Update app.py

app.py

@@ -2,18 +2,18 @@ import tempfile ,os
 import gradio as gr
 from transformers import VitsModel, AutoTokenizer,pipeline
 import torch
+import numpy
 import scipy
 
 
 def TTS(text):
    model = VitsModel.from_pretrained("SeyedAli/Persian-Speech-synthesis")
    tokenizer = AutoTokenizer.from_pretrained("SeyedAli/Persian-Speech-synthesis")
-   #inputs = tokenizer(text, return_tensors="pt")
-   inputs = tokenizer(text)
+   inputs = tokenizer(text, return_tensors="pt")
    with torch.no_grad():
         output = model(**inputs).waveform
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
-        scipy.io.wavfile.write(fp, rate=model.config.sampling_rate, data=output) 
+        scipy.io.wavfile.write(fp, rate=model.config.sampling_rate, data=np.array(output)) 
         return fp.name 
 iface = gr.Interface(fn=TTS, inputs="text", outputs="audio")
 iface.launch(share=False)