app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline(task="image-to-text", 
                model="Stoneman/IG-caption-generator-nlpconnect-last-block")

# Example images
examples = [f"example{i}.JPG" for i in range(1, 10)]
gr.Interface.from_pipeline(pipe, 
                           title="IG-caption-generator",
                           description="IG caption generator using ViT and GPT2.",
                           examples=examples
                           ).launch()