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import requests
import os
# Retrieve Hugging Face API token from environment variable
API_TOKEN = os.getenv("HF_API_TOKEN")
if not API_TOKEN:
raise ValueError("⚠️ Error: Hugging Face API token is missing! Set the HF_API_TOKEN environment variable.")
# Define model and API endpoint
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.
"""
prompt = f"Translate the following {source_lang} code to {target_lang}:\n\n{code_snippet}\n\nTranslated {target_lang} Code:\n"
try:
response = requests.post(API_URL, headers=HEADERS, json={"inputs": prompt})
if response.status_code == 200:
response_json = response.json()
if isinstance(response_json, list) and len(response_json) > 0:
generated_text = response_json[0].get("generated_text", "")
translated_code = generated_text.split(f"Translated {target_lang} Code:\n")[-1].strip()
return translated_code
else:
return "⚠️ Error: Unexpected response format from API."
elif response.status_code == 400:
return "⚠️ Error: Invalid request. Check input format."
elif response.status_code == 401:
return "⚠️ Error: Unauthorized. Check your API token."
elif response.status_code == 403:
return "⚠️ Error: Access forbidden. You may need special access to this model."
elif response.status_code == 503:
return "⚠️ Error: Model is loading. Please wait a moment and try again."
else:
return f"⚠️ Error {response.status_code}: {response.text}"
except requests.exceptions.RequestException as e:
return f"⚠️ Network Error: {str(e)}"
# Example usage
if __name__ == "__main__":
source_code = """
def add(a, b):
return a + b
"""
translated_code = translate_code(source_code, "Python", "Java")
print("Translated Java Code:\n", translated_code)
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