app.py

#Filter the warnings
import warnings
warnings.filterwarnings('ignore')
from transformers import logging
logging.set_verbosity_error()

#Import the necessary
import gradio as gr
from transformers import pipeline

#Perform Image Captioning
get_completion = pipeline("image-to-text",model="Salesforce/blip-image-captioning-base")

#Launch the input
def launch(input):
  out=get_completion(input)
  return out[0]['generated_text']

#Define an interface
interface=gr.Interface(fn=launch,inputs=gr.Image(type="pil"),outputs="text",title="Image Captioning with BLIP")

interface.launch()