| from transformers.utils import logging | |
| logging.set_verbosity_error() | |
| import warnings | |
| warnings.filterwarnings("ignore", | |
| message="Using the model-agnostic default `max_length`") | |
| import os | |
| 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() |