path

app.py

@@ -6,14 +6,13 @@ from transformers import pipeline
 pipeline = pipeline("audio-classification", model="DanielDBGC/my_awesome_lang_class_mind_model")
 
 def predict(input_sound):
-    print(input_sound)
-    predictions = pipeline(input_sound[1])
+    predictions = pipeline(input_sound)
     return {p["label"]: p["score"] for p in predictions} 
 
 gradio_app = gr.Interface(
-    predict,
-    inputs= [gr.Audio(label="Record or upload someone speaking!", sources=['upload', 'microphone'], type = 'numpy')],
-    outputs=[gr.Label(label="Result", num_top_classes=3)],
+    fn = predict,
+    inputs= [gr.Audio(label="Record or upload someone speaking!", sources=['upload', 'microphone'], type="filepath")],
+    outputs= [gr.Label(label="Result", num_top_classes=3)],
     title="Guess the language!",
 )