MarcoParola commited on
Commit
ce91e2d
·
1 Parent(s): b380276

update key for hf token and fix method not found

Browse files
Files changed (1) hide show
  1. app.py +4 -6
app.py CHANGED
@@ -15,7 +15,7 @@ from datetime import datetime
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  from pathlib import Path
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  from uuid import uuid4
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  import json
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- from huggingface_hub import CommitScheduler, HfApi
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  def main():
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  config = yaml.safe_load(open("config/config.yaml"))
@@ -135,14 +135,12 @@ def main():
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  def redirect():
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  pass
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  def save_results(answers):
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- api = HfApi()
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  api_token = os.getenv("HUGGINGFACE_TOKEN")
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  if not api_token:
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  raise ValueError("Hugging Face API token not found. Please set the HF_API_TOKEN environment variable.")
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- api.set_access_token(api_token)
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-
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  json_file_results = config['results']['exp1_dir'] # 'exp1'
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  JSON_DATASET_DIR = Path("json_dataset")
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  JSON_DATASET_DIR.mkdir(parents=True, exist_ok=True)
@@ -151,7 +149,8 @@ def main():
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  repo_id="example-space-to-dataset-json",
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  repo_type="dataset",
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  folder_path=JSON_DATASET_DIR,
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- path_in_repo="data"
 
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  )
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  info_to_push = {
@@ -169,7 +168,6 @@ def main():
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  }, f)
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  f.write("\n")
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  scheduler.push_to_hub()
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-
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  def add_answer(dropdown1,dropdown2,dropdown3,dropdown4, answers):
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  rank = [dropdown1,dropdown2,dropdown3,dropdown4]
 
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  from pathlib import Path
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  from uuid import uuid4
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  import json
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+ from huggingface_hub import CommitScheduler
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  def main():
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  config = yaml.safe_load(open("config/config.yaml"))
 
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  def redirect():
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  pass
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+
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  def save_results(answers):
 
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  api_token = os.getenv("HUGGINGFACE_TOKEN")
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  if not api_token:
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  raise ValueError("Hugging Face API token not found. Please set the HF_API_TOKEN environment variable.")
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  json_file_results = config['results']['exp1_dir'] # 'exp1'
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  JSON_DATASET_DIR = Path("json_dataset")
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  JSON_DATASET_DIR.mkdir(parents=True, exist_ok=True)
 
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  repo_id="example-space-to-dataset-json",
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  repo_type="dataset",
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  folder_path=JSON_DATASET_DIR,
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+ path_in_repo="data",
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+ token=api_token # Pass the token here
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  )
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  info_to_push = {
 
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  }, f)
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  f.write("\n")
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  scheduler.push_to_hub()
 
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  def add_answer(dropdown1,dropdown2,dropdown3,dropdown4, answers):
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  rank = [dropdown1,dropdown2,dropdown3,dropdown4]