Upload start-backend.sh with huggingface_hub

start-backend.sh

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+#!/usr/bin/env bash
+# ============================================================================
+# LAION-Tunes Backend Startup Script
+# ============================================================================
+# Starts the FastAPI search server with EmbeddingGemma 300M loaded directly
+# in Python (CPU), plus a cloudflared tunnel for public HTTPS access.
+#
+# Usage:
+#   ./start-backend.sh                  # default: port 7860
+#   ./start-backend.sh --port 7861      # custom FastAPI port
+#   ./start-backend.sh --skip-download  # skip LFS data download
+#
+# Prerequisites:
+#   - Python 3.10+ with pip
+#   - cloudflared binary at ../cloudflared
+#   - ~20 GB disk for search indices
+#   - ~20 GB RAM for loaded indices + embedder
+# ============================================================================
+
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+cd "$SCRIPT_DIR"
+
+# ── Configuration ────────────────────────────────────────────────────────────
+FASTAPI_PORT="${FASTAPI_PORT:-7860}"
+VENV_DIR="$SCRIPT_DIR/.venv"
+CLOUDFLARED="$SCRIPT_DIR/../cloudflared"
+LOG_DIR="$SCRIPT_DIR/logs"
+SKIP_DOWNLOAD=false
+NO_WHISPER=false  # Whisper encoder works on CPU too
+
+# Parse args
+while [[ $# -gt 0 ]]; do
+    case "$1" in
+        --port) FASTAPI_PORT="$2"; shift 2 ;;
+        --skip-download) SKIP_DOWNLOAD=true; shift ;;
+        --with-whisper) NO_WHISPER=false; shift ;;
+        *) echo "Unknown arg: $1"; exit 1 ;;
+    esac
+done
+
+mkdir -p "$LOG_DIR"
+
+echo "============================================================"
+echo " LAION-Tunes Backend Startup"
+echo "============================================================"
+echo " FastAPI port:  $FASTAPI_PORT"
+echo " Venv:          $VENV_DIR"
+echo " Skip download: $SKIP_DOWNLOAD"
+echo " No whisper:    $NO_WHISPER"
+echo "============================================================"
+
+# ── Step 1: Download LFS data (search indices) if needed ─────────────────────
+if [ "$SKIP_DOWNLOAD" = false ]; then
+    echo ""
+    echo "[1/4] Checking search index data..."
+    mkdir -p "$SCRIPT_DIR/search_index"
+
+    # Check if metadata.db exists and is a real file (not LFS pointer)
+    if [ -f "$SCRIPT_DIR/search_index/metadata.db" ] && \
+       [ "$(stat -c%s "$SCRIPT_DIR/search_index/metadata.db" 2>/dev/null || echo 0)" -gt 1000 ]; then
+        echo "  Search indices already downloaded."
+    else
+        echo "  Downloading search indices from HuggingFace (this may take a while ~16 GB)..."
+
+        if [ -d "$SCRIPT_DIR/repo-source/.git" ]; then
+            echo "  Using git-lfs pull in cloned repo..."
+            cd "$SCRIPT_DIR/repo-source"
+            git lfs pull --include="search_index/*" 2>&1 | tail -5
+            # Copy real files over
+            cp -f search_index/* "$SCRIPT_DIR/search_index/" 2>/dev/null || true
+            cd "$SCRIPT_DIR"
+        elif command -v huggingface-cli &>/dev/null; then
+            echo "  Using huggingface-cli..."
+            huggingface-cli download laion/laion-tunes \
+                --repo-type dataset \
+                --include "search_index/*" \
+                --local-dir "$SCRIPT_DIR" \
+                2>&1 | tail -5
+        else
+            echo "  ERROR: No method to download LFS data."
+            echo "  Either clone the repo first:"
+            echo "    GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/laion/laion-tunes repo-source"
+            echo "  Or install huggingface-cli:"
+            echo "    pip install huggingface-hub"
+            exit 1
+        fi
+        echo "  Download complete."
+    fi
+else
+    echo ""
+    echo "[1/4] Skipping data download (--skip-download)"
+fi
+
+# ── Step 2: Set up Python virtual environment ────────────────────────────────
+echo ""
+echo "[2/4] Setting up Python environment..."
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "  Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+source "$VENV_DIR/bin/activate"
+
+# Install dependencies
+echo "  Installing Python dependencies..."
+pip install --quiet --upgrade pip
+
+# Set HF token for gated model access (google/embeddinggemma-300m is gated)
+if [ -z "${HF_TOKEN:-}" ]; then
+    if [ -f "$HOME/.cache/huggingface/token" ]; then
+        export HF_TOKEN="$(cat "$HOME/.cache/huggingface/token")"
+        echo "  HF token loaded from ~/.cache/huggingface/token"
+    elif [ -f "$HOME/.huggingface/token" ]; then
+        export HF_TOKEN="$(cat "$HOME/.huggingface/token")"
+        echo "  HF token loaded from ~/.huggingface/token"
+    else
+        echo "  WARNING: No HF_TOKEN set. google/embeddinggemma-300m is a gated model."
+        echo "  Set HF_TOKEN env var or run: huggingface-cli login"
+    fi
+fi
+
+# Install CPU-only PyTorch first (smaller, no CUDA)
+pip install --quiet torch --index-url https://download.pytorch.org/whl/cpu
+
+# Install everything else
+pip install --quiet \
+    fastapi \
+    'uvicorn[standard]' \
+    faiss-cpu \
+    numpy \
+    pandas \
+    scipy \
+    tqdm \
+    requests \
+    pydantic \
+    python-multipart \
+    sentence-transformers \
+    transformers \
+    optimum[onnxruntime] \
+    onnxruntime \
+    librosa \
+    soundfile
+
+echo "  Python environment ready."
+
+# ── Step 3: Start FastAPI server (with direct Python EmbeddingGemma) ─────────
+echo ""
+echo "[3/4] Starting FastAPI search server on port $FASTAPI_PORT..."
+echo "  EmbeddingGemma 300M will be loaded directly in Python (CPU)."
+echo "  First query may take ~500ms for embedding; subsequent ones ~430ms."
+
+WHISPER_FLAG=""
+if [ "$NO_WHISPER" = true ]; then
+    WHISPER_FLAG="--no-whisper"
+fi
+
+# Kill any existing server on this port
+fuser -k "${FASTAPI_PORT}/tcp" 2>/dev/null || true
+sleep 1
+
+# Run WITHOUT --tei-url so server.py loads EmbeddingGemma via SentenceTransformer
+# HF_TOKEN is inherited from the environment for gated model access
+nohup env HF_TOKEN="${HF_TOKEN:-}" "$VENV_DIR/bin/python" server.py \
+    --port "$FASTAPI_PORT" \
+    --host 0.0.0.0 \
+    --gpu 0 \
+    $WHISPER_FLAG \
+    > "$LOG_DIR/fastapi.log" 2>&1 &
+
+FASTAPI_PID=$!
+echo "  FastAPI PID: $FASTAPI_PID"
+echo "$FASTAPI_PID" > "$LOG_DIR/fastapi.pid"
+
+# Wait for FastAPI to be ready
+echo "  Waiting for FastAPI to start (loading indices ~20 GB RAM + downloading EmbeddingGemma)..."
+FASTAPI_READY=false
+for i in $(seq 1 600); do
+    if curl -sf "http://localhost:${FASTAPI_PORT}/api/stats" >/dev/null 2>&1; then
+        FASTAPI_READY=true
+        echo "  FastAPI ready after ${i}s"
+        break
+    fi
+    # Check if process is still alive
+    if ! kill -0 "$FASTAPI_PID" 2>/dev/null; then
+        echo "  ERROR: FastAPI process died. Check logs:"
+        tail -50 "$LOG_DIR/fastapi.log"
+        exit 1
+    fi
+    # Show progress every 30s
+    if (( i % 30 == 0 )); then
+        echo "  Still loading... (${i}s elapsed)"
+        tail -1 "$LOG_DIR/fastapi.log" 2>/dev/null | sed 's/^/    /'
+    fi
+    sleep 1
+done
+
+if [ "$FASTAPI_READY" = false ]; then
+    echo "  WARNING: FastAPI not ready after 600s. Check: tail -f $LOG_DIR/fastapi.log"
+fi
+
+# ── Step 4: Start cloudflared tunnel for public HTTPS ────────────────────────
+echo ""
+echo "[4/4] Starting cloudflared tunnel for public HTTPS..."
+
+# Kill existing tunnel if running
+if [ -f "$LOG_DIR/cloudflared-backend.pid" ]; then
+    kill "$(cat "$LOG_DIR/cloudflared-backend.pid")" 2>/dev/null || true
+fi
+
+nohup "$CLOUDFLARED" tunnel --url "http://localhost:${FASTAPI_PORT}" \
+    > "$LOG_DIR/cloudflared-backend.log" 2>&1 &
+
+CF_PID=$!
+echo "$CF_PID" > "$LOG_DIR/cloudflared-backend.pid"
+
+# Wait for tunnel URL
+sleep 5
+TUNNEL_URL=""
+for i in $(seq 1 30); do
+    TUNNEL_URL=$(grep -oP 'https://[a-z0-9-]+\.trycloudflare\.com' "$LOG_DIR/cloudflared-backend.log" 2>/dev/null | head -1)
+    if [ -n "$TUNNEL_URL" ]; then
+        break
+    fi
+    sleep 1
+done
+
+echo ""
+echo "============================================================"
+echo " LAION-Tunes Backend is running!"
+echo "============================================================"
+echo ""
+echo " Local:    http://localhost:${FASTAPI_PORT}"
+if [ -n "$TUNNEL_URL" ]; then
+    echo " Public:   $TUNNEL_URL"
+else
+    echo " Public:   (tunnel URL pending, check: grep trycloudflare $LOG_DIR/cloudflared-backend.log)"
+fi
+echo ""
+echo " Logs:"
+echo "   FastAPI:      tail -f $LOG_DIR/fastapi.log"
+echo "   Cloudflared:  tail -f $LOG_DIR/cloudflared-backend.log"
+echo ""
+echo " Stop everything:"
+echo "   kill $FASTAPI_PID $CF_PID"
+echo "   # or: ./stop-all.sh"
+echo "============================================================"