Update app.py

app.py

@@ -32,7 +32,7 @@ def predict_and_ctc_lm_decode(input_file):
     harassment_detection = pipe3(transcribed_text)
     harassment_detection={dic["label"]: dic["score"] for dic in harassment_detection}
     #harassment_detection = np.where(harassment_detection['label']== 0, 'No Harassment', 'Harassment')
-    return sentiment
+    return harassment_detection
 #sexism_detection, harassment_detection
 
 gr.Interface(
@@ -42,7 +42,7 @@ gr.Interface(
     ],
     #outputs=[gr.outputs.Label(num_top_classes=2),gr.outputs.Label(num_top_classes=2), gr.outputs.Label(num_top_classes=2)],
     outputs=[gr.outputs.Label(num_top_classes=2)],
-    examples=[["respiracion_happiness.wav"]],
+    examples=[["audio_test.wav"]],
     title="Sentiment Analysis of Spanish Transcribed Audio",
     description="This is a Gradio demo for Sentiment Analysis of Transcribed Spanish Audio",
     layout="horizontal",