First Commit

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from PIL import Image
+import requests
+from transformers import BlipProcessor, BlipForConditionalGeneration
+
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base").to("cuda")
+
+def generate_caption(image_url):
+    raw_image = Image.open(requests.get(image_url, stream=True).raw).convert('RGB')
+    
+    # Unconditional image captioning
+    inputs = processor(raw_image, return_tensors="pt").to("cuda")
+    out = model.generate(**inputs)
+    caption = processor.decode(out[0], skip_special_tokens=True)
+    
+    return caption
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=generate_caption,
+    inputs="text",  # URL input
+    outputs="text",  # Caption output
+    title="Image Captioning with BLIP",
+    description="Provide an image URL, and the model will generate a caption."
+)
+
+if __name__ == "__main__":
+    iface.launch()