Update app.py

app.py

@@ -1,13 +1,19 @@
+import subprocess
 import streamlit as st
 from fastT5 import export_and_get_onnx_model, get_onnx_model
 
-model_name = "stas/mt5-tiny-random"
-model = export_and_get_onnx_model(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+p = subprocess.Popen(["pip", "freeze"], stdout=subprocess.PIPE)
+output = p.communicate()[0]
+st.code(output.decode("utf-8"))
+
+MODEL_NAME = "stas/mt5-tiny-random"
+
+model = export_and_get_onnx_model(MODEL_NAME)
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+
 tokenized = tokenizer("Will this work?", return_tensors="pt")
 tokens = model.generate(
   input_ids=tokenized["input_ids"],
   attention_mask=tokenized["attention_mask"],
 )
-
 st.write(tokenizer.decode(tokens.squeeze(), skip_special_tokens=True))