Update README.md

README.md

@@ -1,8 +1,39 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+pipeline_tag: image-to-text
 ---
 
+# BLIP-Image-to-recip
+
+
+
+# Inference code
+
+---
+
+import requests
+from PIL import Image
+
+
+
+from transformers import BlipForConditionalGeneration, AutoProcessor
+
+img_url = 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQuFg4LTHUattLGPU0kLzYpBGHRtuqgJY8Gho3uZe_cg&s' 
+image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')
+
+model = BlipForConditionalGeneration.from_pretrained("Fatehmujtaba/BLIP-Image-to-recipe").to(device)
+processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+
+
+inputs = processor(images=image, return_tensors="pt").to(device)
+pixel_values = inputs.pixel_values
+generated_ids = model.generate(pixel_values=pixel_values, max_length=50)
+generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+
+---
+
+
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->