Update Dockerfile

Dockerfile

@@ -1,32 +1,37 @@
-# Use Python base image
-FROM python:3.10
+# Use slim Python base image
+FROM python:3.10-slim
 
 # Set working directory
 WORKDIR /app
 
-# Copy project files
-COPY . /app
-
-# Install requirements
+# Install dependencies (ffmpeg, fonts, build tools, etc.)
+RUN apt-get update && apt-get install -y \
+    ffmpeg \
+    libsndfile1 \
+    build-essential \
+    g++ \
+    fonts-ebgaramond \
+    fonts-dejavu \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first (for caching)
+COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Create writable directories
-RUN mkdir -p /data/media /data/matplotlib /data/hf_cache /data/hf_home /data/numba_cache /data/nltk_data \
-    && chmod -R 777 /data
-
-# Pre-download NLTK punkt + punkt_tab into /data/nltk_data
-RUN python -m nltk.downloader punkt punkt_tab -d /data/nltk_data
-
-# Environment variables for cache + storage
+# Copy project files
+COPY api_server /app/api_server
+COPY utils /app/utils
+COPY video /app/video
+COPY server.py /app/server.py
+
+# Environment settings
+ENV PYTHONUNBUFFERED=1
+# Make Hugging Face persistent storage available
 ENV STORAGE_PATH=/data/media
-ENV MPLCONFIGDIR=/data/matplotlib
-ENV HF_HOME=/data/hf_home
-ENV TRANSFORMERS_CACHE=/data/hf_cache
-ENV NUMBA_CACHE_DIR=/data/numba_cache
-ENV NLTK_DATA=/data/nltk_data
+RUN mkdir -p /data/media && chmod -R 777 /data
 
-# Expose the Hugging Face default port
+# Expose HF Space default port
 EXPOSE 7860
 
-# Run FastAPI server (ensure server.py has `app = FastAPI()`)
+# Start FastAPI with uvicorn (HF expects web server on 0.0.0.0:7860)
 CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860"]