| import gradio as gr | |
| def predict(input_text): | |
| # Limit the input length | |
| truncated_input = input_text[:512] | |
| # Load the interface and make a prediction | |
| iface = gr.load("models/DATEXIS/CORe-clinical-diagnosis-prediction") | |
| prediction = iface(truncated_input) | |
| return prediction | |
| iface = gr.Interface(fn=predict, inputs='text', outputs='text') | |
| iface.launch() | |