| #Build Image Captioner App and Launch | |
| 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'] | |
| image_captioner_app = gr.Interface(launch, | |
| inputs=gr.Image(type='pil'), | |
| outputs=gr.Textbox(label = "Caption of the Image"), | |
| title = "Image Captioning", | |
| description = "BLIP") | |
| with gr.Blocks() as demo: | |
| gr.TabbedInterface( | |
| [image_captioner_app], | |
| ["Image Captioner"]) | |
| demo.launch() | |