Update app.py

app.py

@@ -1,18 +1,19 @@
 import streamlit as st
-from transformers import pipeline
+from transformers import pipeline, set_seed
 
 # Create a text generation pipeline with the "gpt2" model
 pipe = pipeline("text-generation", model="gpt2")
 
 st.title("Paraphrase Generator")
-user_word = st.text_input("Enter a word:")
+user_word = st.text_input("Enter a line:")
 
-if st.button("Generate Poem"):
+if st.button("Generate Paraphrase"):
     if user_word:
         # Prompt the model with a structured paraphrase request
         paraphrase_prompt= f"Write a Paraphrase about '{user_word}'.\n"
+        set_seed(42)
         paraphrase = pipe(paraphrase_prompt, max_length=200, do_sample=True, num_return_sequences=1)[0]["generated_text"]
         st.markdown("**Paraphrase:**")
         st.markdown(paraphrase)
     else:
-        st.warning("Please enter a word.")
+        st.warning("Please enter a line.")