Hot fix : Docker update

Dockerfile

@@ -1,32 +1,36 @@
 # Use an official Python image
 FROM python:3.10-slim
 
-# Set environment variables
+# Set standard Python environment variables for containerized apps
 ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
 
-# Set working directory to /api instead of /app
+# Set the working directory
 WORKDIR /api
 
-# ✅ Create a writable cache directory
-RUN mkdir -p /api/.cache/huggingface && chmod -R 777 /api/.cache
+# --- Cache Configuration ---
+# Create a single, unified directory for all model caches.
+# Make it fully writable to prevent "Permission Denied" errors when downloading models.
+RUN mkdir -p /api/cache && chmod -R 777 /api/cache
 
-# ✅ Set Hugging Face cache environment variables
-ENV HF_HOME=/api/.cache/huggingface
-ENV TRANSFORMERS_CACHE=/api/.cache/huggingface/transformers
-ENV TORCH_HOME=/api/.cache/torch
+# Tell all relevant libraries (Hugging Face, SentenceTransformers, PyTorch)
+# to use this new writable directory. HF_HOME is the most important one.
+ENV HF_HOME=/api/cache
+ENV SENTENCE_TRANSFORMERS_HOME=/api/cache
+ENV TORCH_HOME=/api/cache
+# --- End Cache Configuration ---
 
 # Install dependencies
+# Copy only the requirements file first to leverage Docker layer caching
 COPY requirements.txt .
 RUN pip install --upgrade pip
 RUN pip install -r requirements.txt
 
-# Copy the code
+# Copy the rest of the application code into the container
 COPY . .
 
-
-# Expose the correct port
+# Expose the port the app runs on
 EXPOSE 7860
 
-# Start FastAPI
-CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860"]
+# Command to run the application
+CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860"]