Shami2English / app.py
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Update app.py
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import streamlit as st
from transformers import pipeline
pipeline = pipeline(task="translation", model="guymorlan/Shami2English")
st.title("Levantine Arabic to English")
num_translations = st.sidebar.selectbox("Number of Translations:", [1, 2, 3, 4, 5], index=0)
input_text = st.text_input("Enter Arabic text:")
if input_text:
result = pipeline(input_text, max_length=1024, num_return_sequences=num_translations, num_beams=max(num_translations, 5))
st.markdown("<div style='font-size:24px;'>", 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("<br>", unsafe_allow_html=True)
st.markdown("</div>", unsafe_allow_html=True)