Update Dockerfile

Dockerfile

@@ -1,23 +1,45 @@
-# Gunakan Python 3.9 sebagai dasar
+# Gunakan Python 3.9
 FROM python:3.9
 
-# Set folder kerja di dalam container
+# Buat user baru (keamanan Hugging Face)
+RUN useradd -m -u 1000 user
 WORKDIR /app
 
-# Copy requirements dan install library
-COPY requirements.txt requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt
+# --- SETTING PENTING: Kasih tahu NLTK harus cari data di mana ---
+ENV NLTK_DATA=/app/nltk_data
 
-# Buat folder untuk cache transformer (biar gak error permission)
+# Install Library
+COPY --chown=user requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# --- DOWNLOAD NLTK DATA (FIX ERROR) ---
+# Kita buat foldernya dulu
+RUN mkdir -p /app/nltk_data
+
+# Download Stopwords, Punkt, dan VADER (sesuai request error log)
+# -d /app/nltk_data artinya: "Download ke folder ini woy!"
+RUN python -m nltk.downloader -d /app/nltk_data stopwords punkt punkt_tab vader_lexicon
+# --------------------------------------
+
+# Atur Izin (Permission) agar user bisa baca/tulis
+RUN chown -R user:user /app
+RUN chmod -R 777 /app/nltk_data
+
+# Setting Cache Transformers (biar model AI gak error permission)
 RUN mkdir -p /app/cache
 ENV TRANSFORMERS_CACHE=/app/cache
-RUN chmod -R 777 /app
+ENV HF_HOME=/app/cache
+RUN chmod -R 777 /app/cache
+
+# Copy sisa file project
+COPY --chown=user . .
 
-# Copy semua file project ke dalam container
-COPY . .
+# Switch ke user biasa
+USER user
 
-# Buka port 7860 (Port wajib Hugging Face)
+# Buka Port
 EXPOSE 7860
 
-# Jalankan aplikasi
+# Jalankan
 CMD ["python", "app.py"]