Update app.py

app.py

@@ -92,18 +92,26 @@ def generate_audio_elevenlabs(text):
             "use_speaker_boost": False
         }
     }
-    response = requests.post(tts_url, headers=headers, json=data, stream=True)
-    if response.ok:
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
-            for chunk in response.iter_content(chunk_size=1024):
-                if chunk:
-                    f.write(chunk)
-            audio_path = f.name
-        return audio_path  # Return audio path for automatic playback
-    else:
-        logging.error(f"Error generating audio: {response.text}")
+    
+    try:
+        response = requests.post(tts_url, headers=headers, json=data, stream=True)
+        if response.ok:
+            # Create a proper temporary file for saving the audio response
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
+                for chunk in response.iter_content(chunk_size=1024):
+                    if chunk:
+                        f.write(chunk)
+                audio_path = f.name  # Get the path of the saved audio file
+            logging.debug(f"Audio saved to {audio_path}")
+            return audio_path  # Ensure the path is to a valid audio file
+        else:
+            logging.error(f"Error generating audio: {response.text}")
+            return None
+    except Exception as e:
+        logging.error(f"Exception in generating audio: {str(e)}")
         return None
 
+
 # Define the ASR model with Whisper
 model_id = 'openai/whisper-large-v3'
 device = "cuda:0" if torch.cuda.is_available() else "cpu"