Add server deployment support with Essentia

- Add install-server.sh for easy deployment on Linux servers
- Update Dockerfile to auto-detect architecture (x86_64/ARM64)
- Add deploy.sh for remote deployment
- Update requirements.txt with Essentia support notes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

backend/Dockerfile

@@ -26,6 +26,23 @@ COPY requirements.txt .
 # Install Python dependencies in stages for better caching
 RUN pip install --no-cache-dir numpy==1.24.3
 RUN pip install --no-cache-dir scipy==1.11.4
+
+# Install Essentia - detect architecture and install appropriate wheel
+RUN ARCH=$(uname -m) && \
+    if [ "$ARCH" = "x86_64" ]; then \
+        echo "Installing Essentia for x86_64..." && \
+        pip install --no-cache-dir --trusted-host essentia.upf.edu \
+            https://essentia.upf.edu/python-wheels/essentia-2.1_beta6.dev374-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl || \
+        echo "Essentia installation failed, using fallback mode"; \
+    elif [ "$ARCH" = "aarch64" ]; then \
+        echo "Installing Essentia for aarch64..." && \
+        pip install --no-cache-dir --trusted-host essentia.upf.edu \
+            https://essentia.upf.edu/python-wheels/essentia-2.1_beta6.dev374-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl || \
+        echo "Essentia installation failed, using fallback mode"; \
+    else \
+        echo "Unsupported architecture: $ARCH, using fallback mode"; \
+    fi
+
 RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy application code

backend/requirements.txt

@@ -15,12 +15,8 @@ soundfile==0.12.1
 audioread==3.0.1
 mutagen==1.47.0
 
-# Optional: Essentia for genre/mood/instrument classification
-# Note: essentia-tensorflow not available on PyPI for all platforms
-# Uncomment if you can install it (Linux x86_64 only):
-# essentia==2.1b6.dev1110
-# For manual installation: pip install essentia
-# Or build from source: https://github.com/MTG/essentia
+# Essentia for genre/mood/instrument classification
+# Note: Essentia is installed separately in Dockerfile from official wheels
 
 # Scientific Computing
 numpy==1.24.3

backend/src/alembic/versions/20251127_002_rename_metadata.py

@@ -0,0 +1,37 @@
+"""Rename metadata to extra_metadata
+
+Revision ID: 002
+Revises: 001
+Create Date: 2025-11-27
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+# revision identifiers, used by Alembic.
+revision: str = '002'
+down_revision: Union[str, None] = '001'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # Check if column exists before renaming
+    op.execute("""
+        DO $$
+        BEGIN
+            IF EXISTS (
+                SELECT 1 FROM information_schema.columns
+                WHERE table_name='audio_tracks' AND column_name='metadata'
+            ) THEN
+                ALTER TABLE audio_tracks RENAME COLUMN metadata TO extra_metadata;
+            END IF;
+        END $$;
+    """)
+
+
+def downgrade() -> None:
+    # Rename back to metadata
+    op.execute('ALTER TABLE audio_tracks RENAME COLUMN extra_metadata TO metadata')