new docker fix

Dockerfile

@@ -15,19 +15,27 @@ RUN pip install --no-cache-dir -r requirements.txt
 RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
 
 # ✅ Set environment variables to a writable path
-ENV TRANSFORMERS_CACHE=/app/cache
 ENV HF_HOME=/app/cache
+ENV TRANSFORMERS_CACHE=/app/cache
 ENV TOKENIZERS_PARALLELISM=false
 ENV OMP_NUM_THREADS=1
 
-# ✅ Create model cache directory inside app folder
-RUN mkdir -p /app/cache
+# ✅ Create cache directory with proper permissions
+RUN mkdir -p /app/cache && chmod -R 777 /app/cache
 
 # Copy application
 COPY . .
 
-# ✅ Expose correct port for Hugging Face Spaces
+# ✅ Pre-download the model during build (optional but recommended)
+RUN python -c "from transformers import AutoTokenizer, AutoModelForCausalLM; \
+    AutoTokenizer.from_pretrained('distilgpt2', cache_dir='/app/cache'); \
+    AutoModelForCausalLM.from_pretrained('distilgpt2', cache_dir='/app/cache')" || echo "Model download failed, will retry at runtime"
+
+# ✅ Ensure cache directory is writable after model download
+RUN chmod -R 777 /app/cache
+
+# ✅ Expose correct port
 EXPOSE 7860
 
-# ✅ Run app on correct port
-CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "1", "--timeout", "120", "app:app"]
+# ✅ Run app
+CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "1", "--timeout", "120", "app:app"]