app.py

# app.py - Jekyll Master AI Demo
import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
import warnings
warnings.filterwarnings("ignore")

# ================= CONFIGURATION =================
MODEL_ID = "daffaaditya/jekyll-master-ai"  # Model Anda yang sudah diupload

print("=" * 60)
print("🚀 Jekyll Master AI - Live Demo")
print(f"📦 Using model: {MODEL_ID}")
print("=" * 60)

# ================= LOAD MODEL =================
@gr.cache_resource
def load_model():
    """Load model dengan caching"""
    print("📥 Loading model...")
    
    try:
        # Load tokenizer dan model langsung dari repo Anda
        tokenizer = AutoTokenizer.from_pretrained(
            MODEL_ID,
            trust_remote_code=True
        )
        
        # Load model dengan quantization untuk hemat memory
        model = AutoModelForCausalLM.from_pretrained(
            MODEL_ID,
            torch_dtype=torch.float16,
            device_map="auto",
            trust_remote_code=True,
            low_cpu_mem_usage=True
        )
        
        print("✅ Model loaded successfully!")
        print(f"📱 Device: {model.device}")
        
    except Exception as e:
        print(f"❌ Error loading model: {e}")
        print("🔄 Using fallback mode...")
        
        # Fallback untuk testing
        tokenizer = None
        model = None
    
    return tokenizer, model

# Load model
tokenizer, model = load_model()

# ================= GENERATION FUNCTION =================
def generate_jekyll_code(instruction, max_tokens=500, temperature=0.7):
    """Generate Jekyll code"""
    try:
        print(f"\n📥 Instruction: {instruction[:50]}...")
        
        # Jika model tidak loaded, beri contoh
        if model is None or tokenizer is None:
            return f"""# Jekyll Master AI - Example Output

# Model is loading or in fallback mode
# Here's an example _config.yml for a tech blog:

title: "Tech Blog"
description: "A blog about technology and programming"
baseurl: ""
url: "https://yourblog.com"
theme: minima

markdown: kramdown
permalink: pretty

author:
  name: "Your Name"
  email: "you@example.com"

plugins:
  - jekyll-feed
  - jekyll-seo-tag

# Try the live demo when model is fully loaded