Update qa.py

qa.py

@@ -36,8 +36,8 @@ def transcribe_audio_deepgram(local_audio_path: str) -> str:
 
 def call_llm_for_qa(conversation_so_far: str, user_question: str) -> dict:
     """
-    Minimal function that calls your LLM (Groq) to answer a follow-up question.
-    Returns a Python dict, e.g.: {"speaker": "John", "text": "..."}
+    Calls Groq LLM to answer a follow-up question.
+    Returns a Python dict: {"speaker": "John", "text": "..."}
     """
     system_prompt = f"""
     You are John, the guest speaker. The user is asking a follow-up question.
@@ -51,9 +51,9 @@ def call_llm_for_qa(conversation_so_far: str, user_question: str) -> dict:
     {{ "speaker": "John", "text": "Sure, here's my answer..." }}
     """
 
-    from utils import call_groq_api_for_qa
+    from utils import call_groq_api_for_qa  # Import from utils
 
-    raw_json_response = call_groq_api_for_qa(system_prompt)
+    raw_json_response = call_groq_api_for_qa(system_prompt)  # Corrected call
     # Expect a JSON string: {"speaker": "John", "text": "some short answer"}
     response_dict = json.loads(raw_json_response)
     return response_dict
@@ -84,5 +84,6 @@ def handle_qa_exchange(user_question: str) -> (bytes, str):
     audio_file_path = generate_audio_mp3(answer_text, "John")  # always John
     with open(audio_file_path, "rb") as f:
         audio_bytes = f.read()
+    os.remove(audio_file_path) #Added to remove audio files
 
     return (audio_bytes, answer_text)