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Update README.md

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  ---
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  library_name: transformers
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- license: apache-2.0
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  pipeline_tag: image-to-text
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  ---
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- # BLIP-Image-to-recip
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@@ -22,7 +22,7 @@ from transformers import BlipForConditionalGeneration, AutoProcessor
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  img_url = 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQuFg4LTHUattLGPU0kLzYpBGHRtuqgJY8Gho3uZe_cg&s'
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  image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')
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- model = BlipForConditionalGeneration.from_pretrained("Fatehmujtaba/BLIP-Image-to-recipe").to(device)
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  processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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  ---
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  library_name: transformers
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+ license: mit
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  pipeline_tag: image-to-text
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  ---
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+ # FF-Image-to-recipe
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  img_url = 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQuFg4LTHUattLGPU0kLzYpBGHRtuqgJY8Gho3uZe_cg&s'
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  image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')
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+ model = BlipForConditionalGeneration.from_pretrained("workwithHasnain/FF-Image-to-Recipe").to(device)
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  processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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