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  1. README.md +4 -1
README.md CHANGED
@@ -14,18 +14,21 @@ pipeline_tag: image-to-text
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  Usage is as follows:
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- ```
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  from transformers import InstructBlipProcessor, InstructBlipForConditionalGeneration
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  import torch
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  from PIL import Image
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  import requests
 
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  model = InstructBlipForConditionalGeneration.from_pretrained("UBC-NLP/Peacock")
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  processor = InstructBlipProcessor.from_pretrained("UBC-NLP/Peacock")
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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  model.to(device)
 
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  url = "https://upload.wikimedia.org/wikipedia/commons/8/83/Socotra_dragon_tree.JPG"
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  image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
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  prompt = "اوصف الصوره"
 
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  inputs = processor(images=image, text=prompt, return_tensors="pt").to(device)
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  outputs = model.generate(
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  **inputs,
 
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  Usage is as follows:
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+ ```python
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  from transformers import InstructBlipProcessor, InstructBlipForConditionalGeneration
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  import torch
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  from PIL import Image
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  import requests
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+
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  model = InstructBlipForConditionalGeneration.from_pretrained("UBC-NLP/Peacock")
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  processor = InstructBlipProcessor.from_pretrained("UBC-NLP/Peacock")
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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  model.to(device)
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+
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  url = "https://upload.wikimedia.org/wikipedia/commons/8/83/Socotra_dragon_tree.JPG"
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  image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
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  prompt = "اوصف الصوره"
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+
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  inputs = processor(images=image, text=prompt, return_tensors="pt").to(device)
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  outputs = model.generate(
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  **inputs,