app.py

import streamlit as st
from transformers import pipeline

st.title("Multilingual Translator Chatbot")

# Choose the translation models from Hugging Face
translation_models = {
    "English to German": "Helsinki-NLP/opus-mt-en-de",
    "German to English": "Helsinki-NLP/opus-mt-de-en",
    "English to French": "Helsinki-NLP/opus-mt-en-fr",
    "French to English": "Helsinki-NLP/opus-mt-fr-en",
    "English to Urdu": "Helsinki-NLP/opus-mt-en-ur",
    "Urdu to English": "Helsinki-NLP/opus-mt-ur-en",
    "English to Spanish": "Helsinki-NLP/opus-mt-en-es",
    "Spanish to English": "Helsinki-NLP/opus-mt-es-en",
    "English to Chinese": "Helsinki-NLP/opus-mt-en-zh",
    "Chinese to English": "Helsinki-NLP/opus-mt-zh-en",
    # Add more language pairs as needed
}

selected_translation = st.selectbox("Select translation model", list(translation_models.keys()))

# Load the translation pipeline
translator = pipeline(task="translation", model=translation_models[selected_translation])

# User input for translation
user_input = st.text_area("Enter text for translation:", "")

if st.button("Translate"):
    if user_input:
        # Perform translation
        translated_text = translator(user_input, max_length=500)[0]['translation_text']
        st.success(f"Translated Text: {translated_text}")
    else:
        st.warning("Please enter text for translation.")

st.markdown("---")

st.subheader("About")
st.write(
    "This is a simple Multilingual Translator chatbot that uses the Hugging Face Transformers library."
)
st.write(
    "Select a translation model from the dropdown, enter text, and click 'Translate' to see the translation."
)