bps-school-chatbot / config.py
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import os
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
# Define the model you want to use
BASE_MODEL = "openlm-research/open_llama_3b"
# Other model options you can choose from:
# BASE_MODEL = "meta-llama/Llama-2-7b-chat-hf"
# BASE_MODEL = "HuggingFaceH4/zephyr-7b-beta"
# If you've fine-tuned the model, use the following line:
# MY_MODEL = "your-username/your-model-name" (replace with your model's Hugging Face ID)
MY_MODEL = None
# Load the Hugging Face token from the environment variable
HF_TOKEN = os.getenv("HF_TOKEN")
# Check if the token is loaded properly
if HF_TOKEN is None:
print("Error: HF_TOKEN is not set. Please check your .env file.")
else:
print("Hugging Face token loaded successfully.")