Create app.py

app.py

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+import gradio as gr
+from PIL import Image
+from transformers import BlipProcessor, BlipForConditionalGeneration
+import torch
+
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+def caption_image(image):
+    inputs = processor(image, return_tensors="pt")
+    out = model.generate(**inputs)
+    caption = processor.decode(out[0], skip_special_tokens=True)
+    return caption
+
+iface = gr.Interface(
+    fn=caption_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Captionify: AI Image Caption Generator"
+)
+
+iface.launch()