app.py

import gradio as gr
import torch

# Load the model
model = torch.load("path/to/basilkr_luke_ST_low_model.pth")
model.eval()  # Set the model to evaluation mode

# Define a function to make predictions
def predict(text):
    # Perform inference using the model
    # You need to adapt this based on the specific requirements of your model
    result = model(text)

    return result

# Create the Gradio interface
iface = gr.Interface(fn=predict, inputs="text", outputs="text")
iface.launch()