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import gradio as gr
from transformers import pipeline
# a pipeline for image captioning
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()
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