Update app.py

app.py

@@ -3,7 +3,15 @@ import streamlit as st
 
 #Nombre_modelo = 'pysentimiento/robertuito-sentiment-analysis'
 
-st.title("hola mundo")
+st.title("Ejercicio interfaz transformers pipeline")
+
+model_options = [
+    "facebook/bart-large-mnli",
+    "roberta-large-mnli",
+    "cross-encoder/nli-roberta-base"
+]
+# Seleccionar el modelo del pipeline
+selected_model = st.selectbox("Selecciona un modelo", model_options)
 
 #Clasificador =  pipeline('sentiment-analysis', model = Nombre_modelo,device='cuda')
 #Res=Cla("sundays are good day for relaxing")