Update app.py

app.py

@@ -6,12 +6,12 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
 
-def caption(img, min, max):
+def caption(img, min_, max_):
     raw_image = Image.open(img).convert('RGB')
   
     inputs = processor(raw_image, return_tensors="pt")
     
-    out = model.generate(**inputs, min_length=min, max_length=max)
+    out = model.generate(**inputs, min_length=min_, max_length=max_)
     return processor.decode(out[0], skip_special_tokens=True)
 
 def greet(img):