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7793b7f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | from huggingface_hub import HfApi
import os
import pandas as pd
# creating bulk test data and saving locally
# Define sample bulk data
bulk_data = [
[35,"Self Enquiry",2,15.0,"Salaried","Male",2,3,"Deluxe",4,"Married",2,1,3.0,1,0,"Manager",15000,45.0],
[50,"Company Invited",3,30.0,"Large Business","Female",1,1,"Standard",5,"Single",5,1,4.5,0,1,"VP",35000,135.0],
[28,"Self Enquiry",1,10.0,"Small Business","Male",3,0,"Basic",3,"Unmarried",1,0,2.0,1,2,"Executive",12000,20.0]
]
columns = [
'Age','TypeofContact','CityTier','DurationOfPitch','Occupation','Gender',
'NumberOfPersonVisiting','NumberOfFollowups','ProductPitched','PreferredPropertyStar',
'MaritalStatus','NumberOfTrips','Passport','PitchSatisfactionScore','OwnCar',
'NumberOfChildrenVisiting','Designation','MonthlyIncome','PitchEfficiency'
]
df_bulk = pd.DataFrame(bulk_data, columns=columns)
# Save locally
local_path = "tourism_project/data/bulk_test_sample.csv"
df_bulk.to_csv(local_path, index=False)
print(f"Bulk CSV saved locally at {local_path}")
# Get access token from local
HF_TOKEN = os.getenv("HF_TOKEN")
if HF_TOKEN:
HF_TOKEN = HF_TOKEN.strip()
else:
raise EnvironmentError("HF_TOKEN not set!")
DATA_REPO_ID = "simnid/wellness-tourism-dataset"
BULK_CSV_PATH = "tourism_project/data/bulk_test_sample.csv"
BULK_FILENAME = "bulk_test_sample.csv"
api = HfApi(token=HF_TOKEN)
# Upload CSV
api.upload_file(
path_or_fileobj=BULK_CSV_PATH,
path_in_repo=BULK_FILENAME,
repo_id=DATA_REPO_ID,
repo_type="dataset",
token=HF_TOKEN
)
print(f"Bulk CSV uploaded to Hugging Face dataset repo: {DATA_REPO_ID}/{BULK_FILENAME}")
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