| import gradio as gr | |
| # Define your model and function to be used in the interface | |
| model = "models/Salesforce/blip-image-captioning-large" | |
| def predict_image_caption(image): | |
| # Your model prediction code here | |
| return "Predicted caption for the image." | |
| # Create the Gradio interface with a password | |
| interface = gr.Interface( | |
| fn=predict_image_caption, | |
| inputs="image", | |
| outputs="text", | |
| live=True, # Set to False if you don't want real-time updates | |
| password="your_password_here" # Set your desired password here | |
| ) | |
| # Launch the interface | |
| interface.launch() | |