Decalred the cache folder for the transformers

Dockerfile

@@ -1,7 +1,7 @@
-# Use a base image with Python and CUDA if you use torch GPU (or just python:3.10)
+# Base image
 FROM python:3.10-slim
 
-# Set work directory
+# Set working directory
 WORKDIR /app
 
 # Copy your code
@@ -10,15 +10,12 @@ COPY . /app
 # Install dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Expose the Flask port
+# Set Hugging Face cache to a writable folder
+# /tmp is always writable in HF Spaces
+ENV HF_HOME=/tmp/hf_cache
+
+# Expose the Flask port for HF Spaces
 EXPOSE 7860
 
 # Start the Flask app
 CMD ["python", "app.py"]
-
-# Create a writable cache directory
-RUN mkdir -p /app/cache
-
-# Tell transformers/huggingface to use it
-ENV HF_HOME=/app/cache
-ENV TRANSFORMERS_CACHE=/app/cache