import streamlit as st
from transformers import pipeline
# Load translation pipeline (placeholder - you can load your fine-tuned model here)
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hi")
# Set Streamlit page config
st.set_page_config(page_title="Translator", layout="wide")
# UI Design starts here
st.markdown("""
""", unsafe_allow_html=True)
st.markdown('
English - Detected
Hindi
English
Spanish
All (50)
', unsafe_allow_html=True)
st.markdown("---")
# Create two columns
col1, col2 = st.columns(2)
with col1:
st.markdown('hi how are you
', unsafe_allow_html=True)
user_input = st.text_area("", "hi how are you", height=250)
translate_button = st.button("Translate", use_container_width=True)
with col2:
if translate_button and user_input:
# Translate text
translated_text = translator(user_input, max_length=400)[0]['translation_text']
else:
translated_text = ""
st.markdown('' + (translated_text if translated_text else "") + '
', unsafe_allow_html=True)
if translated_text:
st.button("Copy", use_container_width=True)
st.button("Paraphrase", use_container_width=True)