DevBM commited on
Commit
a88e67a
·
verified ·
1 Parent(s): 60d4e94

Link Caching and Moving Download to Sidebar

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Files changed (1) hide show
  1. app.py +8 -16
app.py CHANGED
@@ -20,7 +20,6 @@ nlp = spacy.load("en_core_web_sm")
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  user_agent = 'QGen/1.0 ([email protected])'
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  wiki_wiki = wikipediaapi.Wikipedia(user_agent= user_agent,language='en')
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-
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  model = None
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  tokenizer = None
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  def load_model():
@@ -71,6 +70,7 @@ def map_keywords_to_sentences(text, keywords, context_window_size):
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  return keyword_sentence_mapping
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  # Function to perform entity linking using Wikipedia API
 
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  def entity_linking(keyword):
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  page = wiki_wiki.page(keyword)
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  if page.exists():
@@ -78,7 +78,7 @@ def entity_linking(keyword):
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  return None
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  # Function to generate questions using beam search
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- def generate_question(context, answer, num_beams=5):
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  input_text = f"<context> {context} <answer> {answer}"
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  input_ids = tokenizer.encode(input_text, return_tensors='pt')
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  outputs = model.generate(input_ids, num_beams=num_beams, early_stopping=True)
@@ -140,21 +140,13 @@ if st.button("Generate Questions"):
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  # Export buttons
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  if data is not None:
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- # if st.button("Export to CSV"):
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- # if downlaod_csv:
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- # csv_data = export_to_csv(data)
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- # st.success("Questions exported to questions.csv")
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- # st.download_button(label="Download CSV", data=csv_data, file_name='questions.csv', mime='text/csv')
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- csv_data = export_to_csv(data)
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- st.download_button(label="Download CSV", data=csv_data, file_name='questions.csv', mime='text/csv')
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- # if st.button("Export to PDF"):
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- # if download_pdf:
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- # pdf_data = export_to_pdf(data)
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- # st.success("Questions exported to questions.pdf")
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- # st.download_button(label="Download PDF", data=pdf_data, file_name='questions.pdf', mime='application/pdf')
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- pdf_data = export_to_pdf(data)
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- st.download_button(label="Download PDF", data=pdf_data, file_name='questions.pdf', mime='application/pdf')
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  else:
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  st.write("Please enter some text to generate questions.")
 
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  user_agent = 'QGen/1.0 ([email protected])'
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  wiki_wiki = wikipediaapi.Wikipedia(user_agent= user_agent,language='en')
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  model = None
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  tokenizer = None
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  def load_model():
 
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  return keyword_sentence_mapping
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  # Function to perform entity linking using Wikipedia API
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+ @lru_cache(maxsize=128)
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  def entity_linking(keyword):
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  page = wiki_wiki.page(keyword)
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  if page.exists():
 
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  return None
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  # Function to generate questions using beam search
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+ def generate_question(context, answer, num_beams):
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  input_text = f"<context> {context} <answer> {answer}"
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  input_ids = tokenizer.encode(input_text, return_tensors='pt')
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  outputs = model.generate(input_ids, num_beams=num_beams, early_stopping=True)
 
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  # Export buttons
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  if data is not None:
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+ with st.sidebar:
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+ st.subheader('Download Content')
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+ csv_data = export_to_csv(data)
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+ st.download_button(label="CSV Format", data=csv_data, file_name='questions.csv', mime='text/csv')
 
 
 
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+ pdf_data = export_to_pdf(data)
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+ st.download_button(label="PDF Format", data=pdf_data, file_name='questions.pdf', mime='application/pdf')
 
 
 
 
 
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  else:
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  st.write("Please enter some text to generate questions.")