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import streamlit as st | |
from transformers import pipeline | |
# Ensure sentencepiece is installed | |
try: | |
import sentencepiece | |
except ImportError: | |
st.error("The 'sentencepiece' library is required. Install it using 'pip install sentencepiece'.") | |
# Initialize the translation pipeline | |
translator = pipeline("translation_en_to_es", model="Helsinki-NLP/opus-mt-en-es") | |
# Streamlit app | |
st.title("English-to-Spanish Translation App") | |
st.write("Translate your text from English to Spanish with ease using Hugging Face models.") | |
# Input text box for user | |
text = st.text_area("Enter text in English:", placeholder="Type your text here...", height=150) | |
# Button to trigger translation | |
if st.button("Translate"): | |
if not text.strip(): | |
st.error("Please provide text to translate.") | |
else: | |
with st.spinner("Translating..."): | |
try: | |
# Perform translation | |
translation = translator(text) | |
translated_text = translation[0]["translation_text"] | |
st.subheader("Translated Text (Spanish):") | |
st.write(translated_text) | |
except Exception as e: | |
st.error(f"An error occurred during translation: {e}") | |