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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'] | |
| iface=gr.Interface(launch, | |
| inputs=gr.Image(type='pil'), | |
| outputs="text") | |
| iface.launch() |