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import gradio as gr
from transformers import pipeline
# Load the image-to-text pipeline
image_to_text_pipelines = {
"Salesforce/blip-image-captioning-base": pipeline("image-to-text", model="Salesforce/blip-image-captioning-base"),
# Add more models if needed
}
def generate_caption(input_image, model_name="Salesforce/blip-image-captioning-base"):
# Generate caption for the input image using the selected model
image_to_text_pipeline = image_to_text_pipelines[model_name]
caption = image_to_text_pipeline(input_image)[0]['generated_text']
return caption
# Interface for launching the model
interface = gr.Interface(
fn=generate_caption,
inputs=gr.Image(type='pil', label="Input Image"),
outputs="text",
title="Image Captioning Model",
description="This model generates captions for images.",
theme="default",
)
# Launch the interface
interface.launch() |