Update Dockerfile

Dockerfile

@@ -1,25 +1,22 @@
-# Use the official Python base image
 FROM python:3.11-slim
-
-# Set the working directory in the container
 WORKDIR /app
 
-# Upgrade pip and install necessary system dependencies
 RUN pip install --no-cache-dir --upgrade pip
-RUN apt-get update && apt-get install -y --no-install-recommends build-essential git && rm -rf /var/lib/apt/lists/*
+RUN apt-get update && apt-get install -y --no-install-recommends build-essential git curl && rm -rf /var/lib/apt/lists/*
 
-# Copy the requirements file first to leverage Docker cache
 COPY requirements.txt ./
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy all other project files and folders (app.py, images, Resources, etc.) into the container
+# Set HuggingFace cache path (to avoid permission or missing folder issues)
+ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
+RUN mkdir -p /app/.cache/huggingface
+
+# Pre-download Persian model to avoid runtime errors
+RUN python -c "from langchain_huggingface import HuggingFaceEmbeddings; HuggingFaceEmbeddings(model_name='HooshvareLab/bert-base-parsbert-uncased', cache_folder='/app/.cache/huggingface')"
+
 COPY . .
 
-# Expose the port Streamlit runs on
 EXPOSE 8501
-
-# Health check to see if the app is running
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
-# Command to run your Streamlit application
-ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]