Spaces:
Running
Running
Space: auto-download model from HF model repo
Browse files- app.py +28 -4
- requirements.txt +1 -0
- upload_model_to_hf_model.sh +27 -0
app.py
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@@ -50,15 +50,39 @@ NUM_PAIRS = None
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BATCH_RESULTS = None
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BATCH_SHAP_CACHE = {}
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def load_pretrained_model():
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"""Load the pre-trained model once at startup."""
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global MODEL, MODEL_PARAMS, DEVICE, PAIR_TO_INDEX, NUM_PAIRS
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model_path =
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if not model_path.exists():
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raise FileNotFoundError(f"Model not found at {model_path}")
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DEVICE = get_device()
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PAIR_TO_INDEX = get_pair_to_index()
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BATCH_RESULTS = None
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BATCH_SHAP_CACHE = {}
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MODEL_FILENAME = "pairwise_onehot_model_20260105_200141.pt"
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MODEL_REPO_ID = os.getenv("MIRBIND2_MODEL_REPO", "dimostzim/mirbind2-weights")
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def resolve_model_path():
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"""Resolve model path locally, or download from Hugging Face Hub if missing."""
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local_model_path = Path(__file__).parent / "miRBind_2.0-main" / "models" / MODEL_FILENAME
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if local_model_path.exists():
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return local_model_path
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print(f"Local model not found at {local_model_path}")
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print(f"Downloading model from Hugging Face Hub repo: {MODEL_REPO_ID}")
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try:
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from huggingface_hub import hf_hub_download
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except ImportError as exc:
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raise FileNotFoundError(
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"Model file missing locally and huggingface_hub is not installed."
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) from exc
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downloaded_path = hf_hub_download(
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repo_id=MODEL_REPO_ID,
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filename=MODEL_FILENAME,
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repo_type="model",
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)
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return Path(downloaded_path)
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def load_pretrained_model():
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"""Load the pre-trained model once at startup."""
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global MODEL, MODEL_PARAMS, DEVICE, PAIR_TO_INDEX, NUM_PAIRS
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model_path = resolve_model_path()
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DEVICE = get_device()
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PAIR_TO_INDEX = get_pair_to_index()
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requirements.txt
CHANGED
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@@ -8,3 +8,4 @@ matplotlib>=3.7
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Pillow>=10.0
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captum>=0.7.0
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scikit-learn>=1.3.0
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Pillow>=10.0
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captum>=0.7.0
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scikit-learn>=1.3.0
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huggingface_hub>=0.30
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upload_model_to_hf_model.sh
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@@ -0,0 +1,27 @@
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#!/usr/bin/env bash
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set -euo pipefail
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# Upload miRBind2 model weights to a Hugging Face Model repo.
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# Usage:
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# ./upload_model_to_hf_model.sh
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# MODEL_REPO_ID=dimostzim/mirbind2-weights ./upload_model_to_hf_model.sh
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# ./upload_model_to_hf_model.sh /path/to/local.pt pairwise_onehot_model_20260105_200141.pt
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MODEL_REPO_ID="${MODEL_REPO_ID:-dimostzim/mirbind2-weights}"
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LOCAL_MODEL_PATH="${1:-$HOME/webapp_package/miRBind_2.0-main/models/pairwise_onehot_model_20260105_200141.pt}"
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REMOTE_MODEL_PATH="${2:-pairwise_onehot_model_20260105_200141.pt}"
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if [[ ! -f "$LOCAL_MODEL_PATH" ]]; then
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echo "Local model file not found:"
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echo " $LOCAL_MODEL_PATH"
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exit 1
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fi
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if command -v hf >/dev/null 2>&1; then
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hf upload "$MODEL_REPO_ID" "$LOCAL_MODEL_PATH" "$REMOTE_MODEL_PATH" --repo-type model
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else
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python -m pip install -U huggingface_hub
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python -m huggingface_hub upload "$MODEL_REPO_ID" "$LOCAL_MODEL_PATH" "$REMOTE_MODEL_PATH" --repo-type model
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fi
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echo "Model uploaded to: https://huggingface.co/$MODEL_REPO_ID"
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