Added gradio app

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from transformers import VitsModel, AutoTokenizer
+import torch
+import tempfile
+import scipy.io.wavfile
+
+# Load model and tokenizer
+model = VitsModel.from_pretrained("facebook/mms-tts-sag")
+tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-sag")
+
+# Text-to-speech function
+def tts_sango(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    with torch.no_grad():
+        output = model(**inputs).waveform[0]
+    # Save waveform to a temporary .wav file
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
+        scipy.io.wavfile.write(f.name, model.config.sampling_rate, output.numpy())
+        return f.name
+
+# Gradio interface
+demo = gr.Interface(
+    fn=tts_sango,
+    inputs=gr.Textbox(label="Enter Sango Text"),
+    outputs=gr.Audio(label="Generated Audio"),
+    title="Sango TTS with MMS",
+    description="Text-to-Speech using Facebook's MMS model for Sango language"
+)
+
+if __name__ == "__main__":
+    demo.launch()