app/entrypoint.sh

#!/bin/bash

# 1. Path where the app looks for the model
MODEL_PATH="/app/models/nur.gguf"

# Check if model exists
if [ -f "$MODEL_PATH" ]; then
    echo "✅ Nur Brain is already in storage."
else
    echo "⏳ Brain missing. Downloading Qwen2.5-1.5B-Instruct..."
    
    mkdir -p /app/models
    
    # ⬇️ VERIFIED DOWNLOAD SECTION ⬇️
    python3 -c "
from huggingface_hub import hf_hub_download
import os
try:
    # This is the official and stable repository for Qwen2.5 GGUF
    path = hf_hub_download(
        repo_id='Qwen/Qwen2.5-1.5B-Instruct-GGUF', 
        filename='qwen2.5-1.5b-instruct-q4_k_m.gguf',
        local_dir='/app/models',
        local_dir_use_symlinks=False
    )
    # Rename to your custom filename
    os.rename(path, '/app/models/nur.gguf')
    print('✅ Qwen Download complete!')
except Exception as e:
    print(f'❌ Download failed: {e}')
    exit(1)
"
fi

# Double check
if [ ! -f "$MODEL_PATH" ]; then
    echo "❌ CRITICAL: Model file still missing."
    exit 1
fi

echo "🚀 Starting Isam's Nur Brain on Port 7860..."

# Start the API
exec uvicorn app.main:app --host 0.0.0.0 --port 7860