Update Dockerfile

Dockerfile

@@ -1,41 +1,18 @@
-# Use an official lightweight Python image
 FROM python:3.10-slim
-
-# Set the working directory inside the container
 WORKDIR /app
 
-# Install system dependencies
-# git is needed for some pip packages, build-essential for C extensions
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    git \
-    && rm -rf /var/lib/apt/lists/*
+RUN apt-get update && apt-get install -y build-essential git && rm -rf /var/lib/apt/lists/*
 
-# --- Additions for Virtual Environment ---
-# 1. Create the virtual environment in a standard location
 RUN python3 -m venv /opt/venv
-
-# 2. Add the venv's bin directory to the PATH
-# This effectively "activates" the venv for all subsequent commands
 ENV PATH="/opt/venv/bin:$PATH"
-# --- End of Venv Additions ---
 
-# Copy the requirements file first to leverage Docker layer caching
-COPY requirements.txt requirements.txt
-
-# Install Python dependencies
-# This pip command will now use the venv's pip
+COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of your application code into the container
 COPY . .
 
-# Expose the port the app will run on
 EXPOSE 7860
-
-# Set the port as an environment variable
 ENV PORT=7860
 
-# Command to run the application in production using Gunicorn
-# This gunicorn command will use the venv's gunicorn (thanks to the PATH update)
-CMD ["gunicorn", "--workers", "4", "--bind", "0.0.0.0:7860", "main:app"]
+# Use only 1 worker, longer timeout
+CMD ["gunicorn", "--workers", "1", "--timeout", "300", "--bind", "0.0.0.0:7860", "main:app"]