app.py

import openai
import os
import streamlit as st
from PIL import Image

def translate_to_japanese(api_key, text):
    """
    Translates English text to Japanese using OpenAI's API and provides pronunciation.
    """
    # Validate input
    if not api_key:
        return "Error: API key is missing."
    if not text:
        return "Error: Input text is empty."

    # Set the OpenAI API key
    openai.api_key = api_key
    
    # Define the messages for the chat model
    messages_translation = [
        {"role": "system", "content": "You are a helpful translator."},
        {"role": "user", "content": f"Translate the following English text to Japanese:\n\n{text}"}
    ]
    
    try:
        # Call the OpenAI API to get the Japanese translation
        response_translation = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",  # Use the correct endpoint for chat models
            messages=messages_translation,
            max_tokens=150,
            temperature=0.5
        )

        # Extract the Japanese translation from the response
        japanese_translation = response_translation.choices[0].message['content'].strip()

        # Define the messages for the pronunciation (Romaji) request
        messages_pronunciation = [
            {"role": "system", "content": "You are a helpful assistant who provides the Romaji (Japanese pronunciation in Latin script) of Japanese text."},
            {"role": "user", "content": f"Provide the Romaji pronunciation for the following Japanese text:\n\n{japanese_translation}"}
        ]
        
        # Call the OpenAI API to get the pronunciation
        response_pronunciation = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=messages_pronunciation,
            max_tokens=150,
            temperature=0.5
        )

        # Extract the pronunciation (Romaji) from the response
        pronunciation = response_pronunciation.choices[0].message['content'].strip()
        return japanese_translation, pronunciation

    except openai.error.OpenAIError as e:
        return f"OpenAI API error: {str(e)}", None
    except Exception as e:
        return f"An unexpected error occurred: {str(e)}", None

# Streamlit UI
st.title("English to Japanese Translator with Pronunciation")
st.markdown("Translate English text into Japanese and get its pronunciation (Romaji) using OpenAI's API.")


translateimg = Image.open("Untitled.png")  # Ensure the file is in the correct directory
st.image(translateimg, use_container_width=True)  # Adjust the size as per preference

# Access the API key from Hugging Face Secrets
api_key = os.getenv("OPENAI_API_KEY")

# Input field for the text
english_text = st.text_area("Enter the English text to translate")

# Button to trigger the translation
if st.button("Translate"):
    if api_key and english_text:
        japanese_text, pronunciation = translate_to_japanese(api_key, english_text)
        if pronunciation:
            st.markdown("### Translation Result:")
            st.write(f"**Japanese Output:** {japanese_text}")
            st.write(f"**Pronunciation:** {pronunciation}")
        else:
            st.error(japanese_text)  # Display error message if API call fails
    else:
        if not api_key:
            st.error("API key is missing. Please add it as a secret in Hugging Face Settings.")
        else:
            st.error("Please provide text to translate.")