app.py

import gradio as gr
from span_marker import SpanMarkerModel

# Download the model from the Hugging Face Hub
model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-acronyms")

# Define the function for prediction
def predict_acronyms(text):
    if text:
        output = model.predict(text)
        return output
    return {"error": "Please provide valid text"}

# Create the Gradio interface
interface = gr.Interface(
    fn=predict_acronyms,
    inputs=gr.Textbox(label="Enter some text:", lines=5, placeholder="Type here..."),
    outputs=gr.JSON(label="Predicted Output"),
    title="Acronym Detection with Span Marker",
    description="This application detects acronyms in the given text using the SpanMarker model."
)

# Launch the Gradio app
if __name__ == "__main__":
    interface.launch()