Initial app code

app.py

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+import gradio as gr
+from transformers import AutoProcessor, AutoModelForImageTextToText
+from PIL import Image
+import torch
+
+# Load once
+processor = AutoProcessor.from_pretrained("RSRathore/ny-image-captioning")
+model = AutoModelForImageTextToText.from_pretrained("RSRathore/ny-image-captioning")
+model.eval()
+
+def generate_caption(image):
+    inputs = processor(images=image, return_tensors="pt").to(model.device)
+    with torch.no_grad():
+        outputs = model.generate(**inputs)
+    caption = processor.batch_decode(outputs, skip_special_tokens=True)[0]
+    return caption
+
+demo = gr.Interface(
+    fn=generate_caption,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="🖼️ New Yorker Caption Generator",
+    description="Upload an image and get a caption using the `RSRathore/ny-image-captioning` model."
+)
+
+demo.launch()

requirements.txt

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+transformers
+torch
+pillow
+gradio