Update app.py

app.py

@@ -13,9 +13,9 @@ learn = load_learner('xresnet50_pitch3.pkl')
 
 labels = learn.dls.vocab
 
-def predict(path_mic, path_upload):
-    if path_upload: path = path_upload
-    else: path = path_mic
+def predict(Record, Upload):
+    if path_upload: path = Upload
+    else: path = Record
     pred,pred_idx,probs = learn.predict(str(path))
 
     return {labels[i]: float(probs[i]) for i in range(len(labels))}