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