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