Update app.py

app.py

@@ -1,6 +1,5 @@
 import subprocess
 import streamlit as st
-from fastT5 import export_and_get_onnx_model, get_onnx_model
 
 p = subprocess.Popen(["pip", "freeze"], stdout=subprocess.PIPE)
 output = p.communicate()[0]
@@ -8,6 +7,8 @@ st.code(output.decode("utf-8"))
 
 MODEL_NAME = "stas/mt5-tiny-random"
 
+from fastT5 import export_and_get_onnx_model, get_onnx_model  # this line will throw an error
+
 model = export_and_get_onnx_model(MODEL_NAME)
 tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)