Update app.py

app.py

@@ -7,7 +7,7 @@ feature_extractor = ViTFeatureExtractor.from_pretrained("google/vit-large-patch3
 
 def run_ocr(image):
   pixel_values = feature_extractor(image, return_tensors="pt").pixel_values
-  # autoregressively generate caption (uses greedy decoding by default)
+  # autoregressively generate caption (uses greedy decoding by default )
   generated_ids = model.generate(pixel_values, max_new_tokens=50)
   generated_text = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
   return generated_text