experiment

app.py

@@ -1,6 +1,21 @@
-import evaluate
-from evaluate.utils import launch_gradio_widget
+import gradio as gr
+from absa_evaluator import AbsaEvaluatorTest
 
+def evaluate_texts(predictions, references):
+    evaluator = AbsaEvaluatorTest()
+    return evaluator.compute(predictions, references)
 
-module = evaluate.load("symanto/absa_test2/absa_evaluator")
-launch_gradio_widget(module)
+def main():
+    iface = gr.Interface(
+        fn=evaluate_texts,  # The evaluation function you want to use
+        inputs=[
+            gr.Textbox(lines=2, placeholder="Enter Predictions Here..."),
+            gr.Textbox(lines=2, placeholder="Enter References Here...")
+        ],
+        outputs=gr.Textbox()
+    )
+
+    iface.launch()
+
+if __name__ == "__main__":
+    main()

requirements.txt

@@ -1,2 +1,3 @@
 git+https://github.com/huggingface/evaluate@a4bdc10c48a450b978d91389a48dbb5297835c7d
-scikit-learn
+scikit-learn
+gradio