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import gradio as gr
from transformers import pipeline
pipe = pipeline("image-to-text",
model="Salesforce/blip-image-captioning-base")
def captioner(input):
out = pipe(input)
return out[0]['generated_text']
# iface = gr.Interface(captioner,
# inputs=gr.Image(type='pil'),
# outputs="text")
# iface.launch()
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",
examples=["christmas_dog.jpg"])
demo.launch() |