utils/data_loader.py

# from datasets import load_dataset

# print("Loading dataset and indexing FAISS...")  # Optional: for debugging

# dataset = load_dataset("subashdvorak/tiktok-formatted-story-v2", revision="embedded")
# data = dataset['train'].add_faiss_index('embeddings')

def load_influencer_data():
    return ""