Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import pipeline
+
+accuracy_pipeline = pipeline(task="audio-classification", model="JohnJumon/pronunciation_accuracy")
+fluency_pipeline = pipeline(task="audio-classification", model="JohnJumon/fluency_accuracy")
+prosodic_pipeline = pipeline(task="audio-classification", model="JohnJumon/prosodic_accuracy")
+
+def pronunciation_scoring(audio):
+  accuracy = accuracy_classifier(audio)
+  fluency = fluency_classifier(audio)
+  prosodic = prosodic_classifier(audio)
+  result = {
+      'accuracy': accuracy,
+      'fluency': fluency,
+      'prosodic': prosodic
+      }
+  for category, scores in result.items():
+    max_score_label = max(scores, key=lambda x: x['score'])['label']
+    result[category] = max_score_label
+  return result
+
+gradio_app = gr.Interface(
+    pronunciation_scoring,
+    inputs=gr.Audio(sources=["microphone"]),
+    outputs=gr.Label(label="Result"),
+    title="Pronunciation Scoring",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()