Update conver.py

conver.py

@@ -69,25 +69,27 @@ class URLToAudioConverter:
                 f"Devuelve SOLO un objeto JSON: "
                 f'{{"conversation": [{{"speaker": "Anfitrión1", "text": "..."}}, {{"speaker": "Anfitrión2", "text": "..."}}]}}'
             )
-            print(f"Texto de entrada: {text[:200]}...")
             response = self.llm_client.chat.completions.create(
                 messages=[{"role": "user", "content": prompt}],
                 model=self.config.model_name,
                 response_format={"type": "json_object"}
             )
             response_content = response.choices[0].message.content
-            print(f"Respuesta cruda del modelo: {response_content[:500]}...")
-            
+            # Clean response to ensure valid JSON
+            response_content = response_content.strip()
             # Extract valid JSON using regex
             json_match = re.search(r'\{.*\}', response_content, re.DOTALL)
-            if json_match:
-                json_str = json_match.group(0)
-            else:
+            if not json_match:
                 raise ValueError("No valid JSON object found in response")
-            
-            dialogue = json.loads(json_str)
+            json_str = json_match.group(0)
+            # Replace any problematic characters
+            json_str = json_str.replace('\n', '').replace('\r', '')
+            try:
+                dialogue = json.loads(json_str)
+            except json.JSONDecodeError as e:
+                raise ValueError(f"JSON parsing failed: {str(e)}")
             if not dialogue.get("conversation"):
-                print("Error: No valid conversation generated.")
+                raise ValueError("No valid conversation generated")
             return dialogue
         except Exception as e:
             raise RuntimeError(f"Failed to parse dialogue: {str(e)}")
@@ -101,7 +103,6 @@ class URLToAudioConverter:
             for i, turn in enumerate(conversation_json["conversation"]):
                 filename = output_dir / f"segment_{i}.mp3"
                 voice = voice_1 if turn["speaker"] == "Anfitrión1" else voice_2
-                print(f"Generando audio para {turn['speaker']}: {turn['text'][:50]}... con voz {voice}")
                 tmp_path = await self._generate_audio(turn["text"], voice)
                 os.rename(tmp_path, filename)
                 filenames.append(str(filename))
@@ -144,12 +145,10 @@ class URLToAudioConverter:
         tags_paths: List[str],
         custom_music_path: str = None
     ) -> AudioSegment:
-        # Use predefined paths if no custom path is provided
         music_file = custom_music_path if custom_music_path and os.path.exists(custom_music_path) else self.MUSICA_FONDO
         tag_outro_file = self.TAG1
         tag_trans_file = self.TAG2
 
-        # Check if files exist
         if not os.path.exists(music_file):
             raise FileNotFoundError(f"Music file not found: {music_file}")
         if not os.path.exists(tag_outro_file):
@@ -201,8 +200,8 @@ class URLToAudioConverter:
         combined = self.combine_audio_files(audio_files)
         final_audio = self.add_background_music_and_tags(
             combined,
-            self.MUSICA_FONDO,  # Use instance variable
-            [self.TAG1, self.TAG2],  # Use instance variables
+            self.MUSICA_FONDO,
+            [self.TAG1, self.TAG2],
             custom_music_path
         )
         output_path = os.path.join(folder_name, "podcast_final.mp3")