diff --git a/src/translator.py b/src/translator.py
deleted file mode 100644
index 44ad8fae95..0000000000
--- a/src/translator.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import os
-from openai import AzureOpenAI
-import langdetect
-
-#initialize the Azure OpenAI client
-client = AzureOpenAI(
-    api_key=os.getenv("AZURE_OPENAI_API_KEY"),  #use environment variable for the API key
-    api_version="2024-02-15-preview",
-    azure_endpoint="https://bluesleep-ai.openai.azure.com/"
-)
-
-def translate(content: str) -> tuple[bool, str]:
-    """
-    Translate non-English text into English using Azure OpenAI model.
-    Returns a tuple (is_english, translated_content).
-    """
-    #check if the content is already in English
-    language_type = get_language(content)
-    
-    #if the content is detected as English, return it as-is
-    if language_type == "English":
-        return (True, content)
-
-    #if the content is non-English, proceed with translation
-    translated_text = get_translation(content)
-    return (False, translated_text)
-
-def get_translation(post: str) -> str:
-    """Translate non-English text into English using Azure OpenAI model."""
-    context = "Please translate the following text into English:"
-    prompt = f"{context}\n{post}"
-
-    try:
-        response = client.chat.completions.create(
-            model="gpt-4o-mini",
-            messages=[{"role": "user", "content": prompt}]
-        )
-
-        if response.choices:
-            translation = response.choices[0].message.content.strip()
-            #clean up the response to only get the translation
-            if "translation of" in translation:
-                return translation.split("is")[-1].strip()  # Extract the actual translation part
-            return translation
-        else:
-            return "Error: No choices returned from the model."
-    except Exception as e:
-        return f"Error in translation: {str(e)}"
-
-def get_language(post: str) -> str:
-    """
-    Classify the input text as 'English' or 'Non-English' using LLM.
-    Returns 'English' if detected as English, otherwise 'Non-English'.
-    """
-    context = "Classify the following text as 'English' or 'Non-English'. Respond with only 'English' or 'Non-English'."
-    prompt = f"{context}\n{post}"
-
-    try:
-        response = client.chat.completions.create(
-            model="gpt-4o-mini",
-            messages=[{"role": "user", "content": prompt}]
-        )
-
-        if response.choices:
-            classification = response.choices[0].message.content.strip().lower()
-            if classification in ["english", "non-english"]:
-                return classification.capitalize()  #capitalize to match the format
-            else:
-                return "Error: Invalid classification response"
-        else:
-            return "Error: No choices returned from the model."
-
-    except Exception as e:
-        return f"Error in classification: {str(e)}"