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import gradio as gr
from PIL import Image
from model import GitBaseCocoModel
def generate_captions(
image,
max_len,
num_captions,
):
"""
Generates captions for the given image.
-----
Parameters:
image: PIL.Image
The image to generate captions for.
max_len: int
The maximum length of the caption.
num_captions: int
The number of captions to generate.
-----
Returns:
list[str]
"""
device = "cuda" if gradio.use_gpu else "cpu"
checkpoint = "microsoft/git-base-coco"
model = GitBaseCocoModel(device, checkpoint)
caption = model.generate(image, max_len, num_captions)
# Convert list to a single string separated by newlines.
caption = "\n".join(caption)
return caption
title = "Git-Base-COCO Image Captioning"
description = "A model for generating captions for images."
interface = gr.Interface(
fn=generate_captions,
inputs=[
gr.inputs.Image(type="pil", label="Image"),
gr.inputs.Slider(minimum=20, maximum=100, step=5, default=50, label="Maximum Caption Length"),
gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Number of Captions to Generate"),
],
outputs=[
gr.outputs.Textbox(label="Caption"),
],
title=title,
description=description,
)
if __name__ == "__main__":
interface.launch(
enable_queue=True,
debug=True
) |