api.py

!pip install transformers
!pip install gradio
!pip install gradio_client
!pip install -U gradio_client
from transformers.utils import logging
logging.set_verbosity_error()

import warnings
warnings.filterwarnings("ignore",
                        message="Using the model-agnostic default `max_length`")
import os
!pip install gradio_client==1.14.0
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(launch,
                     inputs=gr.Image(type='pil'),
                     outputs="text")
    iface.launch()