Update Dockerfile

Dockerfile

@@ -49,12 +49,12 @@ import tensorflow_hub as hub\n\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\
+BlipForConditionalGeneration.from_pretrained('Salesforce/blip-image-captioning-base').save_pretrained('/models/blip')\n\
+BlipProcessor.from_pretrained('Salesforce/blip-image-captioning-base').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
+CLIPModel.from_pretrained('openai/clip-vit-base-patch32').save_pretrained('/models/clip')\n\
+CLIPProcessor.from_pretrained('openai/clip-vit-base-patch32').save_pretrained('/models/clip')" > download_models.py
 
 # Run the script to download models
 RUN python download_models.py