Spaces:
Sleeping
Sleeping
File size: 1,388 Bytes
313db47 4a67ed5 313db47 4a67ed5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
import streamlit as st
from transformers import pipeline
# Title of the app
st.title("🌐 Language Translator")
# Load translation pipeline
@st.cache_resource
def load_translation_pipeline(language_code):
model_name = f"Helsinki-NLP/opus-mt-en-{language_code}"
return pipeline("translation", model=model_name)
# Input text
text_to_translate = st.text_area("Enter text in English to translate:")
# Target language selection
languages = {
"German": "de",
"French": "fr",
"Spanish": "es",
"Italian": "it",
"Chinese": "zh",
"Hindi": "hi",
}
target_language = st.selectbox("Select target language:", options=list(languages.keys()))
# Translation action
if st.button("Translate"):
if not text_to_translate.strip():
st.warning("Please enter some text to translate.")
else:
# Get the language code for the selected target language
language_code = languages[target_language]
# Load the translation model
translator = load_translation_pipeline(language_code)
# Perform translation
with st.spinner("Translating..."):
try:
result = translator(text_to_translate)[0]['translation_text']
st.success("Translated Text:")
st.write(result)
except Exception as e:
st.error(f"An error occurred: {e}")
|