app.py

from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate
import streamlit as st
import os
import openai




openai_api_k = os.getenv("openai_key")


llm = ChatOpenAI(temperature=0, model="gpt-3.5-turbo",openai_api_key=openai_api_k)


prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a helpful assistant that translates {il} to {ol}."),
    ("human", "{input}")
])


st.title("Language Translator")

languages = ["English", "Telugu", "Hindi", "Tamil", "Malayalam","Kannada"]

input_language = st.selectbox("Input Language", languages)
output_language = st.selectbox("Output Language", languages)
input_text = st.text_area("Input Text:", height=100)


if st.button("Translate"):
    if input_language and output_language and input_text:
        chain = prompt | llm
        response = chain.invoke({
            "il": input_language,
            "ol": output_language,
            "input": input_text
        })
        st.text_area("Translated Text:", value=response.content, height=100)