Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+from PIL import Image
+
+# Load model
+captioner = pipeline("image-to-text", model="nlpconnect/vit-gpt2-image-captioning")
+
+# Inference function
+def generate_caption(image):
+    result = captioner(image)
+    return result[0]["generated_text"]
+
+# Gradio UI
+iface = gr.Interface(
+    fn=generate_caption,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="🖼️ Image Caption Generator",
+    description="Upload an image and the model will describe it in a sentence.",
+)
+
+iface.launch()