Update Dockerfile

Dockerfile

@@ -31,18 +31,21 @@ RUN pip install --no-cache-dir \
 
 # Set Hugging Face cache to a guaranteed writable directory
 ENV TRANSFORMERS_CACHE=/tmp/cache
-RUN mkdir -p /tmp/cache
+RUN mkdir -p /tmp/cache && chmod -R 777 /tmp/cache
 
 # Create directories for the models
 RUN mkdir -p /models/blip /models/clip
 
 # Python script to download models using tensorflow_hub and huggingface_hub
 RUN echo "import os\n\
-import tensorflow_hub as hub\n\n\n# Download MoveNet model from TensorFlow Hub (loaded directly in app, not saved)\n\
-movenet_model = hub.load('https://tfhub.dev/google/movenet/singlepose/lightning/4')\n\n\n# Download BLIP model and tokenizer using huggingface_hub\n\
+import tensorflow_hub as hub\n\n\
+# Download MoveNet model from TensorFlow Hub (loaded directly in app, not saved)\n\
+movenet_model = hub.load('https://tfhub.dev/google/movenet/singlepose/lightning/4')\n\n\
+# Download BLIP model and tokenizer using huggingface_hub\n\
 from transformers import BlipForConditionalGeneration, BlipProcessor\n\
 BlipForConditionalGeneration.from_pretrained('Salesforce/blip-image-captioning-large').save_pretrained('/models/blip')\n\
-BlipProcessor.from_pretrained('Salesforce/blip-image-captioning-large').save_pretrained('/models/blip')\n\n\n# Download CLIP model and processor using huggingface_hub\n\
+BlipProcessor.from_pretrained('Salesforce/blip-image-captioning-large').save_pretrained('/models/blip')\n\n\
+# Download CLIP model and processor using huggingface_hub\n\
 from transformers import CLIPModel, CLIPProcessor\n\
 CLIPModel.from_pretrained('openai/clip-vit-large-patch14').save_pretrained('/models/clip')\n\
 CLIPProcessor.from_pretrained('openai/clip-vit-large-patch14').save_pretrained('/models/clip')" > download_models.py