app.py

import gradio as gr
from transformers import pipeline

#Load the Image captioning pipeline
captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base") 

# Define the prediction function
def describe_image(image):
  result = captioner(image)[0]["generated_text"]
  return result

# Create the Gradio interface
gr.Interface(
  fn=describe_image,
  inputs=gr.Image(type="pil"),
  outputs="text",
  title="Image Describer",
  description="Upload an image and this app will describe it!"
).launch(share=True)