# import evaluate
# from evaluate.utils import launch_gradio_widget


# module = evaluate.load("danieldux/metric_template_1")
# launch_gradio_widget(module)

import evaluate
import gradio as gr

# Load your metric module
module = evaluate.load("danieldux/metric_template_1")

# Define pre-populated examples
examples = [
    {
        "references": ["1111", "1112", "1113", "1114"],
        "predictions": ["1111", "1113", "1120", "1211"],
    }
    # {"references": ["It is a sunny day."], "predictions": ["The day is sunny."]}
]


# Use the modules "compute" function that takes references and predictions
def compute_metric(references, predictions):
    return module.compute(references=[references], predictions=[predictions])


# Create a Gradio interface
iface = gr.Interface(
    fn=compute_metric,
    inputs=[
        gr.inputs.Textbox(lines=2, label="References"),
        gr.inputs.Textbox(lines=2, label="Predictions"),
    ],
    outputs="text",
    examples=examples,  # Pass the pre-populated examples here
)

# Launch the interface
iface.launch()