corr2

app.py

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