kpal002 commited on
Commit
aa009c6
1 Parent(s): 0ad311a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -3
app.py CHANGED
@@ -168,11 +168,9 @@ def process_pdf(uploaded_files, llm_model, n_criteria = num_criteria):
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  else:
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  raise ValueError(f"Unsupported embedding model: {embed_model}")
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-
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  except Exception as e:
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  logger.error(f"Error initializing embedding model: {e}", exc_info=True)
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  raise
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-
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  peer_review_journals = utils.read_from_file(peer_review_journals_path)
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  eq_network_journals = utils.read_from_file(eq_network_journals_path)
@@ -222,7 +220,7 @@ def process_pdf(uploaded_files, llm_model, n_criteria = num_criteria):
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  #return str(round((total_score / n_criteria) * 100)) + "/100", score_bar_html, reasoning_html, author_info_html, title_info_html
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- # def process_and_generate_reports(uploaded_files, llm_model):
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  # Process files and generate reports as before
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  # For demonstration, let's assume we generate dummy report paths
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  generated_reports = []
 
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  else:
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  raise ValueError(f"Unsupported embedding model: {embed_model}")
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  except Exception as e:
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  logger.error(f"Error initializing embedding model: {e}", exc_info=True)
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  raise
 
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  peer_review_journals = utils.read_from_file(peer_review_journals_path)
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  eq_network_journals = utils.read_from_file(eq_network_journals_path)
 
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  #return str(round((total_score / n_criteria) * 100)) + "/100", score_bar_html, reasoning_html, author_info_html, title_info_html
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+ def process_and_generate_reports(uploaded_files, llm_model):
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  # Process files and generate reports as before
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  # For demonstration, let's assume we generate dummy report paths
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  generated_reports = []