Update utils.py

utils.py

@@ -165,7 +165,7 @@ def research_topic(topic: str) -> str:
     print("[DEBUG] Aggregated info from primary sources:")
     print(aggregated_info)
 
-    # If not enough data, fallback to LLM
+    # Fallback to LLM if insufficient
     if not is_sufficient(aggregated_info):
         print("[LOG] Insufficient info from primary sources. Fallback to LLM.")
         additional_info = query_llm_for_additional_info(topic, aggregated_info)
@@ -489,7 +489,7 @@ def transcribe_youtube_video_OLD_YTDLP(video_url: str) -> str:
 def _preprocess_text_for_tts(text: str, speaker: str) -> str:
     """
     1) "SaaS" => "sass"
-    2) Insert periods for uppercase abbreviations -> remove for TTS
+    2) Insert periods in uppercase abbreviations -> remove for TTS
     3) Convert decimals like "3.14" -> "three point one four"
     4) Convert pure integer numbers like "20" -> "twenty"
     5) Expand leftover all-caps
@@ -501,7 +501,7 @@ def _preprocess_text_for_tts(text: str, speaker: str) -> str:
     # 1) "SaaS" => "sass"
     text = re.sub(r"\b(?i)SaaS\b", "sass", text)
 
-    # 2) Insert periods in uppercase abbreviations (>=2 chars), then remove them
+    # 2) Insert periods for uppercase abbreviations (>=2 chars), then remove them
     def insert_periods_for_abbrev(m):
         abbr = m.group(0)
         parted = ".".join(list(abbr)) + "."
@@ -516,7 +516,7 @@ def _preprocess_text_for_tts(text: str, speaker: str) -> str:
     # 3) Hyphens -> spaces
     text = re.sub(r"-", " ", text)
 
-    # 4) Convert decimals (e.g. "3.14")
+    # 4) Convert decimals
     def convert_decimal(m):
         number_str = m.group()
         parts = number_str.split('.')
@@ -673,10 +673,9 @@ def mix_with_bg_music(spoken: AudioSegment, custom_music_path=None) -> AudioSegm
     final_mix = looped_music.overlay(spoken, position=2000)
     return final_mix
 
-# This function is new for short Q&A calls
+# For short Q&A calls
 def call_groq_api_for_qa(system_prompt: str) -> str:
     """
-    A minimal placeholder for your short Q&A LLM call.
     Must return a JSON string, e.g.:
     {"speaker": "John", "text": "Short answer here"}
     """