Update Dockerfile

Dockerfile

@@ -4,34 +4,55 @@ FROM python:3.10-slim
 # Set the working directory in the container
 WORKDIR /app
 
+# Install system dependencies required by Playwright/crawl4ai
+# Based on Playwright's recommendations for Debian/Ubuntu
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    # Base dependencies
+    wget \
+    gnupg \
+    # Playwright browser dependencies (Chromium)
+    libnss3 \
+    libatk1.0-0 \
+    libatk-bridge2.0-0 \
+    libcups2 \
+    libdrm2 \
+    libdbus-1-3 \
+    libxkbcommon0 \
+    libatspi2.0-0 \
+    libx11-6 \
+    libxcomposite1 \
+    libxdamage1 \
+    libxext6 \
+    libxfixes3 \
+    libxrandr2 \
+    libgbm1 \
+    libpango-1.0-0 \
+    libcairo2 \
+    libasound2 \
+    # Clean up
+    && rm -rf /var/lib/apt/lists/*
+
 # Copy the requirements file into the container at /app
 COPY requirements.txt .
 
-# Install any needed system dependencies (if any - bs4, requests usually don't need much)
-# RUN apt-get update && apt-get install -y --no-install-recommends some-package && rm -rf /var/lib/apt/lists/*
-# For this bot, we likely don't need extra apt packages currently.
-
 # Install Python dependencies
 # Using --no-cache-dir reduces image size slightly
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Install crawl4ai dependencies (Playwright browsers)
-# Needs to run *after* pip install and requires system dependencies installed by playwright itself
-# Using --with-deps installs necessary browser dependencies like fonts, libs etc.
+# Run crawl4ai post-installation setup (installs browser binaries)
 RUN crawl4ai-setup
-RUN python -m playwright install --with-deps chromium
 
 # Copy the rest of the application code into the container at /app
 COPY . .
 
-# Make port defined by PORT env var (default 7860) available
-# Hugging Face Spaces typically expect apps to run on port 7860
-EXPOSE ${PORT:-7860}
+# Make port specified by Hugging Face (usually 7860 or 8080) available
+# Use PORT environment variable, default to 7860 if not set
+ARG PORT=7860
+EXPOSE ${PORT}
 
 # Define environment variable to ensure Python output is sent straight to logs
 ENV PYTHONUNBUFFERED=1
 
-# Command to run the application using Gunicorn (SHELL FORM for variable expansion)
-# It will run the Starlette 'app' object found in the 'main' module (main.py)
-# Listen on all interfaces (0.0.0.0) on the port specified by HF/env var (usually 7860)
-CMD gunicorn -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:${PORT:-7860} main:app
+# Command to run the application using Gunicorn
+# Listen on all interfaces (0.0.0.0) on the port specified by HF
+CMD ["gunicorn", "--conf", "gunicorn.conf.py", "main:app"]