import streamlit as st from transformers import pipeline pipeline = pipeline(task="translation", model="guymorlan/English2Shami") st.title("English to Levantine Arabic") num_translations = st.sidebar.selectbox("Number of Translations:", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], index=2) input_text = st.text_input("Enter English text:") if input_text: result = pipeline(input_text, max_length=1024, num_return_sequences=num_translations, num_beams=max(num_translations, 5)) # st.markdown("
", unsafe_allow_html=True) outs = list(set([x["translation_text"] for x in result])) for i in range(len(outs)): st.markdown(f"
{outs[i]}
", unsafe_allow_html=True) st.markdown("
", unsafe_allow_html=True) #st.markdown("
", unsafe_allow_html=True)