Update conver.py

conver.py

@@ -166,22 +166,19 @@ class URLToAudioConverter:
         return final_output, conversation_text
 
     async def raw_text_to_audio(self, text: str, voice_1: str, voice_2: str) -> Tuple[str, str]:
-    try:
-        # 1. Guardar en el root del repo (sin subcarpetas)
-        output_file = f"podcast_{hashlib.md5(text.encode()).hexdigest()[:8]}.mp3"
-        
-        # 2. Nombre corto de la voz (sin sufijos)
-        voice = voice_1.split(" - ")[0]  # Ej: "es-ES-ElviraNeural"
-        
-        # 3. Generar audio y verificar
-        communicate = edge_tts.Communicate(text, voice)
-        await communicate.save(output_file)
-        
-        if not os.path.exists(output_file) or os.path.getsize(output_file) == 0:
-            raise RuntimeError("El archivo no se generó correctamente")
-            
+        conversation = {
+            "conversation": [
+                {"speaker": "Host", "text": text},
+                {"speaker": "Co-host", "text": "(Continuación del tema)"}
+            ]
+        }
+        audio_files, folder_name = await self.text_to_speech(conversation, voice_1, voice_2)
+        combined_audio = self.combine_audio_files(audio_files)
+        music_path = "assets/musica.mp3"
+        tags_paths = ["assets/tag.mp3", "assets/tag2.mp3"]
+        final_audio = self.add_background_music_and_tags(combined_audio, music_path, tags_paths)
+        output_file = os.path.join(folder_name, "raw_podcast_with_music.mp3")
+        final_audio.export(output_file, format="mp3")
+        for f in audio_files:
+            os.remove(f)
         return text, output_file
-        
-    except Exception as e:
-        print(f"ERROR: {str(e)}")
-        return f"Error: {str(e)}", None