Update app.py

app.py

@@ -23,7 +23,7 @@ def guessanAge(model, image):
 
 def text2speech(model, text):
     if len(text) > 0:
-        synthesiser   = pipeline("text-to-speech", model=model)
+        synthesiser = pipeline("text-to-speech", model=model)
         
         embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
         speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
@@ -32,7 +32,7 @@ def text2speech(model, text):
         audio_data = np.frombuffer(speech["audio"], dtype=np.float32)
         audio_data_16bit = (audio_data * 32767).astype(np.int16)
     
-        return sampling_rate, audio_data_16bit
+        return speech["sampling_rate"], audio_data_16bit
 
 radio1 = gr.Radio(["microsoft/resnet-50", "google/vit-base-patch16-224", "apple/mobilevit-small"], label="Select a Classifier", info="Image Classifier")
 tab1 = gr.Interface(