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| # import os | |
| # import io | |
| import IPython.display | |
| from PIL import Image | |
| # import base64 | |
| from transformers import pipeline | |
| import gradio as gr | |
| get_completion = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base") | |
| def captioner(image): | |
| result = get_completion(image) | |
| return result[0]['generated_text'] | |
| gr.close_all() | |
| demo = gr.Interface( | |
| fn=captioner, | |
| inputs=[gr.Image(label="Upload image", type="pil")], | |
| outputs=[gr.Textbox(label="Caption")], | |
| title="Image Captioning with BLIP", | |
| description="Caption any image using the BLIP model", | |
| allow_flagging="never", | |
| ) | |
| demo.launch() | |
| gr.close_all() | |