|
import requests
|
|
import os
|
|
|
|
|
|
|
|
API_TOKEN = os.getenv("HF_API_TOKEN")
|
|
|
|
|
|
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 (No local download needed).
|
|
"""
|
|
prompt = f"Translate the following {source_lang} code to {target_lang}:\n\n{code_snippet}\n\nTranslated {target_lang} Code:"
|
|
|
|
response = requests.post(API_URL, headers=HEADERS, json={"inputs": prompt})
|
|
|
|
if response.status_code == 200:
|
|
return response.json()[0]["generated_text"]
|
|
else:
|
|
return f"Error: {response.status_code}, {response.text}"
|
|
|
|
|
|
source_code = """
|
|
def add(a, b):
|
|
return a + b
|
|
"""
|
|
translated_code = translate_code(source_code, "Python", "Java")
|
|
print("Translated Java Code:\n", translated_code)
|
|
|
|
|
|
|
|
|