Create app.py

app.py

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+import os
+import streamlit as st
+import pandas as pd
+import numpy as np
+import faiss
+import re
+from datasets import load_dataset
+from sentence_transformers import SentenceTransformer
+from transformers import pipeline
+from huggingface_hub import login
+
+# 1. KONFIGURASI
+st.set_page_config(page_title="AI Culinary Assistant", page_icon="🍳")
+st.title("🍳 AI Culinary Assistant Dashboard")
+
+@st.cache_resource
+def load_models_and_data():
+    # Mengambil token dari Environment Variables Hugging Face
+    # Anda akan mengaturnya di menu 'Settings' Space nanti
+    HF_TOKEN = os.getenv("HF_TOKEN")
+    
+    if HF_TOKEN:
+        login(token=HF_TOKEN)
+    
+    try:
+        # Muat Dataset
+        dataset = load_dataset("junwatu/indonesian-recipes", split="train", token=HF_TOKEN)
+        df = dataset.to_pandas()
+        
+        # Pembersihan
+        df['ingredients'] = df['ingredients'].astype(str).replace(['nan', 'None', ''], 'bahan tidak tersedia')
+        df_sample = df.head(30).copy()
+        
+        # Model Klasifikasi (Ringan)
+        classifier = pipeline("zero-shot-classification", model="typeform/distilbert-base-uncased-mnli")
+        
+        # Model Embedding
+        model_embed = SentenceTransformer('paraphrase-multilingual-MiniLM-L12-v2')
+        embeddings = model_embed.encode(df_sample['ingredients'].tolist(), show_progress_bar=False)
+        
+        # FAISS
+        index = faiss.IndexFlatL2(embeddings.shape[1])
+        index.add(np.array(embeddings))
+        
+        return df_sample, model_embed, index, classifier
+    except Exception as e:
+        st.error(f"Error: {e}")
+        return None, None, None, None
+
+with st.spinner("🤖 Menghubungkan ke AI Hub..."):
+    df_sample, model_embed, index_faiss, classifier = load_models_and_data()
+
+# --- LOGIKA UI (BAGIAN BAWAH) ---
+if df_sample is not None:
+    st.sidebar.header("🎛️ Filter")
+    query = st.sidebar.text_input("🛒 Masukkan Bahan:")
+    if st.sidebar.button("Cari"):
+        # Logika pencarian sama seperti sebelumnya...
+        st.write("Mencari resep terbaik untuk Anda...")
+        # (Tambahkan logika pencarian Anda di sini)