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Create app.py
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import streamlit as st
from transformers import pipeline
from streamlit_language_texts import *
import torch
import os
st.set_page_config(layout="wide", page_title=app_title["eng"], page_icon="πŸ‡²πŸ‡¦")
token = os.getenv("HF_TOKEN")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
languages = {"πŸ‡¬πŸ‡§ English": "eng", "πŸ‡²πŸ‡¦ Darija": "ary", "πŸ‡ΈπŸ‡¦ Arabic": "ara", "πŸ‡«πŸ‡· French": "fra"}
if "lang" not in st.query_params:
st.query_params["lang"] = "eng"
st.rerun()
def set_language():
if "selected_language" in st.session_state:
st.query_params["lang"] = languages.get(st.session_state["selected_language"])
with st.sidebar:
sel_lang = st.selectbox(
"Select a primary language for this app",
options=languages,
on_change=set_language,
key="selected_language",
)
if 'eng2ary_pipe' not in st.session_state:
st.session_state['eng2ary_pipe'] = pipeline("text2text-generation", model="ychafiqui/english-to-darija-2", token=token, device=device)
if 'ary2eng_pipe' not in st.session_state:
st.session_state['ary2eng_pipe'] = pipeline("text2text-generation", model="ychafiqui/darija-to-english-2", token=token, device=device)
def eng_to_ary(text):
if text:
return st.session_state.eng2ary_pipe(text)[0]['generated_text']
else:
return ""
def ary_to_eng(text):
if text:
return st.session_state.ary2eng_pipe(text)[0]['generated_text']
else:
return ""
st.title(app_title[languages[sel_lang]])
st.write(app_description[languages[sel_lang]])
direction = st.radio(".", ["English to Darija", "Darija to English"], key="lang", horizontal=True, label_visibility="collapsed")
if direction == "English to Darija":
input_col, output_col = st.columns(2)
input_col_container = input_col.container()
eng_text = input_col_container.text_area("πŸ‡¬πŸ‡§ Write English text here", key="eng_text")
output_col_container = output_col.container()
output_col_container.text_area("πŸ‡²πŸ‡¦ Darija translation will appear here", value=eng_to_ary(eng_text))
elif direction == "Darija to English":
input_col, output_col = st.columns(2)
input_col_container = input_col.container()
ary_text = input_col_container.text_area("πŸ‡²πŸ‡¦ Write Darija text here", key="ary_text")
output_col_container = output_col.container()
output_col_container.text_area("πŸ‡¬πŸ‡§ English translation will appear here", value=ary_to_eng(ary_text))
st.markdown(app_footer[languages[sel_lang]])