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import os | |
from pathlib import Path | |
from urllib.request import urlretrieve | |
import streamlit as st | |
HOME_DIR = Path.home() | |
APP_CACHE = HOME_DIR / "olmo_demo" | |
OLMO_MODEL_FILE = os.environ.get("OLMO_MODEL_FILE", "OLMo-7B-Instruct-Q4_K_M.gguf") | |
OLMO_MODEL = APP_CACHE / OLMO_MODEL_FILE | |
def download_olmo_model(model_file: str | None = None, force=False) -> Path: | |
if not OLMO_MODEL.exists() or force: | |
if model_file is None: | |
model_file = OLMO_MODEL_FILE | |
olmo_model = OLMO_MODEL | |
else: | |
olmo_model = APP_CACHE / model_file | |
olmo_model_url = f"https://huggingface.co/ssec-uw/OLMo-7B-Instruct-GGUF/resolve/main/{model_file}" | |
st.info(f"Downloading model from {olmo_model_url} to {olmo_model}") | |
try: | |
APP_CACHE.mkdir(parents=True, exist_ok=True) | |
urlretrieve(olmo_model_url, olmo_model) | |
st.success("Download complete!") | |
except Exception as e: | |
st.error(f"Failed to download model: {str(e)}") | |
raise | |
return olmo_model | |
else: | |
st.info(f"Model already exists at {OLMO_MODEL}") | |
return OLMO_MODEL | |
if __name__ == "__main__": | |
download_olmo_model() |