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