fixed word embedding issue

app.py

@@ -12,7 +12,7 @@ def run(name):
         hidden_tensor = rnn.init_hidden()
         for i in range(input_tensor.size()[0]):
             output, hidden_tensor = rnn(input_tensor[i], hidden_tensor)
-        return f"It is an {language_map[torch.argmax(output).item()]} name"
+        return f"It is {language_map[torch.argmax(output).item()]} name"
 
 rnn = model.RNN(N_LETTERS, 128, 19)
 rnn.load_state_dict(torch.load('rnn.pth'))