Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import torch
+from transformers import AutoModelForTextToWaveform, AutoTokenizer
+
+model_id = "kyutai/tts-1.6b-en_fr"
+model = AutoModelForTextToWaveform.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+def tts_fn(text, language="en"):
+    inputs = tokenizer(text, return_tensors="pt")
+    with torch.no_grad():
+        audio = model.generate(**inputs, language=language)
+    return (16000, audio.cpu().numpy())
+
+demo = gr.Interface(
+    fn=tts_fn,
+    inputs=[
+        gr.Textbox(label="Enter text"),
+        gr.Dropdown(["en", "fr"], value="en", label="Language"),
+    ],
+    outputs=gr.Audio(label="Generated Speech"),
+    title="Kyutai TTS Free Demo (CPU)",
+    description="⚠️ Running on free CPU → slow, but works!"
+)
+
+if __name__ == "__main__":
+    demo.launch()