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| import evaluate | |
| from evaluate.utils import launch_gradio_widget | |
| import gradio as gr | |
| # from pathlib import Path | |
| # import sys | |
| # import os | |
| # from .logging import get_logger | |
| # logger = get_logger(__name__) | |
| # ### | |
| # def launch_gradio_widget(metric): | |
| # """Launches `metric` widget with Gradio.""" | |
| # try: | |
| # import gradio as gr | |
| # except ImportError as error: | |
| # logger.error("To create a metric widget with Gradio make sure gradio is installed.") | |
| # raise error | |
| # local_path = Path(sys.path[0]) | |
| # # if there are several input types, use first as default. | |
| # if isinstance(metric.features, list): | |
| # (feature_names, feature_types) = zip(*metric.features[0].items()) | |
| # else: | |
| # (feature_names, feature_types) = zip(*metric.features.items()) | |
| # gradio_input_types = infer_gradio_input_types(feature_types) | |
| # def compute(data): | |
| # return metric.compute(**parse_gradio_data(data, gradio_input_types)) | |
| # iface = gr.Interface( | |
| # fn=compute, | |
| # inputs=gr.Dataframe( | |
| # headers=feature_names, | |
| # col_count=len(feature_names), | |
| # row_count=1, | |
| # datatype=json_to_string_type(gradio_input_types), | |
| # ), | |
| # outputs=gr.Textbox(label=metric.name), | |
| # description=( | |
| # metric.info.description + "\nIf this is a text-based metric, make sure to wrap you input in double quotes." | |
| # " Alternatively you can use a JSON-formatted list as input." | |
| # ), | |
| # title=f"Metric: {metric.name}", | |
| # article=parse_readme(local_path / "README.md"), | |
| # # TODO: load test cases and use them to populate examples | |
| # # examples=[parse_test_cases(test_cases, feature_names, gradio_input_types)] | |
| # ) | |
| # iface.launch() | |
| # ### | |
| module = evaluate.load("saicharan2804/my_metric") | |
| # launch_gradio_widget(module) | |
| iface = gr.Interface( | |
| fn = module, | |
| inputs=[ | |
| gr.File(label="Generated SMILES"), | |
| gr.File(label="Training Data", value=None), | |
| ], | |
| outputs="text" | |
| ) | |
| iface.launch() |