Update app.py

app.py

@@ -1,7 +1,7 @@
 import time
 
 import streamlit as st
-
+import subprocess
 from highlighter import show_highlights
 from utils import (
     download_quantized_model,
@@ -19,6 +19,11 @@ model_names = [
     "prithivida/grammar_error_correcter_v2",
 ]
 
+st.write("Output of `pip freeze`:")
+p = subprocess.Popen(["pip", "freeze"], stdout=subprocess.PIPE)
+output = p.communicate()[0]
+st.code(output.decode("utf-8"))
+
 
 def predict(model, args, text: str):
     return model.generate_text(text, args=args).text