tests

app.py

@@ -1,5 +1,7 @@
 import gradio as gr
-import transformers
+from datasets import load_dataset
+import torch
+from transformers import pipeline
 
 pipeline = pipeline("audio-classification", model="DanielDBGC/my_awesome_lang_class_mind_model")
 
@@ -13,7 +15,7 @@ def predict(input_sound):
 
 gradio_app = gr.Interface(
     predict,
-    inputs= 'Test' #gr.Audio(label="Record or upload someone speaking!", sources=['upload', 'microphone'], type = 'numpy'),
+    inputs= 'Test'#gr.Audio(label="Record or upload someone speaking!", sources=['upload', 'microphone'], type = 'numpy'),
     outputs=#[gr.Label(label="Result", num_top_classes=3)],
     title="Guess the language!",
 )