Create model.py

model.py

@@ -0,0 +1,14 @@
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+import torch
+
+class ImagePromptModel:
+    def __init__(self):
+        self.processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+        self.model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+    def generate_prompt(self, image_path):
+        image = Image.open(image_path).convert('RGB')
+        inputs = self.processor(images=image, return_tensors="pt")
+        out = self.model.generate(**inputs)
+        return self.processor.decode(out[0], skip_special_tokens=True)