app.py

!pip install transformers
!pip install gradio
!pip install gradio_client



from transformers.utils import logging
import warnings
import os
import gradio as gr
from transformers import pipeline


logging.set_verbosity_error()


warnings.filterwarnings("ignore", 
                        message="Using the model-agnostic default `max_length`")



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(launch,
                     inputs=gr.Image(type='pil'),
                     outputs="text")

iface.launch()

iface.close()