Update Dockerfile

Dockerfile

@@ -1,20 +1,29 @@
-# Use the official Python image as a base image
-FROM python:3.9
+# Use Python 3.10 for compatibility with newer packages
+FROM python:3.10
 
-# Set the working directory in the container
-WORKDIR /app
+# Set up a working directory
+WORKDIR /code
 
-# Copy the requirements file to the container
-COPY requirements.txt .
+# Expose port 80
+EXPOSE 80
 
-# Install any necessary dependencies
-RUN pip install --no-cache-dir -r requirements.txt
+# Install OpenCV and poppler-utils dependencies
+RUN apt-get update && apt-get install -y libgl1-mesa-glx libglib2.0-0 libsm6 poppler-utils
 
-# Copy the rest of the application code to the container
-COPY . .
+# Copy just the requirements file into the working directory
+COPY ./requirements.txt /code/requirements.txt
+
+# Install dependencies from the requirements file
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Install PyTorch or TensorFlow
+RUN pip install torch torchvision
 
-# Expose the port that the FastAPI app will run on
-EXPOSE 8000
+# Set environment variable to indicate PyTorch usage
+ENV USE_TORCH=1 
+
+# Copy the rest of the application code into the working directory
+COPY . .
 
-# Command to run the FastAPI app using Uvicorn
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
+# Set the entry point to run the FastAPI app with uvicorn
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]