Done with readme

Dockerfile

@@ -1,8 +1,11 @@
 FROM python:3.11-slim
 
 # Do not write .pyc files and ensure output is sent straight to the terminal
-ENV PYTHONDONTWRITEBYTECODE=1
-ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    HF_HOME=/app/.cache/huggingface \
+    TRANSFORMERS_CACHE=/app/.cache/huggingface \
+    XDG_CACHE_HOME=/app/.cache
 
 # Install small set of system dependencies that are commonly required
 RUN apt-get update && apt-get install -y --no-install-recommends \
@@ -13,24 +16,31 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 
 WORKDIR /app
 
-# Copy requirements first to leverage Docker layer caching
-COPY requirements.txt /app/requirements.txt
+# Create cache directory and make it writable
+RUN mkdir -p /app/.cache/huggingface && chmod -R 777 /app/.cache
+
+# Create a non-root user and ensure ownership
+RUN addgroup --system app && adduser --system --ingroup app app && chown -R app:app /app
+
+# Copy requirements first to leverage Docker layer caching and set ownership
+COPY --chown=app:app requirements.txt /app/requirements.txt
+
+# Switch to non-root user
+USER app
 
 # Upgrade pip and install python dependencies
 RUN pip install --upgrade pip setuptools wheel && \
     pip install --no-cache-dir -r /app/requirements.txt
 
-# Copy application code
-COPY . /app
+# Pre-download the model during build to avoid runtime downloads
+RUN python -c "from transformers import pipeline; pipeline('zero-shot-classification', model='MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli', device=-1)"
 
-# Create a non-root user and switch to it (best-effort, some distros already have adduser)
-RUN addgroup --system app && adduser --system --ingroup app app || true
-USER app
+# Copy the rest of the application code
+COPY --chown=app:app . /app
 
-# Expose the port that uvicorn will listen on
-EXPOSE 80
+# Expose the port that uvicorn will listen on (Spaces default is 7860)
+EXPOSE 7860
 
 # Start the FastAPI app with uvicorn (exec form is preferred)
-# main:app -> the FastAPI instance in main.py
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--log-level", "info"]
 

preprocessing.py

@@ -1,3 +1,12 @@
+import os
+
+# Ensure Hugging Face caches are set to a writable location inside the container
+os.environ.setdefault("HF_HOME", "/app/.cache/huggingface")
+os.environ.setdefault("TRANSFORMERS_CACHE", "/app/.cache/huggingface")
+os.environ.setdefault("XDG_CACHE_HOME", "/app/.cache")
+
+os.makedirs(os.environ["HF_HOME"], exist_ok=True)
+
 from transformers import pipeline
 
 # Create the pipeline directly with the model name