Updating functions in app.py that is not compatible with latest gradio

app.py

@@ -1,6 +1,49 @@
 import evaluate
-from evaluate.utils import launch_gradio_widget
+from evaluate.utils import infer_gradio_input_types,parse_gradio_data,json_to_string_type,parse_readme
 
+from pathlib import Path
+import sys
+
+def launch_gradio_widget(metric):
+    """Launches `metric` widget with Gradio."""
+
+    try:
+        import gradio as gr
+    except ImportError as error:
+        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("dmx_perplexity")
 launch_gradio_widget(module)