Update app.py

app.py

@@ -11,17 +11,17 @@ model = AutoModelForCausalLM.from_pretrained("nkasmanoff/git-planet").to(device)
 
 nlp = spacy.load('en_core_web_sm')
 
-def predict(image,max_length=64,device='cpu'):
+def predict(image,max_length=50,device='cpu'):
     pixel_values = processor(images=image, return_tensors="pt").to(device).pixel_values
     generated_ids = model.generate(pixel_values=pixel_values, max_length=max_length)
     generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
-    relation = get_relation(generated_caption)
+ #   relation = get_relation(generated_caption)
 
-    entity_pair = get_entities(generated_caption)
+  #  entity_pair = get_entities(generated_caption)
 
-    knowlege_triplet = f"'{entity_pair[0]}'---{relation}--->'{entity_pair[1]}'"
+   # knowlege_triplet = f"'{entity_pair[0]}'---{relation}--->'{entity_pair[1]}'"
 
-    return knowlege_triplet 
+    return generated_caption 
 
 
 def get_entities(sent):