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fef7bd8
1 Parent(s): 3049f57

Upload folder using huggingface_hub

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Files changed (3) hide show
  1. app.py +4 -4
  2. models.py +4 -4
  3. utils.py +3 -0
app.py CHANGED
@@ -20,10 +20,10 @@ setup_logging()
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  paper_dir = 'path_to_temp_storage'
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  prompt_dir = 'iclr2024'
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  api_keys = {
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- 'openai_api_key': os.environ.get('openai_api_key'),
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- 'claude_api_key': os.environ.get('anthropic_api_key'),
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- 'gemini_api_key': os.environ.get('gemini_api_key'),
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- 'commandr_api_key': os.environ.get('commandr_api_key')
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  }
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  use_real_api = True
 
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  paper_dir = 'path_to_temp_storage'
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  prompt_dir = 'iclr2024'
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  api_keys = {
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+ 'openai_api_key': os.environ.get('OPENAI_API_KEY'),
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+ 'claude_api_key': os.environ.get('ANTHROPIC_API_KEY'),
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+ 'gemini_api_key': os.environ.get('GEMINI_API_KEY'),
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+ 'commandr_api_key': os.environ.get('COMMANDR_API_KEY')
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  }
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  use_real_api = True
models.py CHANGED
@@ -22,10 +22,10 @@ class PaperProcessor:
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  def __init__(self, prompt_dir, model, openai_api_key, claude_api_key, gemini_api_key, commandr_api_key):
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  self.prompt_dir = prompt_dir
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  self.model = model
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- self.openai_api_key = openai_api_key
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- self.claude_api_key = claude_api_key
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- self.gemini_api_key = gemini_api_key
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- self.commandr_api_key = commandr_api_key
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  def count_tokens(self, text):
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  return len(self.encoding.encode(text))
 
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  def __init__(self, prompt_dir, model, openai_api_key, claude_api_key, gemini_api_key, commandr_api_key):
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  self.prompt_dir = prompt_dir
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  self.model = model
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+ self.openai_api_key = os.environ.get('OPENAI_API_KEY')
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+ self.claude_api_key = os.environ.get('ANTHROPIC_API_KEY')
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+ self.gemini_api_key = os.environ.get('GEMINI_API_KEY')
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+ self.commandr_api_key = os.environ.get('COMMANDR_API_KEY')
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  def count_tokens(self, text):
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  return len(self.encoding.encode(text))
utils.py CHANGED
@@ -37,6 +37,9 @@ def process_paper(pdf_file, paper_dir, prompt_dir, api_keys):
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  models = ['gpt-4-turbo-2024-04-09', 'gpt-4o', 'claude-3-opus-20240229', 'gemini-pro', 'command-r-plus']
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  selected_models = random.sample(models, 2)
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  reviews = []
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  def process_with_model(model):
 
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  models = ['gpt-4-turbo-2024-04-09', 'gpt-4o', 'claude-3-opus-20240229', 'gemini-pro', 'command-r-plus']
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  selected_models = random.sample(models, 2)
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+ # REPLACE ONE OF THE MODELS WITH command-r-plus
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+ # selected_models = ['gpt-4o', 'command-r-plus']
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+
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  reviews = []
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  def process_with_model(model):