_delete}' and its metadata"):
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# Delete the PDF file
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# Delete the metadata entry
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del metadata[selected_file_to_delete]
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save_metadata(metadata, metadata_dir)
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# Update the display
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#st.experimental_rerun()
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def generate_response(input_text,openai_api_key):
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db = FAISS.load_local(st.session_state['embed_dir'], embeddings)
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{context}
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Question: {question}
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use metadata in the "metadata" html block to create APA style references and list them in a reference section:
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<metadata>
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{source1},{source2},{source3},{source4},{source5}
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<metadata/>
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make sure to add references
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format the answer in markdown format
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"""
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QA_PROMPT = PromptTemplate(input_variables=["question", "context"],
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os.makedirs(embed_dir)
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return assets_dir, pdf_dir, metadata_dir, embed_dir
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def all_author_names(data):
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author_full_names = []
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authors_string =[]
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# Iterate over each author in the author list
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for author in data["author"]:
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# Combine given and family names
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full_name = f"{author['family']},{author['given']}"
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author_full_names.append(full_name)
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# Join the list of author names into a single string separated by commas
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authors_string = "; ".join(author_full_names)
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return authors_string
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# Main App
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def main():
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st.title('LLM powered paper management system')
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if uploaded_file is not None:
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# Save file
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file_path = os.path.join(st.session_state['pdf_dir'], uploaded_file.name)
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with open(file_path, "wb") as f:
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f.write(uploaded_file.getbuffer())
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pdfextractdata = pdf2bib.pdf2bib(file_path)
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#st.write(pdfextractdata['metadata'])
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# Collect metadata
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with st.form(key=uploaded_file.name):
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st.write("Metadata for:", uploaded_file.name)
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col1, col2, col3 = st.columns(3)
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with col1:
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title = st.text_input('Title', key=f'title_{uploaded_file.name}', value=pdfextractdata['metadata'].get('title', ''))
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year = st.text_input('Published Year', key=f'year_{uploaded_file.name}', value=pdfextractdata['metadata'].get('year', ''))
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volume = st.text_input('Volume', key=f'volume_{uploaded_file.name}', value=pdfextractdata['metadata'].get('volume', ''))
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with col2:
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author = st.text_input('Author', key=f'author_{uploaded_file.name}', value=all_author_names(pdfextractdata['metadata']))
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journal = st.text_input('Journal', key=f'journal_{uploaded_file.name}', value=pdfextractdata['metadata'].get('journal', ''))
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issue = st.text_input('Issue', key=f'issue_{uploaded_file.name}', value=pdfextractdata['metadata'].get('issue', ''))
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with col3:
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publisher = st.text_input('Publisher', key=f'publisher_{uploaded_file.name}', value=pdfextractdata['metadata'].get('publisher', ''))
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DOI = st.text_input('DOI', key=f'DOI_{uploaded_file.name}', value=pdfextractdata['metadata'].get('doi', ''))
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page = st.text_input('Pages', key=f'page_{uploaded_file.name}', value=pdfextractdata['metadata'].get('page', ''))
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submitted = st.form_submit_button('Save Metadata')
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if submitted:
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add_metadata(file_path, title, author, year, journal,publisher, DOI,page,volume,issue)
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st.success('Metadata saved!')
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with tab2:
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"title": corresponding_metadata["title"],
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"author": corresponding_metadata["author"],
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"year": corresponding_metadata["year"],
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"journal": corresponding_metadata["journal"],
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"publisher": corresponding_metadata["publisher"],
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"DOI": corresponding_metadata["DOI"],
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"page": corresponding_metadata["page"],
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