app.py

import streamlit as st
import requests
import os  # Import os to access environment variables

# Get API token from environment variable
API_TOKEN = os.getenv("HF_API_TOKEN")  # Fetch token securely
MODEL_ID = "bigcode/starcoder"
API_URL = f"https://api-inference.huggingface.co/models/{MODEL_ID}"
HEADERS = {"Authorization": f"Bearer {API_TOKEN}"}

def translate_code(code_snippet, source_lang, target_lang):
    """Translate code using Hugging Face API securely."""
    prompt = f"Translate the following {source_lang} code to {target_lang}:\n\n{code_snippet}\n\nTranslated {target_lang} Code:\n"

    response = requests.post(API_URL, headers=HEADERS, json={
        "inputs": prompt,
        "parameters": {
            "max_new_tokens": 150,
            "temperature": 0.2,
            "top_k": 50,
            "stop": ["\n\n", "#", "//", "'''"]
        }
    })

    if response.status_code == 200:
        generated_text = response.json()[0]["generated_text"]
        translated_code = generated_text.split(f"Translated {target_lang} Code:\n")[-1].strip()
        return translated_code
    else:
        return f"Error: {response.status_code}, {response.text}"

# Streamlit UI
st.title("🔄 Code Translator using StarCoder")
st.write("Translate code between different programming languages using AI.")

languages = ["Python", "Java", "C++", "C"]

source_lang = st.selectbox("Select source language", languages)
target_lang = st.selectbox("Select target language", languages)
code_input = st.text_area("Enter your code here:", height=200)

if st.button("Translate"):
    if code_input.strip():
        with st.spinner("Translating..."):
            translated_code = translate_code(code_input, source_lang, target_lang)
            st.subheader("Translated Code:")
            st.code(translated_code, language=target_lang.lower())
    else:
        st.warning("⚠️ Please enter some code before translating.")