Update translator.py

translator.py

@@ -1,35 +1,58 @@
-import requests
-import os
-
-# Your Hugging Face API token (Replace 'your_token_here' with your actual token)
-
-API_TOKEN = os.getenv("HF_API_TOKEN") 
-
-# 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 (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}"
-
-# Example usage
-source_code = """
-def add(a, b):
-    return a + b
-"""
-translated_code = translate_code(source_code, "Python", "Java")
-print("Translated Java Code:\n", translated_code)
-
-
-
+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)