Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -25,8 +25,6 @@ print("Collection Embedding Dimension:", collection.metadata)
|
|
25 |
|
26 |
# Initialize models
|
27 |
text_model = SentenceTransformer('all-MiniLM-L6-v2')
|
28 |
-
clip_model = CLIPModel.from_pretrained("sentence-transformers/clip-ViT-B-32")
|
29 |
-
clip_processor = CLIPProcessor.from_pretrained("sentence-transformers/clip-ViT-B-32")
|
30 |
|
31 |
# Folder for extracted images
|
32 |
IMAGE_FOLDER = "/data/extracted_images"
|
|
|
25 |
|
26 |
# Initialize models
|
27 |
text_model = SentenceTransformer('all-MiniLM-L6-v2')
|
|
|
|
|
28 |
|
29 |
# Folder for extracted images
|
30 |
IMAGE_FOLDER = "/data/extracted_images"
|