Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+import time
+
+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()