Update app.py

app.py

@@ -1,9 +1,33 @@
 import streamlit as st
 from transformers import pipeline
 
-pipe = pipeline('sentiment-analysis')
+# pipe = pipeline('sentiment-analysis')
 text = st.text_area('enter text: ')
 
+generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
+
+
+technical_text = """
+The CRISPR-Cas9 system enables precise genome editing by creating double-strand breaks at specific DNA locations, facilitating targeted genetic modifications.
+"""
+
+# Prompt para transformación
+prompt = f"Rewrite the following technical text in simple terms for a general audience:\n\n{text}\n\nSimplified version:"
+
+# Generar texto transformado
+result = generator(
+    prompt,
+    max_length=256,
+    num_return_sequences=1,
+    do_sample=True,
+    temperature=0,
+    top_p=0.9,
+    repetition_penalty=1.1,
+)
+
+print(result[0]['generated_text'])
+
+
 if text:
     out = pipe(text)
     st.json(out)