app.py

import gradio as gr
from transformers import pipeline

image_url = "https://free-images.com/sm/9596/dog_animal_greyhound_983023.jpg"
get_completion = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")

def summarize(input):
    output = get_completion(input)
    return output[0]['generated_text']
    

import gradio as gr 

def captioner(image):
    result = get_completion(image)
    return result[0]['generated_text']

gr.close_all()
demo = gr.Interface(fn=captioner,
                    inputs=[gr.Image(label="Upload image", type="pil")],
                    outputs=[gr.Textbox(label="Caption")],
                    title="Image Captioning with BLIP",
                    description="Caption any image using the BLIP model",
                    allow_flagging="never")
demo.launch()