File size: 1,190 Bytes
703a85e 47a7d13 703a85e 81eb679 47a7d13 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
import evaluate
import gradio as gr
module = evaluate.load("Bekhouche/NED")
def compute_ned(dataframe):
predictions = dataframe['Predictions'].tolist()
references = dataframe['References'].tolist()
if len(predictions) != len(references):
return "Error: Number of predictions and references must match!"
module.add_batch(predictions=predictions, references=references)
result = module.compute()
return result
def custom_launch_gradio_widget(module):
metric_info = module._info()
with gr.Blocks() as demo:
gr.Markdown(f"### {metric_info.description}")
gr.Markdown(f"**Citation:** {metric_info.citation}")
gr.Markdown(f"**Inputs Description:** {metric_info.inputs_description}")
input_data = gr.Dataframe(
headers=["Predictions", "References"],
row_count=1,
label="Input Predictions and References"
)
run_button = gr.Button("Run NED")
output = gr.Textbox(label="NED Score")
run_button.click(
compute_ned,
inputs=input_data,
outputs=output,
)
demo.launch()
custom_launch_gradio_widget(module)
|