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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 = "Generate caption for uploaded image"
description = "Uses the Blip Image Captioning Model from Salesforce"
iface = gr.Interface(launch,
inputs=gr.Image(type='pil'),
outputs="text",
title=title,
description=description)
iface.launch() |