Update app.py

app.py

@@ -676,6 +676,7 @@ class GroqRequest(BaseModel):
     url: str
     language: Optional[str] = None
     temperature: Optional[float] = 0.4
+    has_bg_music: Optional[bool] = False # Default to False for speed/resources
 
 def groq_json_to_srt(data):
     """Converte resposta verbose_json do Whisper/Groq para SRT"""
@@ -707,7 +708,7 @@ def groq_json_to_srt(data):
 
 from srt_utils import apply_netflix_style_filter, process_audio_for_transcription
 
-async def get_groq_srt_base(url: str, language: Optional[str] = None, temperature: Optional[float] = 0.4):
+async def get_groq_srt_base(url: str, language: Optional[str] = None, temperature: Optional[float] = 0.4, has_bg_music: bool = False):
     """
     Helper para gerar SRT base usando Groq (dando suporte a filtro Netflix).
     Retorna (srt_filtered, srt_word_level, processed_audio_url)
@@ -745,9 +746,9 @@ async def get_groq_srt_base(url: str, language: Optional[str] = None, temperatur
     
     try:
         # 2. Pré-processar (Remover ruído, filtrar voz, etc)
-        print(f"🔊 [Groq] Pré-processando áudio (Isolamento de voz + Highpass/Lowpass)...")
+        print(f"🔊 [Groq] Pré-processando áudio (has_bg_music={has_bg_music})...")
         # O process_audio cria um arquivo novo com .processed.mp3
-        processed_file_path = process_audio_for_transcription(filepath)
+        processed_file_path = process_audio_for_transcription(filepath, has_bg_music=has_bg_music)
         
         # Se processou, o caminho mudou. Vamos ver.
         if processed_file_path != filepath:
@@ -843,7 +844,8 @@ async def generate_subtitle_groq(request: GroqRequest):
         srt_filtered, srt_word, processed_audio_url = await get_groq_srt_base(
             url=request.url, 
             language=request.language, 
-            temperature=request.temperature
+            temperature=request.temperature,
+            has_bg_music=request.has_bg_music
         )
         
         return JSONResponse(content={