Update Dockerfile

Dockerfile

@@ -1,25 +1,25 @@
 # Start with an official Python base image.
-# Using a "slim" version is a good practice for smaller container sizes.
 FROM python:3.11-slim
 
 # Set the working directory inside the container.
 WORKDIR /app
 
-# Copy the requirements file into the container.
-COPY requirements.txt .
+# Create a directory for the model cache and set permissions
+RUN mkdir -p /app/model_cache && chmod 777 /app/model_cache
+
+# CRITICAL FIX: Set the Hugging Face cache directory to our writable folder
+ENV HF_HOME /app/model_cache
+ENV SENTENCE_TRANSFORMERS_HOME /app/model_cache
 
-# Install the Python dependencies.
-# The `--no-cache-dir` flag is a best practice for smaller Docker images.
+# Copy the requirements file and install dependencies.
+COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of your application code into the container.
+# Copy the rest of your application code.
 COPY . .
 
-# Expose the port that the application will run on.
-# Hugging Face Spaces automatically provides a PORT variable, typically 7860.
-# FastAPI will run on this port inside the container.
+# Expose the port the application will run on.
 EXPOSE 7860
 
-# The command to run your application when the container starts.
-# We use Gunicorn as a robust production server.
+# The command to run your application.
 CMD ["gunicorn", "-w", "1", "--preload", "-k", "uvicorn.workers.UvicornWorker", "-b", "0.0.0.0:7860", "main:app"]