app.py

import gradio as gr
from transformers import pipeline

# Lightweight image captioning model
pipe = pipeline(
    "image-text-to-text",
    model="microsoft/git-base"
)

def describe_image(image):
    try:
        result = pipe(image)
        return result[0]["generated_text"]
    except Exception as e:
        return f"Error: {str(e)}"


demo = gr.Interface(
    fn=describe_image,
    inputs=gr.Image(type="pil"),
    outputs="text",
    title="🖼️ Image Description AI (Lightweight)",
    description="Upload an image and the AI will describe it."
)

if __name__ == "__main__":
    demo.launch()