Update app.py

app.py

@@ -42,6 +42,11 @@ def asr_and_harassment_detection(input_file):
     return harassment_detection
 
 
+inputs=[gr.inputs.Audio(source="microphone", type="filepath", label="Record your audio")]
+outputs=[gr.outputs.Textbox(label="Predicción")]
+examples=[["audio2.wav"], ["sample_audio.wav"], ["test1.wav"], ["test2.wav"]]
+title="Spanish-Audio-Transcription-based-Harassment-Detection"
+
 description = """ This is a Gradio demo for Spanish audio transcription-based harassment detection. To use this, simply provide an audio input (audio recording or via microphone), which will subsequently be transcribed and classified as Harassment/non-harassment pertaining to audio (transcription) with the help of pre-trained models.
 
 
@@ -52,11 +57,10 @@ Pre-trained model used for Harassment Detection: [hackathon-pln-es/Detect-Acoso-
 
 gr.Interface(
     asr_and_harassment_detection,
-    inputs=[gr.inputs.Audio(source="microphone", type="filepath", label="Record your audio")],
-    outputs=[gr.outputs.Textbox(label="Predicción")],
-    #outputs=[gr.outputs.Label(num_top_classes=2),gr.outputs.Label(num_top_classes=2), gr.outputs.Label(num_top_classes=2)],,
-    examples=[["audio2.wav"], ["sample_audio.wav"], ["test1.wav"], ["test2.wav"]],
-    title="Spanish-Audio-Transcription-based-Harassment-Detection",
+    inputs=inputs,
+    outputs=outputs,
+    examples=examples,
+    title=title,
     description=description,
     layout="horizontal",
     theme="huggingface",