Upload app.py

app.py

@@ -1,40 +1,6 @@
-import gradio as gr
-import run
-import options as op
-import re
-import os
+import evaluate
+from evaluate.utils import launch_gradio_widget
 
-REGEX_YAML_BLOCK = re.compile(r"---[\n\r]+([\S\s]*?)[\n\r]+---[\n\r]")
 
-def parse_readme(filepath):
-    """Parses a repositories README and removes"""
-    if not os.path.exists(filepath):
-        return "No README.md found."
-    with open(filepath, "r") as f:
-        text = f.read()
-        match = REGEX_YAML_BLOCK.search(text)
-        if match:
-            text = text[match.end() :]
-    return text
-
-queries = []
-for query_dataset in op.queries.keys():
-	for query_file in op.queries[query_dataset].keys():
-		queries.append(query_dataset+'-'+query_file)
-
-iface = gr.Interface(
-	run.tp_tf_test,
-	[
-		gr.Radio(list(op.metrics.keys())),
-		gr.Radio(list(op.test_datasets.keys())),
-		gr.Radio(list(op.models.keys())),		
-		gr.Radio(queries),
-		gr.Radio(list(op.prompts.keys())),
-		gr.CheckboxGroup(list(op.prediction_strategy_options.keys())),
-	],
-	gr.File(),
-	title="Zero Shot Classification Tester",
-	article=parse_readme("README.md"),
-    	)
-
-iface.launch()
+module = evaluate.load("gorkaartola/metric_for_tp_fp_samples")
+launch_gradio_widget(module)