app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")

def launch(input):
    out = pipe(input)
    return out[0]['generated_text']

iface = gr.Interface(
    fn=launch,
    inputs=gr.Image(type='pil', label="Upload a picture to be captioned"),
    outputs=gr.Textbox(label="Picture Caption:")
)

iface.launch()