add human

app.py

@@ -12,7 +12,7 @@ def predict_gender(filepath):
     with torch.no_grad():
         output = model.forward(audio)
         probs = torch.softmax(output, dim=1)
-        prob_dict = {model.pred2gender[i]: float(prob) for i, prob in enumerate(probs[0])}
+        prob_dict = {'Human ' + model.pred2gender[i]: float(prob) for i, prob in enumerate(probs[0])}
     return prob_dict
 
 audio_component = gr.Audio(type='filepath', label='Upload your audio file here')