Update app.py

app.py

@@ -13,8 +13,10 @@ learn = load_learner('xresnet50_pitch3.pkl')
 
 labels = learn.dls.vocab
 
-def predict(path):
-
+def predict(path_mic, path_upload):
+    if path_mic:
+        path = path_mic
+    else: path = path_upload
     pred,pred_idx,probs = learn.predict(str(path))
 
     return {labels[i]: float(probs[i]) for i in range(len(labels))}