Update app.py

app.py

@@ -23,12 +23,14 @@ def guessanAge(model, image):
 
 def text2speech(model, text):
     if len(text) > 0:
-        speechclassifier  = 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)
-        output = speechclassifier(text)
-        print(output, type(output) )
-        return output
+        
+        speech = synthesiser(text, forward_params={"speaker_embeddings": speaker_embedding})
+        print(speech, type(speech) )
+        return speech
 
 radio1 = gr.Radio(["microsoft/resnet-50", "google/vit-base-patch16-224", "apple/mobilevit-small"], label="Select a Classifier", info="Image Classifier")
 tab1 = gr.Interface(