Update qa.py

qa.py

@@ -18,9 +18,9 @@ def transcribe_audio_deepgram(local_audio_path: str) -> str:
         raise ValueError("Deepgram API key not found in environment variables.")
 
     url = "https://api.deepgram.com/v1/listen?model=nova-2&smart_format=true"
+    # For WAV -> "audio/wav". If user uploads MP3, you'd use "audio/mpeg".
     headers = {
         "Authorization": f"Token {DEEPGRAM_API_KEY}",
-        # Adjust Content-Type if user upload might be MP3: "audio/mpeg"
         "Content-Type": "audio/wav"
     }
 
@@ -51,11 +51,10 @@ def call_llm_for_qa(conversation_so_far: str, user_question: str) -> dict:
     {{ "speaker": "John", "text": "Sure, here's my answer..." }}
     """
 
-    # We'll rely on a helper in utils.py to do the Groq call:
     from utils import call_groq_api_for_qa
 
     raw_json_response = call_groq_api_for_qa(system_prompt)
-    # Expect a JSON string like: {"speaker": "John", "text": "some short answer"}
+    # Expect a JSON string: {"speaker": "John", "text": "some short answer"}
     response_dict = json.loads(raw_json_response)
     return response_dict
 
@@ -69,13 +68,12 @@ def handle_qa_exchange(user_question: str) -> (bytes, str):
     """
     conversation_so_far = st.session_state.get("conversation_history", "")
 
-    # Ask LLM
+    # Ask the LLM
     response_dict = call_llm_for_qa(conversation_so_far, user_question)
     answer_text = response_dict.get("text", "")
     speaker = response_dict.get("speaker", "John")
 
     # Update conversation
-    # e.g., "User: question" and "John: answer"
     new_history = conversation_so_far + f"\nUser: {user_question}\n{speaker}: {answer_text}\n"
     st.session_state["conversation_history"] = new_history
 
@@ -83,7 +81,7 @@ def handle_qa_exchange(user_question: str) -> (bytes, str):
         return (None, "")
 
     # TTS
-    audio_file_path = generate_audio_mp3(answer_text, "John")  # using John voice
+    audio_file_path = generate_audio_mp3(answer_text, "John")  # always John
     with open(audio_file_path, "rb") as f:
         audio_bytes = f.read()