Update app.py

app.py

@@ -13,9 +13,10 @@ processor = BlipProcessor.from_pretrained('jaimin/Imagecap')
 
 def predict(image,max_length=64, num_beams=4):
   image = image.convert('RGB')
-  image = feature_extractor(image, return_tensors="pt").pixel_values.to(device)
+  #image = feature_extractor(image, return_tensors="pt").pixel_values.to(device)
+  inputs = processor(image, return_tensors="pt")
   #clean_text = lambda x: x.replace('<|endoftext|>','').split('\n')[0]
-  caption_ids = model.generate(image, max_length = max_length)[0]
+  caption_ids = model.generate(inputs, max_length = max_length)[0]
   caption_text = tokenizer.decode(caption_ids)
   return processor.decode(caption_ids[0], skip_special_tokens=True)