Fix style

app.py

@@ -5,12 +5,14 @@ model_name = "juliensimon/wav2vec2-conformer-rel-pos-large-finetuned-speech-comm
 
 p = pipeline("audio-classification", model=model_name)
 
+
 def process(file):
-        pred = p(file)
-        return { x['label']:x['score'] for x in pred}
+    pred = p(file)
+    return {x["label"]: x["score"] for x in pred}
+
 
 # Gradio inputs
-mic = gr.inputs.Audio(source='microphone', type='filepath', label='Speech input')
+mic = gr.inputs.Audio(source="microphone", type="filepath", label="Speech input")
 
 # Gradio outputs
 labels = gr.outputs.Label(num_top_classes=3)
@@ -18,20 +20,20 @@ labels = gr.outputs.Label(num_top_classes=3)
 description = "This Space showcases a wav2vec2-conformer-rel-pos-large model fine-tuned for audio classification on the speech_commands dataset. \n \n It can spot one of the following keywords: 'Yes', 'No', 'Up', 'Down', 'Left', 'Right', 'On', 'Off', 'Stop', 'Go', 'Zero', 'One', 'Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Bed', 'Bird', 'Cat', 'Dog', 'Happy', 'House', 'Marvin', 'Sheila', 'Tree', 'Wow', 'Backward', 'Forward', 'Follow', 'Learn', 'Visual'."
 
 iface = gr.Interface(
-	theme='huggingface',
-	description=description,
-	fn=process,
-	inputs=[mic],
-	outputs=[labels],
-	examples=[
-		['backward16k.wav'],
-		['happy16k.wav'],
-		['marvin16k.wav'],
-		['seven16k.wav'],
-		['stop16k.wav'],
-		['up16k.wav'],
-	],
-    allow_flagging='never',
+    theme="huggingface",
+    description=description,
+    fn=process,
+    inputs=[mic],
+    outputs=[labels],
+    examples=[
+        ["backward16k.wav"],
+        ["happy16k.wav"],
+        ["marvin16k.wav"],
+        ["seven16k.wav"],
+        ["stop16k.wav"],
+        ["up16k.wav"],
+    ],
+    allow_flagging="never",
 )
 
 iface.launch()