Add LLM translator service

src/translator.py

@@ -1,34 +1,49 @@
+import openai
+import time
+import os
+
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+openai.api_base = "https://elzeni-recitation-resource.openai.azure.com/"
+openai.api_type = "azure"
+openai.api_version = "2024-08-01-preview"
+deployment_name = "elzeni-gpt-4"
+
+
 def translate_content(content: str) -> tuple[bool, str]:
-    if content == "这是一条中文消息":
-        return False, "This is a Chinese message"
-    if content == "Ceci est un message en français":
-        return False, "This is a French message"
-    if content == "Esta es un mensaje en español":
-        return False, "This is a Spanish message"
-    if content == "Esta é uma mensagem em português":
-        return False, "This is a Portuguese message"
-    if content  == "これは日本語のメッセージです":
-        return False, "This is a Japanese message"
-    if content == "이것은 한국어 메시지입니다":
-        return False, "This is a Korean message"
-    if content == "Dies ist eine Nachricht auf Deutsch":
-        return False, "This is a German message"
-    if content == "Questo è un messaggio in italiano":
-        return False, "This is an Italian message"
-    if content == "Это сообщение на русском":
-        return False, "This is a Russian message"
-    if content == "هذه رسالة باللغة العربية":
-        return False, "This is an Arabic message"
-    if content == "यह हिंदी में संदेश है":
-        return False, "This is a Hindi message"
-    if content == "นี่คือข้อความภาษาไทย":
-        return False, "This is a Thai message"
-    if content == "Bu bir Türkçe mesajdır":
-        return False, "This is a Turkish message"
-    if content == "Đây là một tin nhắn bằng tiếng Việt":
-        return False, "This is a Vietnamese message"
-    if content == "Esto es un mensaje en catalán":
-        return False, "This is a Catalan message"
-    if content == "This is an English message":
-        return True, "This is an English message"
-    return True, content
+    context = """
+    You are a helpful assistant. Your task is to:
+    1. Identify the language of the following text.
+    2. Translate the text to English if it is not in English.
+    3. If the text is already in English, output the text as it is.
+    4. If the text is unintelligible or malformed, output only an empty string.
+    Provide your response in the format: "Language: <language>, Translation: <translation>"
+    """
+
+    retry_delay = 9
+
+    while True:
+        try:
+            # Call the OpenAI API
+            response = openai.ChatCompletion.create(
+                engine=deployment_name,
+                messages=[
+                    {"role": "system", "content": context},
+                    {"role": "user", "content": content},
+                ],
+            )
+
+            # Extract and process the response
+            response_text = response.choices[0].message.content.strip()
+            language, translation = response_text.split(", Translation: ")
+
+            # Determine if the original post was in English
+            is_english = language.lower() == "language: english"
+
+            return (is_english, translation)
+
+        except openai.error.RateLimitError:
+            time.sleep(retry_delay)
+
+        except Exception as e:
+            print(f"An error occurred: {e}")
+            return (False, "")