Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+def caption(img):
+    inputs = processor(images=img, return_tensors="pt")
+    out = model.generate(**inputs)
+    return processor.decode(out[0], skip_special_tokens=True)
+
+gr.Interface(fn=caption, inputs=gr.Image(), outputs="text", title="Image Captioning").launch()