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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() |