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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'] | |
title = "Image captioning" | |
description = "Uses the Blip Image Captioning Model from Salesforce" | |
iface = gr.Interface(launch, | |
inputs=gr.Image(type='pil'), | |
outputs="caption"), | |
title=title, | |
description=description) | |
iface.launch() |