Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import logging
+import time
 from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
 # Set the logger to display only CRITICAL messages
@@ -29,10 +30,13 @@ st.title("Interact with Your Model")
 user_input = st.text_area("Enter your prompt:", "")
 
 if st.button("Submit"):
-    if user_input:  # This will update every time the user_input changes
+    if user_input:
         generated_text = generate_text(user_input)
-        # Display as markdown
-        st.markdown(generated_text)
+        for i in range(1, len(generated_text) + 1):
+            # Update the output placeholder with a substring of the generated text
+            output_placeholder.markdown(generated_text[:i])
+            # Sleep to simulate typing
+            time.sleep(0.1)  # Adjust the sleep time to speed up or slow down the "typing"
     else:
         st.write("Please enter a prompt to get started.")