74 lines
2.4 KiB
Bash
Executable File
74 lines
2.4 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Download Essentia models for audio classification
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# Models from: https://essentia.upf.edu/models.html
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set -e # Exit on error
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MODELS_DIR="backend/models"
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CLASS_HEADS_URL="https://essentia.upf.edu/models/classification-heads"
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EMBEDDINGS_URL="https://essentia.upf.edu/models/feature-extractors/discogs-effnet"
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echo "📦 Downloading Essentia models..."
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echo "Models directory: $MODELS_DIR"
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# Create models directory if it doesn't exist
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mkdir -p "$MODELS_DIR"
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# Download function
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download_model() {
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local model_file="$1"
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local url="$2"
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local output_path="$MODELS_DIR/$model_file"
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if [ -f "$output_path" ]; then
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echo "✓ $model_file already exists, skipping..."
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else
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echo "⬇️ Downloading $model_file..."
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# Use -k flag to ignore SSL certificate issues with essentia.upf.edu
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curl -k -L -o "$output_path" "$url"
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if [ -f "$output_path" ] && [ -s "$output_path" ]; then
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echo "✓ Downloaded $model_file ($(du -h "$output_path" | cut -f1))"
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else
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echo "✗ Failed to download $model_file"
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rm -f "$output_path" # Remove empty/failed file
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exit 1
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fi
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fi
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}
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# Download embedding model first (required for all classification heads)
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echo ""
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echo "Downloading embedding model..."
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download_model "discogs-effnet-bs64-1.pb" \
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"$EMBEDDINGS_URL/discogs-effnet-bs64-1.pb"
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# Download classification heads
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echo ""
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echo "Downloading classification heads..."
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# Genre: Discogs400 (professional taxonomy with 400 genres)
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download_model "genre_discogs400-discogs-effnet-1.pb" \
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"$CLASS_HEADS_URL/genre_discogs400/genre_discogs400-discogs-effnet-1.pb"
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download_model "genre_discogs400-discogs-effnet-1.json" \
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"$CLASS_HEADS_URL/genre_discogs400/genre_discogs400-discogs-effnet-1.json"
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# Mood & Instrument: MTG-Jamendo
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download_model "mtg_jamendo_moodtheme-discogs-effnet-1.pb" \
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"$CLASS_HEADS_URL/mtg_jamendo_moodtheme/mtg_jamendo_moodtheme-discogs-effnet-1.pb"
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download_model "mtg_jamendo_instrument-discogs-effnet-1.pb" \
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"$CLASS_HEADS_URL/mtg_jamendo_instrument/mtg_jamendo_instrument-discogs-effnet-1.pb"
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echo ""
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echo "✅ All models downloaded successfully!"
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echo ""
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echo "Models available:"
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ls -lh "$MODELS_DIR"/*.pb 2>/dev/null || echo "No .pb files found"
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echo ""
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echo "Note: Class labels are defined in backend/src/core/essentia_classifier.py"
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echo "You can now start the backend with: docker-compose up"
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