Delete caption_refiner.py

caption_refiner.py

@@ -1,20 +0,0 @@
-from transformers import T5Tokenizer, T5ForConditionalGeneration
-import torch
-
-# Load the T5 model and tokenizer
-tokenizer = T5Tokenizer.from_pretrained("t5-base")
-model = T5ForConditionalGeneration.from_pretrained("t5-base")
-
-def refine_caption(initial_caption):
-    # Prepare the input for the T5 model
-    input_text = f"refine caption: {initial_caption}"
-    inputs = tokenizer(input_text, return_tensors="pt", padding=True, truncation=True, max_length=512)
-    
-    # Generate the refined caption
-    with torch.no_grad():
-        outputs = model.generate(inputs.input_ids, max_new_tokens=100, num_return_sequences=1)
-    
-    # Decode the refined caption
-    refined_caption = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    
-    return refined_caption