app.py

app.py

@@ -39,8 +39,8 @@ def show_output_image(matched_images) :
 # Encode and normalize the search query using CLIP
 def encode_search_query(search_query, model):
     with torch.no_grad():
-        #inputs = tokenizer([search_query],  padding=True, return_tensors="pt")
-        inputs = processor(text=[search_query], images=None, return_tensors="pt", padding=True)
+        inputs = tokenizer([search_query],  padding=True, return_tensors="pt")
+        #inputs = processor(text=[search_query], images=None, return_tensors="pt", padding=True)
     text_features =  model.get_text_features(**inputs).detach().numpy()
     return np.array(text_features)