#!/bin/bash # Do NOT export HOME here. Let the system manage HOME for the 'appuser' # (which will be /home/appuser due to the Dockerfile change). # Ollama will try to write to /home/appuser/.ollama if it falls back on HOME. # Define OLLAMA_HOME explicitly for the runtime environment in start.sh. # This ensures Ollama uses /app/.ollama for its primary data, which is within the /app # directory owned by 'appuser'. export OLLAMA_HOME="/app/.ollama" # Create the Ollama home directory if it doesn't exist. # The Dockerfile's chown ensures 'appuser' owns /app, so 'appuser' can # create this directory without permission issues. mkdir -p "${OLLAMA_HOME}" echo "Starting Ollama server..." # Start Ollama server in the background. # Redirect its output to a log file within OLLAMA_HOME, and also to stdout (Hugging Face Space logs). /usr/local/bin/ollama serve > "${OLLAMA_HOME}/ollama.log" 2>&1 & # Give Ollama a moment to write logs before tailing. # This helps ensure `tail -f` has content to display immediately. sleep 2 # Tail the Ollama log file in the background so its contents appear in the Space logs. # This is crucial for debugging Ollama's internal startup process. tail -f "${OLLAMA_HOME}/ollama.log" & echo "Waiting for Ollama server to start..." attempt_num=0 max_attempts=60 # Increased timeout to 60 seconds (60 attempts * 1 second sleep) while ! curl -s http://localhost:11434/api/tags > /dev/null; do if [ $attempt_num -ge $max_attempts ]; then echo "Error: Ollama server failed to start after multiple attempts." echo "Ollama logs:" # Print the full Ollama log if it fails to start for final debugging. cat "${OLLAMA_HOME}/ollama.log" exit 1 # Exit with an error to signal failure to Hugging Face Spaces. fi echo "Ollama server not yet ready, waiting... ($((attempt_num + 1))/$max_attempts)" sleep 1 attempt_num=$((attempt_num + 1)) done echo "Ollama server is ready!" echo "Starting Streamlit app..." # Run the Streamlit application. # --server.port and --server.address are essential for Docker environments # to ensure Streamlit listens correctly and is accessible via Hugging Face Spaces. streamlit run src/streamlit_app.py --server.port 8501 --server.address 0.0.0.0