Create app.py

app.py

@@ -0,0 +1,19 @@
+import tempfile ,os
+import gradio as gr
+from transformers import VitsModel, AutoTokenizer
+import torch
+import numpy as np
+import torchaudio
+
+model = VitsModel.from_pretrained("SeyedAli/Arabic-Speech-synthesis")
+tokenizer = AutoTokenizer.from_pretrained("SeyedAli/Arabic-Speech-synthesis")
+
+def TTS(text):
+   inputs = tokenizer(text, return_tensors="pt")
+   with torch.no_grad():
+        output = model(**inputs).waveform 
+   with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        torchaudio.save(fp, output, model.config.sampling_rate,format="wav")
+        return fp.name
+iface = gr.Interface(fn=TTS, inputs="text", outputs="audio")
+iface.launch(share=False)