Update conver.py

conver.py

@@ -166,19 +166,22 @@ 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]:
-        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)
+    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")
+            
         return text, output_file
+        
+    except Exception as e:
+        print(f"ERROR: {str(e)}")
+        return f"Error: {str(e)}", None