Final Update: Optimized FastAPI backend with root landing page for Vercel frontend connectivity

Dockerfile

@@ -1,31 +1,30 @@
-FROM python:3.10-slim
+FROM python:3.11-slim
 
-# Install system dependencies for OpenCV and scikit-image
+# Install system dependencies for OpenCV and ML
 RUN apt-get update && apt-get install -y \
-    libgl1-mesa-glx \
+    libgl1 \
     libglib2.0-0 \
+    libsm6 \
+    libxrender1 \
+    libxext6 \
     && rm -rf /var/lib/apt/lists/*
 
-# Set up a new user named "user" with user ID 1000
+# Set up user
 RUN useradd -m -u 1000 user
 USER user
 ENV PATH="/home/user/.local/bin:$PATH"
-
-# Set the working directory to the user's home directory
 WORKDIR /home/user/app
 
-# Copy the requirements file into the container
+# Install Python dependencies
 COPY --chown=user requirements.txt .
-
-# Install the Python dependencies
 RUN pip install --no-cache-dir --upgrade pip
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of the application code into the container
+# Copy source code
 COPY --chown=user . .
 
-# Hugging Face Spaces expects the app to run on port 7860
+# Hugging Face usually expects 7860
 EXPOSE 7860
 
-# Command to run the FastAPI application
-CMD ["uvicorn", "bacterial-classifier.api:app", "--host", "0.0.0.0", "--port", "7860"]
+# Run FastAPI
+CMD ["uvicorn", "classifier_service.api:app", "--host", "0.0.0.0", "--port", "7860"]