Delete app.py

app.py

@@ -1,34 +0,0 @@
-import gradio as gr
-import time
-ser_examples = [
-    "03-01-01-01-01-01-18.wav",
-    "03-01-03-01-01-01-21.wav",
-]
-
-def ser(audio):
-    temp_df = pd.DataFrame(columns=(['wav_file','label']))
-    temp_df.loc[0,'wav_file'] = audio
-    temp_df['label'] = 'unknow'
-    label,probs,scores = model_1.predict_df(temp_df)
-    return scores
-
-ser_record = gr.Interface(
-    fn=ser, 
-    title=None,
-    inputs= gr.Audio(source="microphone", type="filepath"), 
-    interactive = True,
-    outputs="label",
-    description='Record audio')
-
-
-ser_upload = gr.Interface(
-    fn=ser,
-    title=None,
-    inputs= gr.Audio(source="upload", type="filepath"), 
-    interactive = True,
-    examples=ser_examples,
-    outputs="label",
-    description='Upload audio')
-
-app = gr.TabbedInterface([ser_record, ser_upload], tab_names= ["Record audio", "Upload audio"])
-app.launch()